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Hypernetwork-MonkeyPatch-Extension
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fix bug with infotext 

now seed is unused in infotext
Fixes https://github.com/aria1th/Hypernetwork-MonkeyPatch-Extension/issues/41
beta-dadaptation
aria1th 2023-01-30 18:54:45 +09:00
parent 0428c6e47a
commit 980b25f1bb
1 changed files with 1 additions and 37 deletions
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38
patches/hypernetwork.py
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@ -7,6 +7,7 @@ import traceback
import torch
from torch.nn.init import normal_, xavier_uniform_, zeros_, xavier_normal_, kaiming_uniform_, kaiming_normal_
from modules.sd_samplers_kdiffusion import KDiffusionSampler
from modules.shared import opts
try:
from modules.hashes import sha256
@ -551,41 +552,6 @@ def apply_hypernetwork_strength(p, x, xs):
apply_strength(x)
def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iteration=0, position_in_batch=0):
index = position_in_batch + iteration * p.batch_size
clip_skip = getattr(p, 'clip_skip', opts.CLIP_stop_at_last_layers)
generation_params = {
"Steps": p.steps,
"Sampler": p.sampler_name,
"CFG scale": p.cfg_scale,
"Seed": all_seeds[index],
"Face restoration": (opts.face_restoration_model if p.restore_faces else None),
"Size": f"{p.width}x{p.height}",
"Model hash": getattr(p, 'sd_model_hash', None if not opts.add_model_hash_to_info or not shared.sd_model.sd_model_hash else shared.sd_model.sd_model_hash),
"Model": (None if not opts.add_model_name_to_info or not shared.sd_model.sd_checkpoint_info.model_name else shared.sd_model.sd_checkpoint_info.model_name.replace(',', '').replace(':', '')),
"Batch size": (None if p.batch_size < 2 else p.batch_size),
"Batch pos": (None if p.batch_size < 2 else position_in_batch),
"Variation seed": (None if p.subseed_strength == 0 else all_subseeds[index]),
"Variation seed strength": (None if p.subseed_strength == 0 else p.subseed_strength),
"Seed resize from": (None if p.seed_resize_from_w == 0 or p.seed_resize_from_h == 0 else f"{p.seed_resize_from_w}x{p.seed_resize_from_h}"),
"Denoising strength": getattr(p, 'denoising_strength', None),
"Conditional mask weight": getattr(p, "inpainting_mask_weight", shared.opts.inpainting_mask_weight) if p.is_using_inpainting_conditioning else None,
"Eta": (None if p.sampler is None or p.sampler.eta == p.sampler.default_eta else p.sampler.eta),
"Clip skip": None if clip_skip <= 1 else clip_skip,
"ENSD": None if opts.eta_noise_seed_delta == 0 else opts.eta_noise_seed_delta,
}
generation_params.update(p.extra_generation_params)
generation_params_text = ", ".join([k if k == v else f'{k}: {generation_parameters_copypaste.quote(v)}' for k, v in generation_params.items() if v is not None])
negative_prompt_text = "\nNegative prompt: " + p.all_negative_prompts[index] if p.all_negative_prompts[index] else ""
return f"{all_prompts[index]}{negative_prompt_text}\n{generation_params_text}".strip()
modules.hypernetworks.hypernetwork.list_hypernetworks = list_hypernetworks
modules.hypernetworks.hypernetwork.load_hypernetwork = load_hypernetwork
if hasattr(modules.hypernetworks.hypernetwork, 'apply_hypernetwork'):
@ -603,5 +569,3 @@ try:
except (ModuleNotFoundError, ImportError):
pass
# Fix calculating hash for multiple hns
processing.create_infotext = create_infotext