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stable-diffusion-webui-eyemask
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Merge pull request #12 from ilian6806/develop 

samples_save option check added
pull/14/head^2
Ilian Iliev 2023-05-22 08:57:14 +02:00 committed by GitHub
parent 7517400850 f4b61492fb
commit 0e573c5c05
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GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 40 additions and 20 deletions
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30
scripts/eyemask/script.py
View File

@ -209,22 +209,32 @@ class EyeMasksCore():
print(e)
save_prompt = orig_image_info
updated_info = self.update_info(initial_info, em_params)
output_images.append(processed.images[0])
p.all_seeds.append(start_seed)
p.all_prompts.append(save_prompt)
p.infotexts.append(updated_info)
if em_include_mask and (n == iterations - 1 or (is_txt2img and em_redraw_original)):
output_images.append(mask)
p.all_seeds.append(start_seed)
p.all_prompts.append(mask_prompt)
p.infotexts.append(updated_info)
shared.state.current_image = processed.images[0]
images.save_image(
processed.images[0],
p.outpath_samples,
"",
start_seed,
save_prompt,
shared.opts.samples_format,
info=self.update_info(initial_info, em_params),
p=p
)
if shared.opts.samples_save:
images.save_image(
processed.images[0],
p.outpath_samples,
"",
start_seed,
save_prompt,
shared.opts.samples_format,
info=updated_info,
p=p
)
devices.torch_gc()
gc.collect()

30
scripts/eyemask/script_embedded.py
View File

@ -190,22 +190,32 @@ class EyeMasksEmbeddedCore(EyeMasksCore):
print(e)
save_prompt = orig_image_info
updated_info = self.update_info(initial_info, em_params)
processed.images.append(processed_em.images[0])
processed.all_seeds.append(start_seed)
processed.all_prompts.append(save_prompt)
processed.infotexts.append(updated_info)
if em_include_mask and (n == iterations - 1):
processed.images.append(mask)
processed.all_seeds.append(start_seed)
processed.all_prompts.append(mask_prompt)
processed.infotexts.append(updated_info)
shared.state.current_image = processed_em.images[0]
images.save_image(
processed_em.images[0],
p_em.outpath_samples,
"",
start_seed,
save_prompt,
shared.opts.samples_format,
info=self.update_info(initial_info, em_params),
p=p_em
)
if shared.opts.samples_save:
images.save_image(
processed_em.images[0],
p_em.outpath_samples,
"",
start_seed,
save_prompt,
shared.opts.samples_format,
info=updated_info,
p=p_em
)
devices.torch_gc()
gc.collect()