Add broader set of tests and API improvements, including job cancellation

.gitignore

@@ -14,4 +14,5 @@ scripts/deforum_helpers/navigation.py
 #test output
 htmlcov
 tests/results.xml
-.coverage*
+.coverage*
+serverlog.txt

requirements-dev.txt

@@ -3,3 +3,4 @@ syrupy
 pytest
 tenacity
 pydantic_requests
+moviepy

scripts/deforum_api.py

@@ -1,13 +1,19 @@
+import os
 import atexit
 import json
 import random
 import tempfile
 import traceback
+import logging
+import threading
+import debugpy
 from concurrent.futures import ThreadPoolExecutor
 from dataclasses import dataclass, replace
 from datetime import datetime
 from typing import Any, Dict, List
 from deforum_api_models import Batch, DeforumJobErrorType, DeforumJobStatusCategory, DeforumJobPhase, DeforumJobStatus
+from contextlib import contextmanager
+
 
 import gradio as gr
 from deforum_helpers.args import (DeforumAnimArgs, DeforumArgs,
@@ -15,9 +21,17 @@ from deforum_helpers.args import (DeforumAnimArgs, DeforumArgs,
                                   RootArgs, get_component_names)
 from fastapi import FastAPI, Response, status
 
-from modules.shared import cmd_opts, opts
+from modules.shared import cmd_opts, opts, state
 
 
+log = logging.getLogger(__name__)
+log_level = os.environ.get("DEFORUM_API_LOG_LEVEL") or os.environ.get("SD_WEBUI_LOG_LEVEL") or "INFO"
+log.setLevel(log_level)
+logging.basicConfig(
+    format='%(asctime)s %(levelname)s [%(name)s] %(message)s',
+    datefmt='%Y-%m-%d %H:%M:%S',
+)
+
 def make_ids(job_count: int):
     batch_id = f"batch({random.randint(0, 1e9)})"
     job_ids = [f"{batch_id}-{i}" for i in range(job_count)]
@@ -33,37 +47,48 @@ def get_default_value(name:str):
     else:
         return None
 
-def run_deforum_batch(batch_id : str, deforum_settings : List[Any] ): 
 
-    print("started run_deforum_batch")
+def run_deforum_batch(batch_id: str, job_ids: [str], deforum_settings_files: List[Any], opts_overrides: Dict[str, Any] = None):
+    log.info(f"Starting batch {batch_id} in thread {threading.get_ident()}.")
+    try:
+        with A1111OptionsOverrider(opts_overrides):
+            # Fill deforum args with default values.
+            # We are overriding everything with the batch files, but some values are eagerly validated, so must appear valid.
+            component_names = get_component_names()
+            prefixed_gradio_args = 2
+            expected_arg_count = prefixed_gradio_args + len(component_names)
+            run_deforum_args = [None] * expected_arg_count
+            for idx, name in enumerate(component_names):
+                run_deforum_args[prefixed_gradio_args + idx] = get_default_value(name)
 
-    # Fill args with default values.
+            # For some values, defaults don't pass validation...
-    # We are overriding everything with the batch files, but some values are eagerly validated, so must appear valid.
+            run_deforum_args[prefixed_gradio_args + component_names.index('animation_prompts')] = '{"0":"dummy value"}'
-    component_names = get_component_names()
+            run_deforum_args[prefixed_gradio_args + component_names.index('animation_prompts_negative')] = ''
-    prefixed_gradio_args = 2
-    expected_arg_count = prefixed_gradio_args + len(component_names)
-    run_deforum_args = [None] * expected_arg_count
-    for idx, name in enumerate(component_names):
-        run_deforum_args[prefixed_gradio_args + idx] = get_default_value(name)
 
-    # For some values, defaults don't pass validation...
+            # Arg 0 is a UID for the batch
-    run_deforum_args[prefixed_gradio_args + component_names.index('animation_prompts')] = '{"0":"dummy value"}'
+            run_deforum_args[0] = batch_id
-    run_deforum_args[prefixed_gradio_args + component_names.index('animation_prompts_negative')] = ''
 
-    # Arg 0 is a UID for the batch
+            # Setup batch override
-    run_deforum_args[0] = batch_id
+            run_deforum_args[prefixed_gradio_args + component_names.index('override_settings_with_file')] = True
+            run_deforum_args[prefixed_gradio_args + component_names.index('custom_settings_file')] = deforum_settings_files
 
-    # Setup batch override
+            # Cleanup old state from previously cancelled jobs
-    run_deforum_args[prefixed_gradio_args + component_names.index('override_settings_with_file')] = True
+            # WARNING: not thread safe because state is global. If we ever run multiple batches in parallel, this will need to be reworked.
-    run_deforum_args[prefixed_gradio_args + component_names.index('custom_settings_file')] = deforum_settings
+            state.skipped = False
+            state.interrupted = False
 
-    # Invoke deforum with appropriate args
+            # Invoke deforum with appropriate args
-    from deforum_helpers.run_deforum import run_deforum 
+            from deforum_helpers.run_deforum import run_deforum 
-    run_deforum(*run_deforum_args)
+            run_deforum(*run_deforum_args)
+
+    except Exception as e:
+        log.error(f"Batch {batch_id} failed: {e}")
+        traceback.print_exc()
+        for job_id in job_ids:
+            # Mark all jobs in this batch as failed
+            JobStatusTracker().fail_job(job_id, 'TERMINAL', {e})
 
 
-
-#
 # API to allow a batch of jobs to be submitted to the deforum pipeline.
 # A batch is settings object OR a list of settings objects. 
 # A settings object is the JSON structure you can find in your saved settings.txt files.
@@ -87,6 +112,7 @@ def deforum_api(_: gr.Blocks, app: FastAPI):
 
     apiState = ApiState()
 
+    # Submit a new batch
     @app.post("/deforum_api/batches")
     async def run_batch(batch: Batch, response: Response):
 
@@ -97,6 +123,7 @@ def deforum_api(_: gr.Blocks, app: FastAPI):
             return {"message": "No settings files provided. Please provide an element 'deforum_settings' of type list in the request JSON payload."}
         
         if not isinstance(deforum_settings_data, list):
+            # Allow input deforum_settings to be top-level object as well as single object list
             deforum_settings_data = [deforum_settings_data]
 
         deforum_settings_tempfiles = []
@@ -110,38 +137,94 @@ def deforum_api(_: gr.Blocks, app: FastAPI):
         [batch_id, job_ids] = make_ids(job_count)
         apiState.submit_job(batch_id, job_ids, deforum_settings_tempfiles, batch.options_overrides)
 
-        for job_id in job_ids:
+        for idx, job_id in enumerate(job_ids):
-            JobStatusTracker().accept_job(batch_id=batch_id, job_id=job_id)
+            JobStatusTracker().accept_job(batch_id=batch_id, job_id=job_id, deforum_settings=deforum_settings_data[idx], options_overrides=batch.options_overrides)
 
         response.status_code = status.HTTP_202_ACCEPTED
         return {"message": "Job(s) accepted", "batch_id": batch_id, "job_ids": job_ids }
 
+    # List all batches and theit job ids
+    @app.get("/deforum_api/batches")
+    async def list_batches(id: str):
+        return JobStatusTracker().batches
 
+    # Show the details of all jobs in a batch
     @app.get("/deforum_api/batches/{id}")
-    async def get_batch(id: str):
+    async def get_batch(id: str, response: Response):
         jobsForBatch = JobStatusTracker().batches[id]
+        if not jobsForBatch:
+            response.status_code = status.HTTP_404_NOT_FOUND
+            return {"id": id, "status": "NOT FOUND"}
         return [JobStatusTracker().get(job_id) for job_id in jobsForBatch]
 
-    ## TODO ##
+    # Cancel all jobs in a batch
     @app.delete("/deforum_api/batches/{id}")
-    async def stop_batch(id: str, response: Response):
+    async def cancel_batch(id: str, response: Response):
-        response.status_code = status.HTTP_501_NOT_IMPLEMENTED
+        jobsForBatch = JobStatusTracker().batches[id]
-        return {"id": id, "status": "NOT IMPLEMENTED"}
+        cancelled_jobs = []
+        if not jobsForBatch:
+            response.status_code = status.HTTP_404_NOT_FOUND
+            return {"id": id, "status": "NOT FOUND"}
+        for job_id in jobsForBatch:
+            try:
+                cancelled = _cancel_job(job_id)
+                if cancelled:
+                    cancelled_jobs.append(job_id)
+            except:
+                log.warning(f"Failed to cancel job {job_id}")
+       
+        return {"ids": cancelled_jobs, "message:": f"{len(cancelled_jobs)} job(s) cancelled." }
 
+    # Show details of all jobs across al batches
     @app.get("/deforum_api/jobs")
     async def list_jobs():
         return JobStatusTracker().statuses
 
+    # Show details of a single job
     @app.get("/deforum_api/jobs/{id}")
-    async def get_job(id: str):
+    async def get_job(id: str, response: Response):
-        return JobStatusTracker().get(id)
+        jobStatus = JobStatusTracker().get(id)
+        if not jobStatus:
+            response.status_code = status.HTTP_404_NOT_FOUND
+            return {"id": id, "status": "NOT FOUND"}
+        return jobStatus
 
-    ## TODO ##
+    # Cancel a single job
     @app.delete("/deforum_api/jobs/{id}")
-    async def stop_job(id: str, response: Response):
+    async def cancel_job(id: str, response: Response):
-        response.status_code = status.HTTP_501_NOT_IMPLEMENTED
+        debugpy.breakpoint()
-        return {"id": id, "status": "NOT IMPLEMENTED"}
+        try: 
+            if _cancel_job(id):
+                return {"id": id, "message": "Job cancelled."}
+            else:
+                response.status_code = status.HTTP_400_BAD_REQUEST
+                return {"id": id, "message": f"Job with ID {id} not in a cancellable state. Has it already finished?"}
+        except FileNotFoundError as e:
+            response.status_code = status.HTTP_404_NOT_FOUND
+            return {"id": id, "message": f"Job with ID {id} not found."}
 
+    # Shared logic for job cancellation
+    def _cancel_job(job_id:str):
+        jobStatus = JobStatusTracker().get(job_id)
+        if not jobStatus:
+            raise FileNotFoundError(f"Job {job_id} not found.")
+        
+        if jobStatus.status != DeforumJobStatusCategory.ACCEPTED:
+             # Ignore jobs in completed state (error or success)
+            return False
+
+        if job_id in ApiState().submitted_jobs:
+            # Remove job from queue
+            ApiState().submitted_jobs[job_id].cancel()
+        if jobStatus.phase != DeforumJobPhase.QUEUED and jobStatus.phase != DeforumJobPhase.DONE:
+            # Job must be actively running - interrupt it.
+            # WARNING:
+            #   - Possible race condition: if job_id just finished after the check and another started, we'll interrupt the wrong job.
+            #   - Not thread safe because State object is global. Will break with concurrent jobs.
+            state.interrupt()
+        JobStatusTracker().cancel_job(job_id, "Cancelled due to user request.")
+        return True
+    
 class Singleton(type):
     _instances = {}
     def __call__(cls, *args, **kwargs):
@@ -151,50 +234,56 @@ class Singleton(type):
 
 # Maintains persistent state required by API, e.g. thread pook, list of submitted jobs.
 class ApiState(metaclass=Singleton):
-    deforum_api_executor = ThreadPoolExecutor(max_workers=5)
+    
+    ## Locking concurrency to 1. Concurrent generation does seem to work, but it's not clear if it's safe.
+    ## TODO: more experimentation required.
+    deforum_api_executor = ThreadPoolExecutor(max_workers=1)
     submitted_jobs : Dict[str, Any] = {}
 
     @staticmethod
     def cleanup():
         ApiState().deforum_api_executor.shutdown(wait=False)    
 
-    def submit_job(self, batch_id: str, job_ids: [str], deforum_settings: List[Any], opts_overrides: Dict[str, Any] ):
+    def submit_job(self, batch_id: str, job_ids: [str], deforum_settings: List[Any], opts_overrides: Dict[str, Any]):
-        def task():
+        log.debug(f"Submitting batch {batch_id} to threadpool.")
-            print("started task")
+        future = self.deforum_api_executor.submit(lambda: run_deforum_batch(batch_id, job_ids, deforum_settings, opts_overrides))
-            try:
-                if opts_overrides is not None and len(opts_overrides)>1:
-                    original_opts = {k: opts.data[k] for k in opts_overrides.keys() if k in opts.data}
-                    print(f"Captured options to override: {original_opts}")                
-                    print(f"Overriding with: {opts_overrides}")
-                    for k, v in opts_overrides.items():
-                        setattr(opts, k, v)                
-                    run_deforum_batch(batch_id, deforum_settings)
-            except Exception as e:
-                print(f"Batch {batch_id} failed: {e}")
-                traceback.print_exc()
-                # Mark all jobs in this batch as failed
-                for job_id in job_ids:
-                    JobStatusTracker().fail_job(job_id, 'TERMINAL', {e})
-            finally:
-                if (original_opts is not None):
-                    print(f"Restoring options")
-                    for k, v in original_opts.items():
-                        setattr(opts, k, v)
-
-
-        print("submitting task")
-        future = self.deforum_api_executor.submit(task)
         self.submitted_jobs[batch_id] = future
 
 atexit.register(ApiState.cleanup)
 
+
+class A1111OptionsOverrider(object):
+    def __init__(self, opts_overrides: Dict[str, Any]):
+        self.opts_overrides = opts_overrides
+
+    def __enter__(self):
+        if self.opts_overrides is not None and len(self.opts_overrides)>1:
+            self.original_opts = {k: opts.data[k] for k in self.opts_overrides.keys() if k in opts.data}
+            log.debug(f"Captured options to override: {self.original_opts}")                
+            log.info(f"Setting options: {self.opts_overrides}")
+            for k, v in self.opts_overrides.items():
+                setattr(opts, k, v)
+        else:
+            self.original_opts = None
+        return self
+ 
+    def __exit__(self, exception_type, exception_value, traceback):
+        if (exception_type is not None):
+            log.warning(f"Error during batch execution: {exception_type} - {exception_value}")
+            log.debug(f"{traceback}")
+        if (self.original_opts is not None):
+            log.info(f"Restoring options: {self.original_opts}")
+            for k, v in self.original_opts.items():
+                setattr(opts, k, v)
+
+
 # Maintains state that tracks status of submitted jobs, 
 # so that clients can query job status.
 class JobStatusTracker(metaclass=Singleton):
     statuses: Dict[str, DeforumJobStatus] = {}
     batches: Dict[str, List[str]] = {}
 
-    def accept_job(self, batch_id : str, job_id: str):
+    def accept_job(self, batch_id : str, job_id: str, deforum_settings : List[Dict[str, Any]] , options_overrides : Dict[str, Any]):
         if batch_id in self.batches:
             self.batches[batch_id].append(job_id)
         else:
@@ -214,7 +303,9 @@ class JobStatusTracker(metaclass=Singleton):
             updates=0,
             message=None,
             outdir=None,
-            timestring=None
+            timestring=None,
+            deforum_settings=deforum_settings,
+            options_overrides=options_overrides,
         )
 
     def update_phase(self, job_id: str, phase: DeforumJobPhase, progress: float = 0):
@@ -279,15 +370,31 @@ class JobStatusTracker(metaclass=Singleton):
             )
             self.statuses[job_id] = new_status
 
+    def cancel_job(self, job_id: str, message: str):
+        if job_id in self.statuses:
+            current_status = self.statuses[job_id]
+            now = datetime.now().timestamp()
+            new_status = replace(
+                current_status,
+                status=DeforumJobStatusCategory.CANCELLED,
+                message=message,
+                last_updated=now,
+                execution_time=now-current_status.started_at,
+                update_interval_time=now-current_status.last_updated,
+                updates=current_status.updates+1
+            )
+            self.statuses[job_id] = new_status
+
+
     def get(self, job_id:str):
-        return self.statuses[job_id]
+        return self.statuses[job_id] if job_id in self.statuses else None
 
 def deforum_init_batch(_: gr.Blocks, app: FastAPI):
     settings_files = [open(filename, 'r') for filename in cmd_opts.deforum_run_now.split(",")]
     [batch_id, job_ids] = make_ids(len(settings_files))
-    print(f"Starting batch with job(s) {job_ids}...")
+    log.info(f"Starting init batch {batch_id} with job(s) {job_ids}...")
 
-    run_deforum_batch(batch_id, settings_files)
+    run_deforum_batch(batch_id, job_ids, settings_files, None)
 
     if cmd_opts.deforum_terminate_after_run_now:
         import os

scripts/deforum_api_models.py

@@ -11,6 +11,7 @@ class DeforumJobStatusCategory(str, Enum):
     ACCEPTED = "ACCEPTED"
     SUCCEEDED = "SUCCEEDED"
     FAILED = "FAILED"
+    CANCELLED = "CANCELLED"
 
 class DeforumJobPhase(str, Enum):
     QUEUED = "QUEUED"
@@ -38,4 +39,6 @@ class DeforumJobStatus(BaseModel):
     updates: int                    # number of status updates so far
     message: Optional[str]
     outdir: Optional[str]
-    timestring: Optional[str]    
+    timestring: Optional[str]
+    deforum_settings : Optional[List[Dict[str, Any]]]
+    options_overrides : Optional[Dict[str, Any]]

scripts/deforum_helpers/run_deforum.py

@@ -189,7 +189,7 @@ def run_deforum(*args):
             cn_inputframes_list = [os.path.join(args.outdir, f'controlnet_{i}_inputframes') for i in range(1, num_of_models + 1)]
             handle_cn_frames_deletion(cn_inputframes_list)
 
-        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

scripts/deforum_helpers/video_audio_utilities.py

@@ -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)

tests/__snapshots__/deforum_postprocess_test.ambr

@@ -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
+  
+  
+  '''
+# ---

tests/__snapshots__/deforum_test.ambr

@@ -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!
+  
+  
   '''
 # ---

tests/conftest.py

@@ -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"],
+        # Kick off server subprocess
-            stdout=subprocess.PIPE,
+        script_directory = os.path.dirname(__file__)
-            stderr=subprocess.PIPE)
+        a1111_directory = Path(script_directory).parent.parent.parent  # sd-webui/extensions/deforum/tests/ -> sd-webui
-        wait_for_service('http://localhost:7680')
+        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...")

tests/deforum_postprocess_test.py

@@ -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)"    

tests/deforum_test.py

@@ -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, DeforumJobPhase
-from scripts.deforum_api_models import DeforumJobStatus, DeforumJobStatusCategory
-from pydantic_requests import PydanticSession
 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={
+        response = requests.post(API_BASE_URL+"/batches", json={"deforum_settings":[data]})
-            "deforum_settings":[data],
-            "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]
+        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}"
+        assert jobStatus.status == DeforumJobStatusCategory.CANCELLED, f"Job {job_id} did not cancel: {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
 
 
+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"
+

tests/testdata/parseq.json

@@ -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
+        }
+    }
+}

tests/testdata/simple.input_settings.txt

@@ -15,10 +15,10 @@
     "use_init": false,
     "strength": 0.8,
     "strength_0_no_init": true,
-    "init_image": "https://deforum.github.io/a1/I1.png",
+    "init_image": "None",
-    "use_mask": true,
+    "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_keep_imgs": false,
-    "frame_interpolation_use_upscaled": true
+    "frame_interpolation_use_upscaled": false
 }

tests/utils.py

@@ -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