mirror of
https://github.com/openvinotoolkit/stable-diffusion-webui.git
synced 2024-12-14 14:45:06 +03:00
Option to not save incomplete images
This commit is contained in:
parent
f879cac1e7
commit
1d7dcdb6c3
@ -103,6 +103,10 @@ def txt2img_image_conditioning(sd_model, x, width, height):
|
||||
return x.new_zeros(x.shape[0], 5, 1, 1, dtype=x.dtype, device=x.device)
|
||||
|
||||
|
||||
def save_images_if_interrupted():
|
||||
return not (opts.dont_save_interrupted_images and (state.interrupted or state.skipped))
|
||||
|
||||
|
||||
class StableDiffusionProcessing:
|
||||
"""
|
||||
The first set of paramaters: sd_models -> do_not_reload_embeddings represent the minimum required to create a StableDiffusionProcessing
|
||||
@ -821,6 +825,8 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
|
||||
def infotext(index=0, use_main_prompt=False):
|
||||
return create_infotext(p, p.prompts, p.seeds, p.subseeds, use_main_prompt=use_main_prompt, index=index, all_negative_prompts=p.negative_prompts)
|
||||
|
||||
save_images_if_interrupt = save_images_if_interrupted()
|
||||
|
||||
for i, x_sample in enumerate(x_samples_ddim):
|
||||
p.batch_index = i
|
||||
|
||||
@ -828,7 +834,7 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
|
||||
x_sample = x_sample.astype(np.uint8)
|
||||
|
||||
if p.restore_faces:
|
||||
if opts.save and not p.do_not_save_samples and opts.save_images_before_face_restoration:
|
||||
if opts.save and not p.do_not_save_samples and opts.save_images_before_face_restoration and save_images_if_interrupt:
|
||||
images.save_image(Image.fromarray(x_sample), p.outpath_samples, "", p.seeds[i], p.prompts[i], opts.samples_format, info=infotext(i), p=p, suffix="-before-face-restoration")
|
||||
|
||||
devices.torch_gc()
|
||||
@ -842,16 +848,15 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
|
||||
pp = scripts.PostprocessImageArgs(image)
|
||||
p.scripts.postprocess_image(p, pp)
|
||||
image = pp.image
|
||||
|
||||
if p.color_corrections is not None and i < len(p.color_corrections):
|
||||
if opts.save and not p.do_not_save_samples and opts.save_images_before_color_correction:
|
||||
if opts.save and not p.do_not_save_samples and opts.save_images_before_color_correction and save_images_if_interrupt:
|
||||
image_without_cc = apply_overlay(image, p.paste_to, i, p.overlay_images)
|
||||
images.save_image(image_without_cc, p.outpath_samples, "", p.seeds[i], p.prompts[i], opts.samples_format, info=infotext(i), p=p, suffix="-before-color-correction")
|
||||
image = apply_color_correction(p.color_corrections[i], image)
|
||||
|
||||
image = apply_overlay(image, p.paste_to, i, p.overlay_images)
|
||||
|
||||
if opts.samples_save and not p.do_not_save_samples:
|
||||
if opts.samples_save and not p.do_not_save_samples and save_images_if_interrupt:
|
||||
images.save_image(image, p.outpath_samples, "", p.seeds[i], p.prompts[i], opts.samples_format, info=infotext(i), p=p)
|
||||
|
||||
text = infotext(i)
|
||||
@ -859,8 +864,7 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
|
||||
if opts.enable_pnginfo:
|
||||
image.info["parameters"] = text
|
||||
output_images.append(image)
|
||||
|
||||
if hasattr(p, 'mask_for_overlay') and p.mask_for_overlay and any([opts.save_mask, opts.save_mask_composite, opts.return_mask, opts.return_mask_composite]):
|
||||
if hasattr(p, 'mask_for_overlay') and p.mask_for_overlay and any([opts.save_mask, opts.save_mask_composite, opts.return_mask, opts.return_mask_composite]) and save_images_if_interrupt:
|
||||
image_mask = p.mask_for_overlay.convert('RGB')
|
||||
image_mask_composite = Image.composite(image.convert('RGBA').convert('RGBa'), Image.new('RGBa', image.size), images.resize_image(2, p.mask_for_overlay, image.width, image.height).convert('L')).convert('RGBA')
|
||||
|
||||
@ -896,7 +900,6 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
|
||||
grid.info["parameters"] = text
|
||||
output_images.insert(0, grid)
|
||||
index_of_first_image = 1
|
||||
|
||||
if opts.grid_save:
|
||||
images.save_image(grid, p.outpath_grids, "grid", p.all_seeds[0], p.all_prompts[0], opts.grid_format, info=infotext(use_main_prompt=True), short_filename=not opts.grid_extended_filename, p=p, grid=True)
|
||||
|
||||
@ -1091,7 +1094,7 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
|
||||
def save_intermediate(image, index):
|
||||
"""saves image before applying hires fix, if enabled in options; takes as an argument either an image or batch with latent space images"""
|
||||
|
||||
if not opts.save or self.do_not_save_samples or not opts.save_images_before_highres_fix:
|
||||
if not opts.save or self.do_not_save_samples or not opts.save_images_before_highres_fix or not save_images_if_interrupted():
|
||||
return
|
||||
|
||||
if not isinstance(image, Image.Image):
|
||||
|
@ -356,6 +356,7 @@ options_templates.update(options_section(('saving-images', "Saving images/grids"
|
||||
"temp_dir": OptionInfo("", "Directory for temporary images; leave empty for default"),
|
||||
"clean_temp_dir_at_start": OptionInfo(False, "Cleanup non-default temporary directory when starting webui"),
|
||||
|
||||
"dont_save_interrupted_images": OptionInfo(False, "Don't save incomplete images").info("Don't save images that has been interrupted in mid-generation, they will still show up in webui output."),
|
||||
}))
|
||||
|
||||
options_templates.update(options_section(('saving-paths', "Paths for saving"), {
|
||||
|
Loading…
Reference in New Issue
Block a user