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https://github.com/openvinotoolkit/stable-diffusion-webui.git
synced 2024-12-15 07:03:06 +03:00
Fix metadata contents
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aeacbac218
commit
8711c2fe01
@ -148,10 +148,7 @@ def save_files(js_data, images, do_make_zip, index):
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is_grid = image_index < p.index_of_first_image
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i = 0 if is_grid else (image_index - p.index_of_first_image)
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seed = p.all_seeds[i] if len(p.all_seeds) > 1 else p.seed
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prompt = p.all_prompts[i] if len(p.all_prompts) > 1 else p.prompt
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info = p.infotexts[image_index] if len(p.infotexts) > 1 else p.infotexts[0]
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fullfn, txt_fullfn = save_image(image, path, "", seed=seed, prompt=prompt, extension=extension, info=info, grid=is_grid, p=p, save_to_dirs=save_to_dirs)
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fullfn, txt_fullfn = save_image(image, path, "", seed=p.all_seeds[i], prompt=p.all_prompts[i], extension=extension, info=p.infotexts[image_index], grid=is_grid, p=p, save_to_dirs=save_to_dirs)
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filename = os.path.relpath(fullfn, path)
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filenames.append(filename)
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@ -176,13 +176,16 @@ axis_options = [
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def draw_xy_grid(p, xs, ys, x_labels, y_labels, cell, draw_legend, include_lone_images):
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res = []
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successful_images = []
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ver_texts = [[images.GridAnnotation(y)] for y in y_labels]
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hor_texts = [[images.GridAnnotation(x)] for x in x_labels]
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first_processed = None
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# Temporary list of all the images that are generated to be populated into the grid.
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# Will be filled with empty images for any individual step that fails to process properly
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image_cache = []
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processed_result = None
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cell_mode = "P"
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cell_size = (1,1)
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state.job_count = len(xs) * len(ys) * p.n_iter
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@ -190,26 +193,39 @@ def draw_xy_grid(p, xs, ys, x_labels, y_labels, cell, draw_legend, include_lone_
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for ix, x in enumerate(xs):
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state.job = f"{ix + iy * len(xs) + 1} out of {len(xs) * len(ys)}"
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processed = cell(x, y)
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if first_processed is None:
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first_processed = processed
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processed:Processed = cell(x, y)
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try:
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# this dereference will throw an exception if the image was not processed
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# (this happens in cases such as if the user stops the process from the UI)
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processed_image = processed.images[0]
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res.append(processed_image)
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successful_images.append(processed_image)
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except:
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res.append(Image.new(res[0].mode, res[0].size))
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grid = images.image_grid(res, rows=len(ys))
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if draw_legend:
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grid = images.draw_grid_annotations(grid, res[0].width, res[0].height, hor_texts, ver_texts)
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if processed_result is None:
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# Use our first valid processed result as a template container to hold our full results
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processed_result = copy(processed)
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cell_mode = processed_image.mode
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cell_size = processed_image.size
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processed_result.images = [Image.new(cell_mode, cell_size)]
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first_processed.images = [grid]
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image_cache.append(processed_image)
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if include_lone_images:
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first_processed.images += successful_images
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processed_result.images.append(processed_image)
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processed_result.all_prompts.append(processed.prompt)
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processed_result.all_seeds.append(processed.seed)
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processed_result.infotexts.append(processed.infotexts[0])
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except:
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image_cache.append(Image.new(cell_mode, cell_size))
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return first_processed
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if not processed_result:
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print("Unexpected error: draw_xy_grid failed to return even a single processed image")
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return Processed()
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grid = images.image_grid(image_cache, rows=len(ys))
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if draw_legend:
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grid = images.draw_grid_annotations(grid, cell_size[0], cell_size[1], hor_texts, ver_texts)
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processed_result.images[0] = grid
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return processed_result
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re_range = re.compile(r"\s*([+-]?\s*\d+)\s*-\s*([+-]?\s*\d+)(?:\s*\(([+-]\d+)\s*\))?\s*")
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