Mirrors
/
stable-diffusion-webui
mirror of https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

attempt 2

This commit is contained in:
AUTOMATIC1111 2023-07-26 07:04:07 +03:00
parent 13e371af73
commit 7c22bbd3ad
1 changed files with 16 additions and 12 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

28
modules/processing.py
View File

@ -621,12 +621,12 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iter
"Sampler": p.sampler_name,
"CFG scale": p.cfg_scale,
"Image CFG scale": getattr(p, 'image_cfg_scale', None),
"Seed": all_seeds[index],
"Seed": p.all_seeds[0] if use_main_prompt else 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 else shared.sd_model.sd_checkpoint_info.name_for_extra),
"Variation seed": (None if p.subseed_strength == 0 else all_subseeds[index]),
"Variation seed": (None if p.subseed_strength == 0 else (p.all_subseeds[0] if use_main_prompt 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),
@ -807,20 +807,24 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
if p.scripts is not None:
p.scripts.postprocess_batch(p, x_samples_ddim, batch_number=n)
batch_params = scripts.PostprocessBatchListArgs(
list(x_samples_ddim),
p.all_prompts[n * p.batch_size:(n + 1) * p.batch_size],
p.all_negative_prompts[n * p.batch_size:(n + 1) * p.batch_size],
p.seeds,
p.subseeds,
)
batch_params = scripts.PostprocessBatchListArgs(
list(x_samples_ddim),
p.all_prompts[n * p.batch_size:(n + 1) * p.batch_size],
p.all_negative_prompts[n * p.batch_size:(n + 1) * p.batch_size],
p.seeds,
p.subseeds,
)
if p.scripts is not None:
p.scripts.postprocess_batch_list(p, batch_params, batch_number=n)
x_samples_ddim = batch_params.images
p.prompts = batch_params.prompts
p.negative_prompts = batch_params.negative_prompts
p.seeds = batch_params.seeds
p.subseeds = batch_params.subseeds
def infotext(index=0, use_main_prompt=False):
return create_infotext(p, batch_params.prompts, batch_params.seeds, batch_params.subseeds, use_main_prompt=use_main_prompt, index=index, all_negative_prompts=batch_params.negative_prompts)
return create_infotext(p, p.prompts, p.seeds, p.subseeds, use_main_prompt=use_main_prompt, index=index, all_negative_prompts=p.negative_prompts)
for i, x_sample in enumerate(x_samples_ddim):
p.batch_index = i
@ -910,7 +914,7 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
p,
images_list=output_images,
seed=p.all_seeds[0],
info=infotext(),
info=infotexts[0],
comments="".join(f"{comment}\n" for comment in comments),
subseed=p.all_subseeds[0],
index_of_first_image=index_of_first_image,