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https://github.com/openvinotoolkit/stable-diffusion-webui.git
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updating the displayed generation info when user clicks images in the gallery. feature request 4415
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@ -179,9 +179,17 @@ onUiUpdate(function(){
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img2img_textarea = gradioApp().querySelector("#img2img_prompt > label > textarea");
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img2img_textarea?.addEventListener("input", () => update_token_counter("img2img_token_button"));
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}
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if (!txt2img_gallery) {
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txt2img_gallery = gradioApp().querySelector('#txt2img_gallery')
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txt2img_gallery?.addEventListener('click', () => gradioApp().getElementById("txt2img_generation_info_button").click());
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}
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if (!img2img_gallery) {
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img2img_gallery = gradioApp().querySelector('#img2img_gallery')
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img2img_gallery?.addEventListener('click', () => gradioApp().getElementById("img2img_generation_info_button").click());
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}
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})
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let txt2img_textarea, img2img_textarea = undefined;
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let txt2img_textarea, img2img_textarea, txt2img_gallery, img2img_gallery = undefined;
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let wait_time = 800
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let token_timeout;
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@ -566,6 +566,17 @@ def apply_setting(key, value):
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return value
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def update_generation_info(args):
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generation_info, html_info, img_index = args
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try:
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generation_info = json.loads(generation_info)
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return plaintext_to_html(generation_info["infotexts"][img_index])
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except Exception:
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pass
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# if the json parse or anything else fails, just return the old html_info
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return html_info
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def create_refresh_button(refresh_component, refresh_method, refreshed_args, elem_id):
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def refresh():
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refresh_method()
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@ -638,6 +649,15 @@ Requested path was: {f}
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with gr.Group():
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html_info = gr.HTML()
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generation_info = gr.Textbox(visible=False)
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if tabname == 'txt2img' or tabname == 'img2img':
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generation_info_button = gr.Button(visible=False, elem_id=f"{tabname}_generation_info_button")
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generation_info_button.click(
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fn=update_generation_info,
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_js="(x, y) => [x, y, selected_gallery_index()]",
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inputs=[generation_info, html_info],
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outputs=[html_info],
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preprocess=False
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)
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save.click(
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fn=wrap_gradio_call(save_files),
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@ -80,6 +80,8 @@ class Script(scripts.Script):
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grid = images.image_grid(processed.images, p.batch_size, rows=1 << ((len(prompt_matrix_parts) - 1) // 2))
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grid = images.draw_prompt_matrix(grid, p.width, p.height, prompt_matrix_parts)
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processed.images.insert(0, grid)
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processed.index_of_first_image = 1
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processed.infotexts.insert(0, processed.infotexts[0])
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if opts.grid_save:
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images.save_image(processed.images[0], p.outpath_grids, "prompt_matrix", prompt=original_prompt, seed=processed.seed, grid=True, p=p)
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@ -145,6 +145,8 @@ class Script(scripts.Script):
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state.job_count = job_count
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images = []
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all_prompts = []
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infotexts = []
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for n, args in enumerate(jobs):
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state.job = f"{state.job_no + 1} out of {state.job_count}"
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@ -157,5 +159,7 @@ class Script(scripts.Script):
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if checkbox_iterate:
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p.seed = p.seed + (p.batch_size * p.n_iter)
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all_prompts += proc.all_prompts
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infotexts += proc.infotexts
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return Processed(p, images, p.seed, "")
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return Processed(p, images, p.seed, "", all_prompts=all_prompts, infotexts=infotexts)
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