Add broader set of tests and API improvements, including job cancellation
rewbs
parent
802605a3a3
commit
517a14e817
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@ -14,4 +14,5 @@ scripts/deforum_helpers/navigation.py
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#test output
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htmlcov
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tests/results.xml
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.coverage*
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.coverage*
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serverlog.txt
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@ -3,3 +3,4 @@ syrupy
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pytest
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tenacity
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pydantic_requests
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moviepy
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@ -1,13 +1,19 @@
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import os
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import atexit
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import json
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import random
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import tempfile
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import traceback
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import logging
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import threading
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import debugpy
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from concurrent.futures import ThreadPoolExecutor
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from dataclasses import dataclass, replace
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from datetime import datetime
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from typing import Any, Dict, List
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from deforum_api_models import Batch, DeforumJobErrorType, DeforumJobStatusCategory, DeforumJobPhase, DeforumJobStatus
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from contextlib import contextmanager
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import gradio as gr
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from deforum_helpers.args import (DeforumAnimArgs, DeforumArgs,
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@ -15,9 +21,17 @@ from deforum_helpers.args import (DeforumAnimArgs, DeforumArgs,
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RootArgs, get_component_names)
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from fastapi import FastAPI, Response, status
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from modules.shared import cmd_opts, opts
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from modules.shared import cmd_opts, opts, state
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log = logging.getLogger(__name__)
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log_level = os.environ.get("DEFORUM_API_LOG_LEVEL") or os.environ.get("SD_WEBUI_LOG_LEVEL") or "INFO"
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log.setLevel(log_level)
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logging.basicConfig(
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format='%(asctime)s %(levelname)s [%(name)s] %(message)s',
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datefmt='%Y-%m-%d %H:%M:%S',
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)
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def make_ids(job_count: int):
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batch_id = f"batch({random.randint(0, 1e9)})"
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job_ids = [f"{batch_id}-{i}" for i in range(job_count)]
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@ -33,37 +47,48 @@ def get_default_value(name:str):
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else:
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return None
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def run_deforum_batch(batch_id : str, deforum_settings : List[Any] ):
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print("started run_deforum_batch")
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def run_deforum_batch(batch_id: str, job_ids: [str], deforum_settings_files: List[Any], opts_overrides: Dict[str, Any] = None):
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log.info(f"Starting batch {batch_id} in thread {threading.get_ident()}.")
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try:
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with A1111OptionsOverrider(opts_overrides):
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# Fill deforum args with default values.
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# We are overriding everything with the batch files, but some values are eagerly validated, so must appear valid.
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component_names = get_component_names()
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prefixed_gradio_args = 2
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expected_arg_count = prefixed_gradio_args + len(component_names)
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run_deforum_args = [None] * expected_arg_count
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for idx, name in enumerate(component_names):
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run_deforum_args[prefixed_gradio_args + idx] = get_default_value(name)
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# Fill args with default values.
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# We are overriding everything with the batch files, but some values are eagerly validated, so must appear valid.
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component_names = get_component_names()
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prefixed_gradio_args = 2
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expected_arg_count = prefixed_gradio_args + len(component_names)
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run_deforum_args = [None] * expected_arg_count
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for idx, name in enumerate(component_names):
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run_deforum_args[prefixed_gradio_args + idx] = get_default_value(name)
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# For some values, defaults don't pass validation...
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run_deforum_args[prefixed_gradio_args + component_names.index('animation_prompts')] = '{"0":"dummy value"}'
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run_deforum_args[prefixed_gradio_args + component_names.index('animation_prompts_negative')] = ''
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# For some values, defaults don't pass validation...
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run_deforum_args[prefixed_gradio_args + component_names.index('animation_prompts')] = '{"0":"dummy value"}'
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run_deforum_args[prefixed_gradio_args + component_names.index('animation_prompts_negative')] = ''
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# Arg 0 is a UID for the batch
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run_deforum_args[0] = batch_id
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# Arg 0 is a UID for the batch
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run_deforum_args[0] = batch_id
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# Setup batch override
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run_deforum_args[prefixed_gradio_args + component_names.index('override_settings_with_file')] = True
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run_deforum_args[prefixed_gradio_args + component_names.index('custom_settings_file')] = deforum_settings_files
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# Setup batch override
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run_deforum_args[prefixed_gradio_args + component_names.index('override_settings_with_file')] = True
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run_deforum_args[prefixed_gradio_args + component_names.index('custom_settings_file')] = deforum_settings
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# Cleanup old state from previously cancelled jobs
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# WARNING: not thread safe because state is global. If we ever run multiple batches in parallel, this will need to be reworked.
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state.skipped = False
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state.interrupted = False
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# Invoke deforum with appropriate args
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from deforum_helpers.run_deforum import run_deforum
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run_deforum(*run_deforum_args)
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# Invoke deforum with appropriate args
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from deforum_helpers.run_deforum import run_deforum
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run_deforum(*run_deforum_args)
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except Exception as e:
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log.error(f"Batch {batch_id} failed: {e}")
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traceback.print_exc()
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for job_id in job_ids:
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# Mark all jobs in this batch as failed
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JobStatusTracker().fail_job(job_id, 'TERMINAL', {e})
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#
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# API to allow a batch of jobs to be submitted to the deforum pipeline.
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# A batch is settings object OR a list of settings objects.
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# A settings object is the JSON structure you can find in your saved settings.txt files.
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@ -87,6 +112,7 @@ def deforum_api(_: gr.Blocks, app: FastAPI):
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apiState = ApiState()
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# Submit a new batch
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@app.post("/deforum_api/batches")
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async def run_batch(batch: Batch, response: Response):
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@ -97,6 +123,7 @@ def deforum_api(_: gr.Blocks, app: FastAPI):
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return {"message": "No settings files provided. Please provide an element 'deforum_settings' of type list in the request JSON payload."}
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if not isinstance(deforum_settings_data, list):
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# Allow input deforum_settings to be top-level object as well as single object list
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deforum_settings_data = [deforum_settings_data]
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deforum_settings_tempfiles = []
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@ -110,38 +137,94 @@ def deforum_api(_: gr.Blocks, app: FastAPI):
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[batch_id, job_ids] = make_ids(job_count)
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apiState.submit_job(batch_id, job_ids, deforum_settings_tempfiles, batch.options_overrides)
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for job_id in job_ids:
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JobStatusTracker().accept_job(batch_id=batch_id, job_id=job_id)
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for idx, job_id in enumerate(job_ids):
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JobStatusTracker().accept_job(batch_id=batch_id, job_id=job_id, deforum_settings=deforum_settings_data[idx], options_overrides=batch.options_overrides)
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response.status_code = status.HTTP_202_ACCEPTED
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return {"message": "Job(s) accepted", "batch_id": batch_id, "job_ids": job_ids }
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# List all batches and theit job ids
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@app.get("/deforum_api/batches")
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async def list_batches(id: str):
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return JobStatusTracker().batches
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# Show the details of all jobs in a batch
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@app.get("/deforum_api/batches/{id}")
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async def get_batch(id: str):
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async def get_batch(id: str, response: Response):
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jobsForBatch = JobStatusTracker().batches[id]
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if not jobsForBatch:
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response.status_code = status.HTTP_404_NOT_FOUND
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return {"id": id, "status": "NOT FOUND"}
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return [JobStatusTracker().get(job_id) for job_id in jobsForBatch]
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## TODO ##
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# Cancel all jobs in a batch
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@app.delete("/deforum_api/batches/{id}")
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async def stop_batch(id: str, response: Response):
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response.status_code = status.HTTP_501_NOT_IMPLEMENTED
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return {"id": id, "status": "NOT IMPLEMENTED"}
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async def cancel_batch(id: str, response: Response):
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jobsForBatch = JobStatusTracker().batches[id]
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cancelled_jobs = []
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if not jobsForBatch:
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response.status_code = status.HTTP_404_NOT_FOUND
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return {"id": id, "status": "NOT FOUND"}
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for job_id in jobsForBatch:
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try:
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cancelled = _cancel_job(job_id)
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if cancelled:
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cancelled_jobs.append(job_id)
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except:
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log.warning(f"Failed to cancel job {job_id}")
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return {"ids": cancelled_jobs, "message:": f"{len(cancelled_jobs)} job(s) cancelled." }
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# Show details of all jobs across al batches
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@app.get("/deforum_api/jobs")
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async def list_jobs():
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return JobStatusTracker().statuses
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# Show details of a single job
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@app.get("/deforum_api/jobs/{id}")
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async def get_job(id: str):
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return JobStatusTracker().get(id)
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async def get_job(id: str, response: Response):
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jobStatus = JobStatusTracker().get(id)
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if not jobStatus:
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response.status_code = status.HTTP_404_NOT_FOUND
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return {"id": id, "status": "NOT FOUND"}
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return jobStatus
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## TODO ##
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# Cancel a single job
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@app.delete("/deforum_api/jobs/{id}")
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async def stop_job(id: str, response: Response):
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response.status_code = status.HTTP_501_NOT_IMPLEMENTED
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return {"id": id, "status": "NOT IMPLEMENTED"}
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async def cancel_job(id: str, response: Response):
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debugpy.breakpoint()
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try:
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if _cancel_job(id):
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return {"id": id, "message": "Job cancelled."}
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else:
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response.status_code = status.HTTP_400_BAD_REQUEST
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return {"id": id, "message": f"Job with ID {id} not in a cancellable state. Has it already finished?"}
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except FileNotFoundError as e:
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response.status_code = status.HTTP_404_NOT_FOUND
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return {"id": id, "message": f"Job with ID {id} not found."}
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# Shared logic for job cancellation
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def _cancel_job(job_id:str):
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jobStatus = JobStatusTracker().get(job_id)
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if not jobStatus:
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raise FileNotFoundError(f"Job {job_id} not found.")
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if jobStatus.status != DeforumJobStatusCategory.ACCEPTED:
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# Ignore jobs in completed state (error or success)
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return False
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if job_id in ApiState().submitted_jobs:
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# Remove job from queue
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ApiState().submitted_jobs[job_id].cancel()
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if jobStatus.phase != DeforumJobPhase.QUEUED and jobStatus.phase != DeforumJobPhase.DONE:
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# Job must be actively running - interrupt it.
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# WARNING:
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# - Possible race condition: if job_id just finished after the check and another started, we'll interrupt the wrong job.
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# - Not thread safe because State object is global. Will break with concurrent jobs.
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state.interrupt()
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JobStatusTracker().cancel_job(job_id, "Cancelled due to user request.")
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return True
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class Singleton(type):
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_instances = {}
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def __call__(cls, *args, **kwargs):
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@ -151,50 +234,56 @@ class Singleton(type):
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# Maintains persistent state required by API, e.g. thread pook, list of submitted jobs.
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class ApiState(metaclass=Singleton):
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deforum_api_executor = ThreadPoolExecutor(max_workers=5)
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## Locking concurrency to 1. Concurrent generation does seem to work, but it's not clear if it's safe.
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## TODO: more experimentation required.
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deforum_api_executor = ThreadPoolExecutor(max_workers=1)
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submitted_jobs : Dict[str, Any] = {}
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@staticmethod
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def cleanup():
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ApiState().deforum_api_executor.shutdown(wait=False)
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def submit_job(self, batch_id: str, job_ids: [str], deforum_settings: List[Any], opts_overrides: Dict[str, Any] ):
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def task():
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print("started task")
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try:
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if opts_overrides is not None and len(opts_overrides)>1:
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original_opts = {k: opts.data[k] for k in opts_overrides.keys() if k in opts.data}
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print(f"Captured options to override: {original_opts}")
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print(f"Overriding with: {opts_overrides}")
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for k, v in opts_overrides.items():
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setattr(opts, k, v)
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run_deforum_batch(batch_id, deforum_settings)
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except Exception as e:
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print(f"Batch {batch_id} failed: {e}")
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traceback.print_exc()
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# Mark all jobs in this batch as failed
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for job_id in job_ids:
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JobStatusTracker().fail_job(job_id, 'TERMINAL', {e})
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finally:
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if (original_opts is not None):
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print(f"Restoring options")
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for k, v in original_opts.items():
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setattr(opts, k, v)
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print("submitting task")
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future = self.deforum_api_executor.submit(task)
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def submit_job(self, batch_id: str, job_ids: [str], deforum_settings: List[Any], opts_overrides: Dict[str, Any]):
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log.debug(f"Submitting batch {batch_id} to threadpool.")
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future = self.deforum_api_executor.submit(lambda: run_deforum_batch(batch_id, job_ids, deforum_settings, opts_overrides))
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self.submitted_jobs[batch_id] = future
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atexit.register(ApiState.cleanup)
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class A1111OptionsOverrider(object):
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def __init__(self, opts_overrides: Dict[str, Any]):
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self.opts_overrides = opts_overrides
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def __enter__(self):
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if self.opts_overrides is not None and len(self.opts_overrides)>1:
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self.original_opts = {k: opts.data[k] for k in self.opts_overrides.keys() if k in opts.data}
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log.debug(f"Captured options to override: {self.original_opts}")
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log.info(f"Setting options: {self.opts_overrides}")
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for k, v in self.opts_overrides.items():
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setattr(opts, k, v)
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else:
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self.original_opts = None
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return self
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def __exit__(self, exception_type, exception_value, traceback):
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if (exception_type is not None):
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log.warning(f"Error during batch execution: {exception_type} - {exception_value}")
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log.debug(f"{traceback}")
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if (self.original_opts is not None):
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log.info(f"Restoring options: {self.original_opts}")
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for k, v in self.original_opts.items():
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setattr(opts, k, v)
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# Maintains state that tracks status of submitted jobs,
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# so that clients can query job status.
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class JobStatusTracker(metaclass=Singleton):
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statuses: Dict[str, DeforumJobStatus] = {}
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batches: Dict[str, List[str]] = {}
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def accept_job(self, batch_id : str, job_id: str):
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def accept_job(self, batch_id : str, job_id: str, deforum_settings : List[Dict[str, Any]] , options_overrides : Dict[str, Any]):
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if batch_id in self.batches:
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self.batches[batch_id].append(job_id)
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else:
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@ -214,7 +303,9 @@ class JobStatusTracker(metaclass=Singleton):
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updates=0,
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message=None,
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outdir=None,
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timestring=None
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timestring=None,
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deforum_settings=deforum_settings,
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options_overrides=options_overrides,
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)
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def update_phase(self, job_id: str, phase: DeforumJobPhase, progress: float = 0):
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@ -279,15 +370,31 @@ class JobStatusTracker(metaclass=Singleton):
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)
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self.statuses[job_id] = new_status
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def cancel_job(self, job_id: str, message: str):
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if job_id in self.statuses:
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current_status = self.statuses[job_id]
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now = datetime.now().timestamp()
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new_status = replace(
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current_status,
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status=DeforumJobStatusCategory.CANCELLED,
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message=message,
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last_updated=now,
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execution_time=now-current_status.started_at,
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update_interval_time=now-current_status.last_updated,
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updates=current_status.updates+1
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)
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self.statuses[job_id] = new_status
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def get(self, job_id:str):
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return self.statuses[job_id]
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return self.statuses[job_id] if job_id in self.statuses else None
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def deforum_init_batch(_: gr.Blocks, app: FastAPI):
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settings_files = [open(filename, 'r') for filename in cmd_opts.deforum_run_now.split(",")]
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[batch_id, job_ids] = make_ids(len(settings_files))
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print(f"Starting batch with job(s) {job_ids}...")
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log.info(f"Starting init batch {batch_id} with job(s) {job_ids}...")
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run_deforum_batch(batch_id, settings_files)
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run_deforum_batch(batch_id, job_ids, settings_files, None)
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if cmd_opts.deforum_terminate_after_run_now:
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import os
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@ -11,6 +11,7 @@ class DeforumJobStatusCategory(str, Enum):
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ACCEPTED = "ACCEPTED"
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SUCCEEDED = "SUCCEEDED"
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FAILED = "FAILED"
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CANCELLED = "CANCELLED"
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class DeforumJobPhase(str, Enum):
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QUEUED = "QUEUED"
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@ -38,4 +39,6 @@ class DeforumJobStatus(BaseModel):
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updates: int # number of status updates so far
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message: Optional[str]
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outdir: Optional[str]
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timestring: Optional[str]
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timestring: Optional[str]
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deforum_settings : Optional[List[Dict[str, Any]]]
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options_overrides : Optional[Dict[str, Any]]
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@ -189,7 +189,7 @@ def run_deforum(*args):
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cn_inputframes_list = [os.path.join(args.outdir, f'controlnet_{i}_inputframes') for i in range(1, num_of_models + 1)]
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handle_cn_frames_deletion(cn_inputframes_list)
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root.initial_info += f"\n The animation is stored in {args.outdir}"
|
||||
root.initial_info = (root.initial_info or " ") + f"\n The animation is stored in {args.outdir}"
|
||||
reset_frames_cache(root) # cleanup the RAM in any case
|
||||
processed = Processed(p, [root.first_frame], 0, root.initial_info)
|
||||
|
||||
|
|
@ -201,6 +201,7 @@ def run_deforum(*args):
|
|||
persistent_sett_path = shared.opts.data.get("deforum_persistent_settings_path")
|
||||
save_settings_from_animation_run(args, anim_args, parseq_args, loop_args, controlnet_args, video_args, root, persistent_sett_path)
|
||||
|
||||
JobStatusTracker().complete_job(root.job_id)
|
||||
if (not shared.state.interrupted):
|
||||
JobStatusTracker().complete_job(root.job_id)
|
||||
|
||||
return processed.images, root.timestring, generation_info_js, processed.info
|
||||
|
|
|
|||
|
|
@ -137,18 +137,18 @@ def is_vid_path_valid(video_path):
|
|||
if video_path.startswith('http://') or video_path.startswith('https://'):
|
||||
response = requests.head(video_path, allow_redirects=True)
|
||||
if response.status_code == 404:
|
||||
raise ConnectionError("Video URL is not valid. Response status code: {}".format(response.status_code))
|
||||
raise ConnectionError(f"Video URL {video_path} is not valid. Response status code: {response.status_code}")
|
||||
elif response.status_code == 302:
|
||||
response = requests.head(response.headers['location'], allow_redirects=True)
|
||||
if response.status_code != 200:
|
||||
raise ConnectionError("Video URL is not valid. Response status code: {}".format(response.status_code))
|
||||
raise ConnectionError(f"Video URL {video_path} is not valid. Response status code: {response.status_code}")
|
||||
if extension not in file_formats:
|
||||
raise ValueError("Video file format '{}' not supported. Supported formats are: {}".format(extension, file_formats))
|
||||
raise ValueError(f"Video file {video_path} has format '{extension}', which not supported. Supported formats are: {file_formats}")
|
||||
else:
|
||||
if not os.path.exists(video_path):
|
||||
raise RuntimeError("Video path does not exist.")
|
||||
raise RuntimeError(f"Video path does not exist: {video_path}")
|
||||
if extension not in file_formats:
|
||||
raise ValueError("Video file format '{}' not supported. Supported formats are: {}".format(extension, file_formats))
|
||||
raise ValueError(f"Video file {video_path} has format '{extension}', which is not supported. Supported formats are: {file_formats}")
|
||||
return True
|
||||
|
||||
# quick-retreive frame count, FPS and H/W dimensions of a video (local or URL-based)
|
||||
|
|
|
|||
|
|
@ -0,0 +1,181 @@
|
|||
# serializer version: 1
|
||||
# name: test_post_process_FILM
|
||||
'''
|
||||
1
|
||||
00:00:00,000 --> 00:00:00,050
|
||||
F#: 0; Cadence: false; Seed: 1; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.002; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
2
|
||||
00:00:00,050 --> 00:00:00,100
|
||||
F#: 1; Cadence: false; Seed: 2; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
3
|
||||
00:00:00,100 --> 00:00:00,150
|
||||
F#: 2; Cadence: false; Seed: 3; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
4
|
||||
00:00:00,150 --> 00:00:00,200
|
||||
F#: 3; Cadence: false; Seed: 4; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
5
|
||||
00:00:00,200 --> 00:00:00,250
|
||||
F#: 4; Cadence: false; Seed: 5; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
6
|
||||
00:00:00,250 --> 00:00:00,300
|
||||
F#: 5; Cadence: false; Seed: 6; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
7
|
||||
00:00:00,300 --> 00:00:00,350
|
||||
F#: 6; Cadence: false; Seed: 7; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
8
|
||||
00:00:00,350 --> 00:00:00,400
|
||||
F#: 7; Cadence: false; Seed: 8; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
9
|
||||
00:00:00,400 --> 00:00:00,450
|
||||
F#: 8; Cadence: false; Seed: 9; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
10
|
||||
00:00:00,450 --> 00:00:00,500
|
||||
F#: 9; Cadence: false; Seed: 10; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
|
||||
'''
|
||||
# ---
|
||||
# name: test_post_process_RIFE
|
||||
'''
|
||||
1
|
||||
00:00:00,000 --> 00:00:00,050
|
||||
F#: 0; Cadence: false; Seed: 1; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.002; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
2
|
||||
00:00:00,050 --> 00:00:00,100
|
||||
F#: 1; Cadence: false; Seed: 2; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
3
|
||||
00:00:00,100 --> 00:00:00,150
|
||||
F#: 2; Cadence: false; Seed: 3; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
4
|
||||
00:00:00,150 --> 00:00:00,200
|
||||
F#: 3; Cadence: false; Seed: 4; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
5
|
||||
00:00:00,200 --> 00:00:00,250
|
||||
F#: 4; Cadence: false; Seed: 5; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
6
|
||||
00:00:00,250 --> 00:00:00,300
|
||||
F#: 5; Cadence: false; Seed: 6; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
7
|
||||
00:00:00,300 --> 00:00:00,350
|
||||
F#: 6; Cadence: false; Seed: 7; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
8
|
||||
00:00:00,350 --> 00:00:00,400
|
||||
F#: 7; Cadence: false; Seed: 8; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
9
|
||||
00:00:00,400 --> 00:00:00,450
|
||||
F#: 8; Cadence: false; Seed: 9; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
10
|
||||
00:00:00,450 --> 00:00:00,500
|
||||
F#: 9; Cadence: false; Seed: 10; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
|
||||
'''
|
||||
# ---
|
||||
# name: test_post_process_UPSCALE
|
||||
'''
|
||||
1
|
||||
00:00:00,000 --> 00:00:00,050
|
||||
F#: 0; Cadence: false; Seed: 1; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.002; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
2
|
||||
00:00:00,050 --> 00:00:00,100
|
||||
F#: 1; Cadence: false; Seed: 2; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
3
|
||||
00:00:00,100 --> 00:00:00,150
|
||||
F#: 2; Cadence: false; Seed: 3; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
4
|
||||
00:00:00,150 --> 00:00:00,200
|
||||
F#: 3; Cadence: false; Seed: 4; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
5
|
||||
00:00:00,200 --> 00:00:00,250
|
||||
F#: 4; Cadence: false; Seed: 5; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
6
|
||||
00:00:00,250 --> 00:00:00,300
|
||||
F#: 5; Cadence: false; Seed: 6; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
7
|
||||
00:00:00,300 --> 00:00:00,350
|
||||
F#: 6; Cadence: false; Seed: 7; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
8
|
||||
00:00:00,350 --> 00:00:00,400
|
||||
F#: 7; Cadence: false; Seed: 8; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
9
|
||||
00:00:00,400 --> 00:00:00,450
|
||||
F#: 8; Cadence: false; Seed: 9; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
10
|
||||
00:00:00,450 --> 00:00:00,500
|
||||
F#: 9; Cadence: false; Seed: 10; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
|
||||
'''
|
||||
# ---
|
||||
# name: test_post_process_UPSCALE_FILM
|
||||
'''
|
||||
1
|
||||
00:00:00,000 --> 00:00:00,050
|
||||
F#: 0; Cadence: false; Seed: 1; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.002; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
2
|
||||
00:00:00,050 --> 00:00:00,100
|
||||
F#: 1; Cadence: false; Seed: 2; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
3
|
||||
00:00:00,100 --> 00:00:00,150
|
||||
F#: 2; Cadence: false; Seed: 3; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
4
|
||||
00:00:00,150 --> 00:00:00,200
|
||||
F#: 3; Cadence: false; Seed: 4; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
5
|
||||
00:00:00,200 --> 00:00:00,250
|
||||
F#: 4; Cadence: false; Seed: 5; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
6
|
||||
00:00:00,250 --> 00:00:00,300
|
||||
F#: 5; Cadence: false; Seed: 6; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
7
|
||||
00:00:00,300 --> 00:00:00,350
|
||||
F#: 6; Cadence: false; Seed: 7; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
8
|
||||
00:00:00,350 --> 00:00:00,400
|
||||
F#: 7; Cadence: false; Seed: 8; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
9
|
||||
00:00:00,400 --> 00:00:00,450
|
||||
F#: 8; Cadence: false; Seed: 9; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
10
|
||||
00:00:00,450 --> 00:00:00,500
|
||||
F#: 9; Cadence: false; Seed: 10; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
|
||||
'''
|
||||
# ---
|
||||
|
|
@ -1,4 +1,49 @@
|
|||
# serializer version: 1
|
||||
# name: test_3d_mode
|
||||
'''
|
||||
1
|
||||
00:00:00,000 --> 00:00:00,050
|
||||
F#: 0; Cadence: false; Seed: 1; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.002; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
2
|
||||
00:00:00,050 --> 00:00:00,100
|
||||
F#: 1; Cadence: false; Seed: 2; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
3
|
||||
00:00:00,100 --> 00:00:00,150
|
||||
F#: 2; Cadence: false; Seed: 3; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
4
|
||||
00:00:00,150 --> 00:00:00,200
|
||||
F#: 3; Cadence: false; Seed: 4; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
5
|
||||
00:00:00,200 --> 00:00:00,250
|
||||
F#: 4; Cadence: false; Seed: 5; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
6
|
||||
00:00:00,250 --> 00:00:00,300
|
||||
F#: 5; Cadence: false; Seed: 6; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
7
|
||||
00:00:00,300 --> 00:00:00,350
|
||||
F#: 6; Cadence: false; Seed: 7; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
8
|
||||
00:00:00,350 --> 00:00:00,400
|
||||
F#: 7; Cadence: false; Seed: 8; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
9
|
||||
00:00:00,400 --> 00:00:00,450
|
||||
F#: 8; Cadence: false; Seed: 9; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
10
|
||||
00:00:00,450 --> 00:00:00,500
|
||||
F#: 9; Cadence: false; Seed: 10; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
|
||||
'''
|
||||
# ---
|
||||
# name: test_simple_settings
|
||||
'''
|
||||
1
|
||||
|
|
@ -42,5 +87,75 @@
|
|||
F#: 9; Cadence: false; Seed: 10; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
|
||||
'''
|
||||
# ---
|
||||
# name: test_with_hybrid_video
|
||||
'''
|
||||
1
|
||||
00:00:00,000 --> 00:00:00,050
|
||||
F#: 0; Cadence: false; Seed: 1; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.002; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
2
|
||||
00:00:00,050 --> 00:00:00,100
|
||||
F#: 1; Cadence: false; Seed: 2; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
3
|
||||
00:00:00,100 --> 00:00:00,150
|
||||
F#: 2; Cadence: false; Seed: 3; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: -1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
4
|
||||
00:00:00,150 --> 00:00:00,200
|
||||
F#: 3; Cadence: false; Seed: 4; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
5
|
||||
00:00:00,200 --> 00:00:00,250
|
||||
F#: 4; Cadence: false; Seed: 5; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 1; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 1; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: tiny cute swamp bunny, highly detailed, intricate, ultra hd, sharp photo, crepuscular rays, in focus, by tomasz alen kopera --neg
|
||||
|
||||
|
||||
'''
|
||||
# ---
|
||||
# name: test_with_parseq_inline
|
||||
'''
|
||||
1
|
||||
00:00:00,000 --> 00:00:00,050
|
||||
F#: 0; Cadence: false; Seed: 1; Angle: 0; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.002; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 55; SubSStrSch: 0; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 55; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: Parseq prompt! --neg neg parseq prompt!
|
||||
|
||||
2
|
||||
00:00:00,050 --> 00:00:00,100
|
||||
F#: 1; Cadence: false; Seed: 56; Angle: 30.111; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 56; SubSStrSch: 0.100; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 55.100; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: Parseq prompt! --neg neg parseq prompt!
|
||||
|
||||
3
|
||||
00:00:00,100 --> 00:00:00,150
|
||||
F#: 2; Cadence: false; Seed: 56; Angle: 14.643; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 56; SubSStrSch: 0.200; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 55.200; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: Parseq prompt! --neg neg parseq prompt!
|
||||
|
||||
4
|
||||
00:00:00,150 --> 00:00:00,200
|
||||
F#: 3; Cadence: false; Seed: 56; Angle: -8.348; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 56; SubSStrSch: 0.300; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 55.300; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: Parseq prompt! --neg neg parseq prompt!
|
||||
|
||||
5
|
||||
00:00:00,200 --> 00:00:00,250
|
||||
F#: 4; Cadence: false; Seed: 56; Angle: -27.050; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.003; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 56; SubSStrSch: 0.400; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 55.400; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: Parseq prompt! --neg neg parseq prompt!
|
||||
|
||||
6
|
||||
00:00:00,250 --> 00:00:00,300
|
||||
F#: 5; Cadence: false; Seed: 56; Angle: -31.856; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 56; SubSStrSch: 0.500; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 55.500; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: Parseq prompt! --neg neg parseq prompt!
|
||||
|
||||
7
|
||||
00:00:00,300 --> 00:00:00,350
|
||||
F#: 6; Cadence: false; Seed: 56; Angle: -20.298; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 56; SubSStrSch: 0.600; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 55.600; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: Parseq prompt! --neg neg parseq prompt!
|
||||
|
||||
8
|
||||
00:00:00,350 --> 00:00:00,400
|
||||
F#: 7; Cadence: false; Seed: 56; Angle: 1.688; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 56; SubSStrSch: 0.700; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 55.700; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: Parseq prompt! --neg neg parseq prompt!
|
||||
|
||||
9
|
||||
00:00:00,400 --> 00:00:00,450
|
||||
F#: 8; Cadence: false; Seed: 56; Angle: 22.806; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 56; SubSStrSch: 0.800; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 55.800; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: Parseq prompt! --neg neg parseq prompt!
|
||||
|
||||
10
|
||||
00:00:00,450 --> 00:00:00,500
|
||||
F#: 9; Cadence: false; Seed: 56; Angle: 32.209; Tr.C.X: 0.500; Tr.C.Y: 0.500; Zoom: 1.004; TrX: 0; TrY: 0; TrZ: 0; RotX: 0; RotY: 0; RotZ: 0; PerFlT: 0; PerFlP: 0; PerFlG: 0; PerFlFV: 53; Noise: 0.040; StrSch: 0.650; CtrstSch: 1; CFGSch: 7; P2PCfgSch: 1.500; SubSSch: 56; SubSStrSch: 0.900; CkptSch: model1.ckpt; StepsSch: 25; SeedSch: 55.900; SamplerSchedule: Euler a; ClipskipSchedule: 2; NoiseMultiplierSchedule: 1.050; MaskSchedule: {video_mask}; NoiseMaskSchedule: {video_mask}; AmountSchedule: 0.050; KernelSchedule: 5; SigmaSchedule: 1; ThresholdSchedule: 0; AspectRatioSchedule: 1; FieldOfViewSchedule: 70; NearSchedule: 200; CadenceFlowFactorSchedule: 1; RedoFlowFactorSchedule: 1; FarSchedule: 10000; HybridCompAlphaSchedule: 0.500; HybridCompMaskBlendAlphaSchedule: 0.500; HybridCompMaskContrastSchedule: 1; HybridCompMaskAutoContrastCutoffHighSchedule: 100; HybridCompMaskAutoContrastCutoffLowSchedule: 0; HybridFlowFactorSchedule: 1; Prompt: Parseq prompt! --neg neg parseq prompt!
|
||||
|
||||
|
||||
'''
|
||||
# ---
|
||||
|
|
|
|||
|
|
@ -1,31 +1,59 @@
|
|||
import pytest
|
||||
import subprocess
|
||||
import sys
|
||||
import os
|
||||
from subprocess import Popen, PIPE, STDOUT
|
||||
from pathlib import Path
|
||||
from tenacity import retry, stop_after_delay, wait_fixed
|
||||
import threading
|
||||
import requests
|
||||
|
||||
|
||||
def pytest_addoption(parser):
|
||||
parser.addoption("--start-server", action="store_true", help="start the server before the test run (if not specified you must start the server manually)")
|
||||
parser.addoption("--start-server", action="store_true", help="start the server before the test run (if not specified, you must start the server manually)")
|
||||
|
||||
@pytest.fixture
|
||||
def cmdopt(request):
|
||||
return request.config.getoption("--start-server")
|
||||
|
||||
|
||||
@retry(wait=wait_fixed(5), stop=stop_after_delay(60))
|
||||
def wait_for_service(url):
|
||||
response = requests.get(url)
|
||||
response = requests.get(url, timeout=(5, 5))
|
||||
print(f"Waiting for server to respond 200 at {url} (response: {response.status_code})...")
|
||||
assert response.status_code == 200
|
||||
|
||||
|
||||
@pytest.fixture(scope="session", autouse=True)
|
||||
def start_server(request):
|
||||
if request.config.getoption("--start-server"):
|
||||
print("Starting server...")
|
||||
subprocess.Popen(["python", "-m", "coverage", "run", "--data-file=.coverage.server", "launch.py", "--skip-prepare-environment", "--skip-torch-cuda-test", "--test-server", "--no-half", "--disable-opt-split-attention", "--use-cpu", "all", "--add-stop-route", "--api", "--deforum-api"],
|
||||
stdout=subprocess.PIPE,
|
||||
stderr=subprocess.PIPE)
|
||||
wait_for_service('http://localhost:7680')
|
||||
|
||||
# Kick off server subprocess
|
||||
script_directory = os.path.dirname(__file__)
|
||||
a1111_directory = Path(script_directory).parent.parent.parent # sd-webui/extensions/deforum/tests/ -> sd-webui
|
||||
print(f"Starting server in {a1111_directory}...")
|
||||
proc = Popen(["python", "-m", "coverage", "run", "--data-file=.coverage.server", "launch.py",
|
||||
"--skip-prepare-environment", "--skip-torch-cuda-test", "--test-server", "--no-half",
|
||||
"--disable-opt-split-attention", "--use-cpu", "all", "--add-stop-route", "--api", "--deforum-api", "--listen"],
|
||||
cwd=a1111_directory,
|
||||
stdout=PIPE,
|
||||
stderr=STDOUT,
|
||||
universal_newlines=True)
|
||||
|
||||
# ensure server is killed at the end of the test run
|
||||
request.addfinalizer(proc.kill)
|
||||
|
||||
# Spin up separate thread to capture the server output to file and stdout
|
||||
def server_console_manager():
|
||||
with proc.stdout, open('serverlog.txt', 'ab') as logfile:
|
||||
for line in proc.stdout:
|
||||
sys.stdout.write(f"[SERVER LOG] {line}")
|
||||
sys.stdout.flush()
|
||||
logfile.write(line.encode('utf-8'))
|
||||
logfile.flush()
|
||||
proc.wait()
|
||||
|
||||
threading.Thread(target=server_console_manager).start()
|
||||
|
||||
# Wait for deforum API to respond
|
||||
wait_for_service('http://localhost:7860/deforum_api/jobs/')
|
||||
|
||||
else:
|
||||
print("Assuming server is already running...")
|
||||
|
|
@ -0,0 +1,158 @@
|
|||
import os
|
||||
import json
|
||||
from scripts.deforum_api_models import DeforumJobStatus, DeforumJobStatusCategory, DeforumJobPhase
|
||||
import requests
|
||||
from moviepy.editor import VideoFileClip
|
||||
import glob
|
||||
from utils import wait_for_job_to_complete, wait_for_job_to_enter_phase, wait_for_job_to_enter_status, API_BASE_URL
|
||||
|
||||
from scripts.deforum_helpers.subtitle_handler import get_user_values
|
||||
|
||||
def test_post_process_FILM(snapshot):
|
||||
with open('tests/testdata/simple.input_settings.txt', 'r') as settings_file:
|
||||
deforum_settings = json.load(settings_file)
|
||||
|
||||
deforum_settings["frame_interpolation_engine"] = "FILM"
|
||||
deforum_settings["frame_interpolation_x_amount"] = 3
|
||||
deforum_settings["frame_interpolation_slow_mo_enabled"] = False
|
||||
|
||||
response = requests.post(API_BASE_URL+"/batches", json={
|
||||
"deforum_settings":[deforum_settings],
|
||||
"options_overrides": {
|
||||
"deforum_save_gen_info_as_srt": True,
|
||||
"deforum_save_gen_info_as_srt_params": get_user_values(),
|
||||
}
|
||||
})
|
||||
response.raise_for_status()
|
||||
job_id = response.json()["job_ids"][0]
|
||||
jobStatus = wait_for_job_to_complete(job_id)
|
||||
|
||||
assert jobStatus.status == DeforumJobStatusCategory.SUCCEEDED, f"Job {job_id} failed: {jobStatus}"
|
||||
|
||||
# Ensure parameters used at each frame have not regressed
|
||||
srt_filenname = os.path.join(jobStatus.outdir, f"{jobStatus.timestring}.srt")
|
||||
with open(srt_filenname, 'r') as srt_file:
|
||||
assert srt_file.read() == snapshot
|
||||
|
||||
# Ensure interpolated video format is as expected
|
||||
video_filenames = glob.glob(f'{jobStatus.outdir}/*FILM*.mp4', recursive=True)
|
||||
assert len(video_filenames) == 1, "Expected one FILM video to be generated"
|
||||
|
||||
interpolated_video_filename = video_filenames[0]
|
||||
clip = VideoFileClip(interpolated_video_filename)
|
||||
assert clip.fps == deforum_settings['fps'] * deforum_settings["frame_interpolation_x_amount"] , "Video FPS does not match input settings (fps * interpolation amount)"
|
||||
assert clip.duration * clip.fps == deforum_settings['max_frames'] * deforum_settings["frame_interpolation_x_amount"], "Video frame count does not match input settings (including interpolation)"
|
||||
assert clip.size == [deforum_settings['W'], deforum_settings['H']] , "Video dimensions are not as expected"
|
||||
|
||||
def test_post_process_RIFE(snapshot):
|
||||
with open('tests/testdata/simple.input_settings.txt', 'r') as settings_file:
|
||||
deforum_settings = json.load(settings_file)
|
||||
|
||||
deforum_settings["frame_interpolation_engine"] = "RIFE v4.6"
|
||||
deforum_settings["frame_interpolation_x_amount"] = 3
|
||||
deforum_settings["frame_interpolation_slow_mo_enabled"] = False
|
||||
|
||||
response = requests.post(API_BASE_URL+"/batches", json={
|
||||
"deforum_settings":[deforum_settings],
|
||||
"options_overrides": {
|
||||
"deforum_save_gen_info_as_srt": True,
|
||||
"deforum_save_gen_info_as_srt_params": get_user_values(),
|
||||
}
|
||||
})
|
||||
response.raise_for_status()
|
||||
job_id = response.json()["job_ids"][0]
|
||||
jobStatus = wait_for_job_to_complete(job_id)
|
||||
|
||||
assert jobStatus.status == DeforumJobStatusCategory.SUCCEEDED, f"Job {job_id} failed: {jobStatus}"
|
||||
|
||||
# Ensure parameters used at each frame have not regressed
|
||||
srt_filenname = os.path.join(jobStatus.outdir, f"{jobStatus.timestring}.srt")
|
||||
with open(srt_filenname, 'r') as srt_file:
|
||||
assert srt_file.read() == snapshot
|
||||
|
||||
# Ensure interpolated video format is as expected
|
||||
video_filenames = glob.glob(f'{jobStatus.outdir}/*RIFE*.mp4', recursive=True)
|
||||
assert len(video_filenames) == 1, "Expected one RIFE video to be generated"
|
||||
|
||||
interpolated_video_filename = video_filenames[0]
|
||||
clip = VideoFileClip(interpolated_video_filename)
|
||||
assert clip.fps == deforum_settings['fps'] * deforum_settings["frame_interpolation_x_amount"] , "Video FPS does not match input settings (fps * interpolation amount)"
|
||||
assert clip.duration * clip.fps == deforum_settings['max_frames'] * deforum_settings["frame_interpolation_x_amount"], "Video frame count does not match input settings (including interpolation)"
|
||||
assert clip.size == [deforum_settings['W'], deforum_settings['H']] , "Video dimensions are not as expected"
|
||||
|
||||
def test_post_process_UPSCALE(snapshot):
|
||||
with open('tests/testdata/simple.input_settings.txt', 'r') as settings_file:
|
||||
deforum_settings = json.load(settings_file)
|
||||
|
||||
deforum_settings["r_upscale_video"] = True
|
||||
deforum_settings["r_upscale_factor"] = "x4"
|
||||
deforum_settings["r_upscale_model"] = "realesrgan-x4plus"
|
||||
|
||||
response = requests.post(API_BASE_URL+"/batches", json={
|
||||
"deforum_settings":[deforum_settings],
|
||||
"options_overrides": {
|
||||
"deforum_save_gen_info_as_srt": True,
|
||||
"deforum_save_gen_info_as_srt_params": get_user_values(),
|
||||
}
|
||||
})
|
||||
response.raise_for_status()
|
||||
job_id = response.json()["job_ids"][0]
|
||||
jobStatus = wait_for_job_to_complete(job_id)
|
||||
|
||||
assert jobStatus.status == DeforumJobStatusCategory.SUCCEEDED, f"Job {job_id} failed: {jobStatus}"
|
||||
|
||||
# Ensure parameters used at each frame have not regressed
|
||||
srt_filenname = os.path.join(jobStatus.outdir, f"{jobStatus.timestring}.srt")
|
||||
with open(srt_filenname, 'r') as srt_file:
|
||||
assert srt_file.read() == snapshot
|
||||
|
||||
# Ensure interpolated video format is as expected
|
||||
video_filenames = glob.glob(f'{jobStatus.outdir}/*Upscaled*.mp4', recursive=True)
|
||||
assert len(video_filenames) == 1, "Expected one upscaled video to be generated"
|
||||
|
||||
interpolated_video_filename = video_filenames[0]
|
||||
clip = VideoFileClip(interpolated_video_filename)
|
||||
assert clip.fps == deforum_settings['fps'] , "Video FPS does not match input settings"
|
||||
assert clip.duration * clip.fps == deforum_settings['max_frames'], "Video frame count does not match input settings"
|
||||
assert clip.size == [deforum_settings['W']*4, deforum_settings['H']*4] , "Video dimensions are not as expected (including upscaling)"
|
||||
|
||||
|
||||
def test_post_process_UPSCALE_FILM(snapshot):
|
||||
with open('tests/testdata/simple.input_settings.txt', 'r') as settings_file:
|
||||
deforum_settings = json.load(settings_file)
|
||||
|
||||
deforum_settings["r_upscale_video"] = True
|
||||
deforum_settings["r_upscale_factor"] = "x4"
|
||||
deforum_settings["r_upscale_model"] = "realesrgan-x4plus"
|
||||
deforum_settings["frame_interpolation_engine"] = "FILM"
|
||||
deforum_settings["frame_interpolation_x_amount"] = 3
|
||||
deforum_settings["frame_interpolation_slow_mo_enabled"] = False
|
||||
deforum_settings["frame_interpolation_use_upscaled"] = True
|
||||
|
||||
response = requests.post(API_BASE_URL+"/batches", json={
|
||||
"deforum_settings":[deforum_settings],
|
||||
"options_overrides": {
|
||||
"deforum_save_gen_info_as_srt": True,
|
||||
"deforum_save_gen_info_as_srt_params": get_user_values(),
|
||||
}
|
||||
})
|
||||
response.raise_for_status()
|
||||
job_id = response.json()["job_ids"][0]
|
||||
jobStatus = wait_for_job_to_complete(job_id)
|
||||
|
||||
assert jobStatus.status == DeforumJobStatusCategory.SUCCEEDED, f"Job {job_id} failed: {jobStatus}"
|
||||
|
||||
# Ensure parameters used at each frame have not regressed
|
||||
srt_filenname = os.path.join(jobStatus.outdir, f"{jobStatus.timestring}.srt")
|
||||
with open(srt_filenname, 'r') as srt_file:
|
||||
assert srt_file.read() == snapshot
|
||||
|
||||
# Ensure interpolated video format is as expected
|
||||
video_filenames = glob.glob(f'{jobStatus.outdir}/*FILM*upscaled*.mp4', recursive=True)
|
||||
assert len(video_filenames) == 1, "Expected one upscaled video to be generated"
|
||||
|
||||
interpolated_video_filename = video_filenames[0]
|
||||
clip = VideoFileClip(interpolated_video_filename)
|
||||
assert clip.fps == deforum_settings['fps'] * deforum_settings["frame_interpolation_x_amount"] , "Video FPS does not match input settings (fps * interpolation amount)"
|
||||
assert clip.duration * clip.fps == deforum_settings['max_frames'] * deforum_settings["frame_interpolation_x_amount"], "Video frame count does not match input settings (including interpolation)"
|
||||
assert clip.size == [deforum_settings['W']*4, deforum_settings['H']*4] , "Video dimensions are not as expected (including upscaling)"
|
||||
|
|
@ -1,56 +1,166 @@
|
|||
import os
|
||||
import json
|
||||
from tenacity import retry, stop_after_delay, wait_fixed
|
||||
from scripts.deforum_api_models import DeforumJobStatus, DeforumJobStatusCategory
|
||||
from pydantic_requests import PydanticSession
|
||||
from scripts.deforum_api_models import DeforumJobStatus, DeforumJobStatusCategory, DeforumJobPhase
|
||||
import requests
|
||||
from moviepy.editor import VideoFileClip
|
||||
import glob
|
||||
from pathlib import Path
|
||||
from utils import wait_for_job_to_complete, wait_for_job_to_enter_phase, wait_for_job_to_enter_status, API_BASE_URL
|
||||
|
||||
from scripts.deforum_helpers.subtitle_handler import get_user_values
|
||||
|
||||
SERVER_BASE_URL = "http://localhost:7860"
|
||||
API_ROOT = "/deforum_api"
|
||||
API_BASE_URL = SERVER_BASE_URL + API_ROOT
|
||||
|
||||
#
|
||||
# Start server with:
|
||||
# python -m coverage run --data-file=.coverage.server launch.py --skip-prepare-environment --disable-nan-check --no-half --disable-opt-split-attention --add-stop-route --api --deforum-api --ckpt ./test/test_files/empty.pt
|
||||
#
|
||||
|
||||
@retry(wait=wait_fixed(2), stop=stop_after_delay(600))
|
||||
def wait_for_job_to_complete(id):
|
||||
with PydanticSession(
|
||||
{200: DeforumJobStatus}, headers={"accept": "application/json"}
|
||||
) as session:
|
||||
response = session.get(API_BASE_URL+"/jobs/"+id)
|
||||
response.raise_for_status()
|
||||
jobStatus : DeforumJobStatus = response.model
|
||||
print(f"Waiting for job {id}: status={jobStatus.status}; phase={jobStatus.phase}; execution_time:{jobStatus.execution_time}s")
|
||||
assert jobStatus.status != DeforumJobStatusCategory.ACCEPTED
|
||||
return jobStatus
|
||||
|
||||
|
||||
def test_simple_settings(snapshot):
|
||||
with open('tests/testdata/test1.input_settings.txt', 'r') as settings_file:
|
||||
with open('tests/testdata/simple.input_settings.txt', 'r') as settings_file:
|
||||
deforum_settings = json.load(settings_file)
|
||||
|
||||
response = requests.post(API_BASE_URL+"/batches", json={
|
||||
"deforum_settings":[deforum_settings],
|
||||
"options_overrides": {
|
||||
"deforum_save_gen_info_as_srt": True,
|
||||
"deforum_save_gen_info_as_srt_params": get_user_values(),
|
||||
}
|
||||
})
|
||||
response.raise_for_status()
|
||||
job_id = response.json()["job_ids"][0]
|
||||
jobStatus = wait_for_job_to_complete(job_id)
|
||||
|
||||
assert jobStatus.status == DeforumJobStatusCategory.SUCCEEDED, f"Job {job_id} failed: {jobStatus}"
|
||||
|
||||
# Ensure parameters used at each frame have not regressed
|
||||
srt_filenname = os.path.join(jobStatus.outdir, f"{jobStatus.timestring}.srt")
|
||||
with open(srt_filenname, 'r') as srt_file:
|
||||
assert srt_file.read() == snapshot
|
||||
|
||||
# Ensure video format is as expected
|
||||
video_filename = os.path.join(jobStatus.outdir, f"{jobStatus.timestring}.mp4")
|
||||
clip = VideoFileClip(video_filename)
|
||||
assert clip.fps == deforum_settings['fps'] , "Video FPS does not match input settings"
|
||||
assert clip.duration * clip.fps == deforum_settings['max_frames'] , "Video frame count does not match input settings"
|
||||
assert clip.size == [deforum_settings['W'], deforum_settings['H']] , "Video dimensions are not as expected"
|
||||
|
||||
|
||||
def test_api_cancel_active_job():
|
||||
with open('tests/testdata/simple.input_settings.txt', 'r') as settings_file:
|
||||
data = json.load(settings_file)
|
||||
response = requests.post(API_BASE_URL+"/batches", json={
|
||||
"deforum_settings":[data],
|
||||
"options_overrides": {
|
||||
"deforum_save_gen_info_as_srt": True,
|
||||
"deforum_save_gen_info_as_srt_params": get_user_values(),
|
||||
}
|
||||
})
|
||||
response = requests.post(API_BASE_URL+"/batches", json={"deforum_settings":[data]})
|
||||
response.raise_for_status()
|
||||
job_id = response.json()["job_ids"][0]
|
||||
wait_for_job_to_enter_phase(job_id, DeforumJobPhase.GENERATING)
|
||||
|
||||
cancel_url = API_BASE_URL+"/jobs/"+job_id
|
||||
response = requests.delete(cancel_url)
|
||||
response.raise_for_status()
|
||||
assert response.status_code == 200, f"DELETE request to {cancel_url} failed: {response.status_code}"
|
||||
|
||||
jobStatus = wait_for_job_to_complete(job_id)
|
||||
|
||||
assert jobStatus.status == DeforumJobStatusCategory.SUCCEEDED, f"Job {job_id} failed: {jobStatus}"
|
||||
|
||||
srt_filenname = os.path.join(jobStatus.outdir, f"{jobStatus.timestring}.srt")
|
||||
with open(srt_filenname, 'r') as srt_file:
|
||||
assert srt_file.read() == snapshot
|
||||
assert jobStatus.status == DeforumJobStatusCategory.CANCELLED, f"Job {job_id} did not cancel: {jobStatus}"
|
||||
|
||||
|
||||
def test_3d_mode(snapshot):
|
||||
with open('tests/testdata/simple.input_settings.txt', 'r') as settings_file:
|
||||
deforum_settings = json.load(settings_file)
|
||||
|
||||
deforum_settings['animation_mode'] = "3D"
|
||||
|
||||
response = requests.post(API_BASE_URL+"/batches", json={
|
||||
"deforum_settings":[deforum_settings],
|
||||
"options_overrides": {
|
||||
"deforum_save_gen_info_as_srt": True,
|
||||
"deforum_save_gen_info_as_srt_params": get_user_values(),
|
||||
}
|
||||
})
|
||||
response.raise_for_status()
|
||||
job_id = response.json()["job_ids"][0]
|
||||
jobStatus = wait_for_job_to_complete(job_id)
|
||||
|
||||
assert jobStatus.status == DeforumJobStatusCategory.SUCCEEDED, f"Job {job_id} failed: {jobStatus}"
|
||||
|
||||
# Ensure parameters used at each frame have not regressed
|
||||
srt_filenname = os.path.join(jobStatus.outdir, f"{jobStatus.timestring}.srt")
|
||||
with open(srt_filenname, 'r') as srt_file:
|
||||
assert srt_file.read() == snapshot
|
||||
|
||||
# Ensure video format is as expected
|
||||
video_filename = os.path.join(jobStatus.outdir, f"{jobStatus.timestring}.mp4")
|
||||
clip = VideoFileClip(video_filename)
|
||||
assert clip.fps == deforum_settings['fps'] , "Video FPS does not match input settings"
|
||||
assert clip.duration * clip.fps == deforum_settings['max_frames'] , "Video frame count does not match input settings"
|
||||
assert clip.size == [deforum_settings['W'], deforum_settings['H']] , "Video dimensions are not as expected"
|
||||
|
||||
|
||||
def test_with_parseq_inline(snapshot):
|
||||
with open('tests/testdata/simple.input_settings.txt', 'r') as settings_file:
|
||||
deforum_settings = json.load(settings_file)
|
||||
|
||||
with open('tests/testdata/parseq.json', 'r') as parseq_file:
|
||||
parseq_data = json.load(parseq_file)
|
||||
|
||||
deforum_settings['parseq_manifest'] = json.dumps(parseq_data)
|
||||
|
||||
response = requests.post(API_BASE_URL+"/batches", json={
|
||||
"deforum_settings":[deforum_settings],
|
||||
"options_overrides": {
|
||||
"deforum_save_gen_info_as_srt": True,
|
||||
"deforum_save_gen_info_as_srt_params": get_user_values(),
|
||||
}
|
||||
})
|
||||
response.raise_for_status()
|
||||
job_id = response.json()["job_ids"][0]
|
||||
jobStatus = wait_for_job_to_complete(job_id)
|
||||
|
||||
assert jobStatus.status == DeforumJobStatusCategory.SUCCEEDED, f"Job {job_id} failed: {jobStatus}"
|
||||
|
||||
# Ensure parameters used at each frame have not regressed
|
||||
srt_filenname = os.path.join(jobStatus.outdir, f"{jobStatus.timestring}.srt")
|
||||
with open(srt_filenname, 'r') as srt_file:
|
||||
assert srt_file.read() == snapshot
|
||||
|
||||
# Ensure video format is as expected
|
||||
video_filename = os.path.join(jobStatus.outdir, f"{jobStatus.timestring}.mp4")
|
||||
clip = VideoFileClip(video_filename)
|
||||
assert clip.fps == deforum_settings['fps'] , "Video FPS does not match input settings"
|
||||
assert clip.duration * clip.fps == deforum_settings['max_frames'] , "Video frame count does not match input settings"
|
||||
assert clip.size == [deforum_settings['W'], deforum_settings['H']] , "Video dimensions are not as expected"
|
||||
|
||||
|
||||
# def test_with_parseq_url():
|
||||
|
||||
def test_with_hybrid_video(snapshot):
|
||||
with open('tests/testdata/simple.input_settings.txt', 'r') as settings_file:
|
||||
deforum_settings = json.load(settings_file)
|
||||
|
||||
with open('tests/testdata/parseq.json', 'r') as parseq_file:
|
||||
parseq_data = json.load(parseq_file)
|
||||
|
||||
init_video_local_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "testdata", "example_init_vid.mp4")
|
||||
deforum_settings['video_init_path'] = init_video_local_path
|
||||
deforum_settings['extract_nth_frame'] = 200 # input video is 900 frames, so we should keep 5 frames
|
||||
deforum_settings["hybrid_generate_inputframes"] = True
|
||||
deforum_settings["hybrid_composite"] = "Normal"
|
||||
|
||||
response = requests.post(API_BASE_URL+"/batches", json={
|
||||
"deforum_settings":[deforum_settings],
|
||||
"options_overrides": {
|
||||
"deforum_save_gen_info_as_srt": True,
|
||||
"deforum_save_gen_info_as_srt_params": get_user_values(),
|
||||
}
|
||||
})
|
||||
response.raise_for_status()
|
||||
job_id = response.json()["job_ids"][0]
|
||||
jobStatus = wait_for_job_to_complete(job_id)
|
||||
|
||||
assert jobStatus.status == DeforumJobStatusCategory.SUCCEEDED, f"Job {job_id} failed: {jobStatus}"
|
||||
|
||||
# Ensure parameters used at each frame have not regressed
|
||||
srt_filenname = os.path.join(jobStatus.outdir, f"{jobStatus.timestring}.srt")
|
||||
with open(srt_filenname, 'r') as srt_file:
|
||||
assert srt_file.read() == snapshot
|
||||
|
||||
# Ensure video format is as expected
|
||||
video_filename = os.path.join(jobStatus.outdir, f"{jobStatus.timestring}.mp4")
|
||||
clip = VideoFileClip(video_filename)
|
||||
assert clip.fps == deforum_settings['fps'] , "Video FPS does not match input settings"
|
||||
assert clip.duration == 5 / deforum_settings['fps'], "Video frame count does not match input settings"
|
||||
assert clip.size == [deforum_settings['W'], deforum_settings['H']] , "Video dimensions are not as expected"
|
||||
|
||||
|
|
|
|||
Binary file not shown.
|
|
@ -0,0 +1,231 @@
|
|||
{
|
||||
"meta": {
|
||||
"generated_by": "sd_parseq",
|
||||
"version": "0.1.94",
|
||||
"generated_at": "Tue, 01 Aug 2023 03:02:03 GMT",
|
||||
"doc_id": "doc-9d687a32-6bb4-41e3-a974-e8c5a6a18571",
|
||||
"version_id": "version-9762c158-b3e0-471e-ad6b-97259c8a5141"
|
||||
},
|
||||
"prompts": {
|
||||
"format": "v2",
|
||||
"enabled": true,
|
||||
"commonPrompt": {
|
||||
"name": "Common",
|
||||
"positive": "",
|
||||
"negative": "",
|
||||
"allFrames": true,
|
||||
"from": 0,
|
||||
"to": 119,
|
||||
"overlap": {
|
||||
"inFrames": 0,
|
||||
"outFrames": 0,
|
||||
"type": "none",
|
||||
"custom": "prompt_weight_1"
|
||||
}
|
||||
},
|
||||
"commonPromptPos": "append",
|
||||
"promptList": [
|
||||
{
|
||||
"name": "Prompt 1",
|
||||
"positive": "Parseq prompt!",
|
||||
"negative": "neg parseq prompt!",
|
||||
"allFrames": false,
|
||||
"from": 0,
|
||||
"to": 119,
|
||||
"overlap": {
|
||||
"inFrames": 0,
|
||||
"outFrames": 0,
|
||||
"type": "none",
|
||||
"custom": "prompt_weight_1"
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"options": {
|
||||
"input_fps": 20,
|
||||
"bpm": 140,
|
||||
"output_fps": 20,
|
||||
"cc_window_width": 0,
|
||||
"cc_window_slide_rate": 1,
|
||||
"cc_use_input": false
|
||||
},
|
||||
"managedFields": [
|
||||
"seed",
|
||||
"angle"
|
||||
],
|
||||
"displayedFields": [
|
||||
"seed",
|
||||
"angle"
|
||||
],
|
||||
"keyframes": [
|
||||
{
|
||||
"frame": 0,
|
||||
"zoom": 1,
|
||||
"zoom_i": "C",
|
||||
"seed": 55,
|
||||
"noise": 0.04,
|
||||
"strength": 0.6,
|
||||
"prompt_weight_1": 1,
|
||||
"prompt_weight_1_i": "bez(0,0.6,1,0.4)",
|
||||
"prompt_weight_2": 0,
|
||||
"prompt_weight_2_i": "bez(0,0.6,1,0.4)",
|
||||
"angle": "",
|
||||
"angle_i": "sin(p=1b, a=45)"
|
||||
},
|
||||
{
|
||||
"frame": 10,
|
||||
"prompt_weight_1": 0,
|
||||
"prompt_weight_2": 1,
|
||||
"seed": 56
|
||||
}
|
||||
],
|
||||
"timeSeries": [],
|
||||
"keyframeLock": "frames",
|
||||
"reverseRender": false,
|
||||
"rendered_frames": [
|
||||
{
|
||||
"frame": 0,
|
||||
"seed": 55,
|
||||
"angle": 0,
|
||||
"deforum_prompt": "Parseq prompt! --neg neg parseq prompt!",
|
||||
"subseed": 55,
|
||||
"subseed_strength": 0,
|
||||
"seed_delta": 55,
|
||||
"seed_pc": 98.21428571428571,
|
||||
"angle_delta": 0,
|
||||
"angle_pc": 0
|
||||
},
|
||||
{
|
||||
"frame": 1,
|
||||
"seed": 55.1,
|
||||
"angle": 30.11087728614862,
|
||||
"deforum_prompt": "Parseq prompt! --neg neg parseq prompt!",
|
||||
"subseed": 56,
|
||||
"subseed_strength": 0.10000000000000142,
|
||||
"seed_delta": 0.10000000000000142,
|
||||
"seed_pc": 98.39285714285715,
|
||||
"angle_delta": 30.11087728614862,
|
||||
"angle_pc": 67.28163648031882
|
||||
},
|
||||
{
|
||||
"frame": 2,
|
||||
"seed": 55.2,
|
||||
"angle": 44.7534852915723,
|
||||
"deforum_prompt": "Parseq prompt! --neg neg parseq prompt!",
|
||||
"subseed": 56,
|
||||
"subseed_strength": 0.20000000000000284,
|
||||
"seed_delta": 0.10000000000000142,
|
||||
"seed_pc": 98.57142857142858,
|
||||
"angle_delta": 14.642608005423675,
|
||||
"angle_pc": 100
|
||||
},
|
||||
{
|
||||
"frame": 3,
|
||||
"seed": 55.3,
|
||||
"angle": 36.405764746872634,
|
||||
"deforum_prompt": "Parseq prompt! --neg neg parseq prompt!",
|
||||
"subseed": 56,
|
||||
"subseed_strength": 0.29999999999999716,
|
||||
"seed_delta": 0.09999999999999432,
|
||||
"seed_pc": 98.75,
|
||||
"angle_delta": -8.347720544699662,
|
||||
"angle_pc": 81.34732861516005
|
||||
},
|
||||
{
|
||||
"frame": 4,
|
||||
"seed": 55.4,
|
||||
"angle": 9.356026086799169,
|
||||
"deforum_prompt": "Parseq prompt! --neg neg parseq prompt!",
|
||||
"subseed": 56,
|
||||
"subseed_strength": 0.3999999999999986,
|
||||
"seed_delta": 0.10000000000000142,
|
||||
"seed_pc": 98.92857142857142,
|
||||
"angle_delta": -27.049738660073466,
|
||||
"angle_pc": 20.905692653530693
|
||||
},
|
||||
{
|
||||
"frame": 5,
|
||||
"seed": 55.5,
|
||||
"angle": -22.500000000000004,
|
||||
"deforum_prompt": "Parseq prompt! --neg neg parseq prompt!",
|
||||
"subseed": 56,
|
||||
"subseed_strength": 0.5,
|
||||
"seed_delta": 0.10000000000000142,
|
||||
"seed_pc": 99.10714285714286,
|
||||
"angle_delta": -31.856026086799172,
|
||||
"angle_pc": -50.275413978175834
|
||||
},
|
||||
{
|
||||
"frame": 6,
|
||||
"seed": 55.6,
|
||||
"angle": -42.79754323328191,
|
||||
"deforum_prompt": "Parseq prompt! --neg neg parseq prompt!",
|
||||
"subseed": 56,
|
||||
"subseed_strength": 0.6000000000000014,
|
||||
"seed_delta": 0.10000000000000142,
|
||||
"seed_pc": 99.28571428571429,
|
||||
"angle_delta": -20.297543233281903,
|
||||
"angle_pc": -95.62952014676112
|
||||
},
|
||||
{
|
||||
"frame": 7,
|
||||
"seed": 55.7,
|
||||
"angle": -41.109545593917034,
|
||||
"deforum_prompt": "Parseq prompt! --neg neg parseq prompt!",
|
||||
"subseed": 56,
|
||||
"subseed_strength": 0.7000000000000028,
|
||||
"seed_delta": 0.10000000000000142,
|
||||
"seed_pc": 99.46428571428572,
|
||||
"angle_delta": 1.6879976393648732,
|
||||
"angle_pc": -91.85775214172767
|
||||
},
|
||||
{
|
||||
"frame": 8,
|
||||
"seed": 55.8,
|
||||
"angle": -18.303148938411006,
|
||||
"deforum_prompt": "Parseq prompt! --neg neg parseq prompt!",
|
||||
"subseed": 56,
|
||||
"subseed_strength": 0.7999999999999972,
|
||||
"seed_delta": 0.09999999999999432,
|
||||
"seed_pc": 99.64285714285714,
|
||||
"angle_delta": 22.806396655506028,
|
||||
"angle_pc": -40.89770622145878
|
||||
},
|
||||
{
|
||||
"frame": 9,
|
||||
"seed": 55.9,
|
||||
"angle": 13.905764746872622,
|
||||
"deforum_prompt": "Parseq prompt! --neg neg parseq prompt!",
|
||||
"subseed": 56,
|
||||
"subseed_strength": 0.8999999999999986,
|
||||
"seed_delta": 0.10000000000000142,
|
||||
"seed_pc": 99.82142857142857,
|
||||
"angle_delta": 32.208913685283626,
|
||||
"angle_pc": 31.0719146369842
|
||||
},
|
||||
{
|
||||
"frame": 10,
|
||||
"seed": 56,
|
||||
"angle": 38.97114317029975,
|
||||
"deforum_prompt": "Parseq prompt! --neg neg parseq prompt!",
|
||||
"subseed": 56,
|
||||
"subseed_strength": 0,
|
||||
"seed_delta": 0.10000000000000142,
|
||||
"seed_pc": 100,
|
||||
"angle_delta": 25.065378423427127,
|
||||
"angle_pc": 87.07957138175908
|
||||
}
|
||||
],
|
||||
"rendered_frames_meta": {
|
||||
"seed": {
|
||||
"max": 56,
|
||||
"min": 55,
|
||||
"isFlat": false
|
||||
},
|
||||
"angle": {
|
||||
"max": 44.7534852915723,
|
||||
"min": -42.79754323328191,
|
||||
"isFlat": false
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -15,10 +15,10 @@
|
|||
"use_init": false,
|
||||
"strength": 0.8,
|
||||
"strength_0_no_init": true,
|
||||
"init_image": "https://deforum.github.io/a1/I1.png",
|
||||
"use_mask": true,
|
||||
"init_image": "None",
|
||||
"use_mask": false,
|
||||
"use_alpha_as_mask": false,
|
||||
"mask_file": "https://deforum.github.io/a1/M1.jpg",
|
||||
"mask_file": "",
|
||||
"invert_mask": false,
|
||||
"mask_contrast_adjust": 1.0,
|
||||
"mask_brightness_adjust": 1.0,
|
||||
|
|
@ -112,13 +112,13 @@
|
|||
"padding_mode": "reflection",
|
||||
"sampling_mode": "bicubic",
|
||||
"save_depth_maps": false,
|
||||
"video_init_path": "https://deforum.github.io/a1/V1.mp4",
|
||||
"video_init_path": "",
|
||||
"extract_nth_frame": 1,
|
||||
"extract_from_frame": 0,
|
||||
"extract_to_frame": -1,
|
||||
"overwrite_extracted_frames": false,
|
||||
"use_mask_video": false,
|
||||
"video_mask_path": "https://deforum.github.io/a1/VM1.mp4",
|
||||
"video_mask_path": "",
|
||||
"hybrid_comp_alpha_schedule": "0:(0.5)",
|
||||
"hybrid_comp_mask_blend_alpha_schedule": "0:(0.5)",
|
||||
"hybrid_comp_mask_contrast_schedule": "0:(1)",
|
||||
|
|
@ -250,6 +250,6 @@
|
|||
"frame_interpolation_x_amount": 3,
|
||||
"frame_interpolation_slow_mo_enabled": false,
|
||||
"frame_interpolation_slow_mo_amount": 2,
|
||||
"frame_interpolation_keep_imgs": true,
|
||||
"frame_interpolation_use_upscaled": true
|
||||
"frame_interpolation_keep_imgs": false,
|
||||
"frame_interpolation_use_upscaled": false
|
||||
}
|
||||
|
|
@ -0,0 +1,43 @@
|
|||
from tenacity import retry, stop_after_delay, wait_fixed
|
||||
from pydantic_requests import PydanticSession
|
||||
from scripts.deforum_api_models import DeforumJobStatus, DeforumJobStatusCategory, DeforumJobPhase
|
||||
|
||||
SERVER_BASE_URL = "http://localhost:7860"
|
||||
API_ROOT = "/deforum_api"
|
||||
API_BASE_URL = SERVER_BASE_URL + API_ROOT
|
||||
|
||||
@retry(wait=wait_fixed(2), stop=stop_after_delay(600))
|
||||
def wait_for_job_to_complete(id : str):
|
||||
with PydanticSession(
|
||||
{200: DeforumJobStatus}, headers={"accept": "application/json"}
|
||||
) as session:
|
||||
response = session.get(API_BASE_URL+"/jobs/"+id)
|
||||
response.raise_for_status()
|
||||
jobStatus : DeforumJobStatus = response.model
|
||||
print(f"Waiting for job {id}: status={jobStatus.status}; phase={jobStatus.phase}; execution_time:{jobStatus.execution_time}s")
|
||||
assert jobStatus.status != DeforumJobStatusCategory.ACCEPTED
|
||||
return jobStatus
|
||||
|
||||
@retry(wait=wait_fixed(1), stop=stop_after_delay(60))
|
||||
def wait_for_job_to_enter_phase(id : str, phase : DeforumJobPhase):
|
||||
with PydanticSession(
|
||||
{200: DeforumJobStatus}, headers={"accept": "application/json"}
|
||||
) as session:
|
||||
response = session.get(API_BASE_URL+"/jobs/"+id)
|
||||
response.raise_for_status()
|
||||
jobStatus : DeforumJobStatus = response.model
|
||||
print(f"Waiting for job {id} to enter phase {phase}. Currently: status={jobStatus.status}; phase={jobStatus.phase}; execution_time:{jobStatus.execution_time}s")
|
||||
assert jobStatus.phase != phase
|
||||
return jobStatus
|
||||
|
||||
@retry(wait=wait_fixed(1), stop=stop_after_delay(60))
|
||||
def wait_for_job_to_enter_status(id : str, status : DeforumJobStatusCategory):
|
||||
with PydanticSession(
|
||||
{200: DeforumJobStatus}, headers={"accept": "application/json"}
|
||||
) as session:
|
||||
response = session.get(API_BASE_URL+"/jobs/"+id)
|
||||
response.raise_for_status()
|
||||
jobStatus : DeforumJobStatus = response.model
|
||||
print(f"Waiting for job {id} to enter status {status}. Currently: status={jobStatus.status}; phase={jobStatus.phase}; execution_time:{jobStatus.execution_time}s")
|
||||
assert jobStatus.status == status
|
||||
return jobStatus
|
||||
Loading…
Reference in New Issue