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| import gradio as gr | |
| from model import models | |
| from multit2i import (load_models, infer_fn, infer_rand_fn, save_gallery, | |
| change_model, warm_model, get_model_info_md, loaded_models, | |
| get_positive_prefix, get_positive_suffix, get_negative_prefix, get_negative_suffix, | |
| get_recom_prompt_type, set_recom_prompt_preset, get_tag_type, randomize_seed, translate_to_en) | |
| max_images = 6 | |
| MAX_SEED = 2**32-1 | |
| load_models(models) | |
| css = """ | |
| .model_info { text-align: center; } | |
| .output { width=112px; height=112px; max_width=112px; max_height=112px; !important; } | |
| .gallery { min_width=512px; min_height=512px; max_height=1024px; !important; } | |
| """ | |
| with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", fill_width=True, css=css) as demo: | |
| with gr.Tab("Image Generator"): | |
| with gr.Row(): | |
| with gr.Column(scale=10): | |
| with gr.Group(): | |
| prompt = gr.Text(label="Prompt", lines=2, max_lines=8, placeholder="1girl, solo, ...", show_copy_button=True) | |
| with gr.Accordion("Advanced options", open=False): | |
| neg_prompt = gr.Text(label="Negative Prompt", lines=1, max_lines=8, placeholder="") | |
| with gr.Row(): | |
| width = gr.Slider(label="Width", info="If 0, the default value is used.", maximum=1216, step=32, value=0) | |
| height = gr.Slider(label="Height", info="If 0, the default value is used.", maximum=1216, step=32, value=0) | |
| steps = gr.Slider(label="Number of inference steps", info="If 0, the default value is used.", maximum=100, step=1, value=0) | |
| with gr.Row(): | |
| cfg = gr.Slider(label="Guidance scale", info="If 0, the default value is used.", maximum=30.0, step=0.1, value=0) | |
| seed = gr.Slider(label="Seed", info="Randomize Seed if -1.", minimum=-1, maximum=MAX_SEED, step=1, value=-1) | |
| seed_rand = gr.Button("Randomize Seed π²", size="sm", variant="secondary") | |
| recom_prompt_preset = gr.Radio(label="Set Presets", choices=get_recom_prompt_type(), value="Common") | |
| with gr.Row(): | |
| positive_prefix = gr.CheckboxGroup(label="Use Positive Prefix", choices=get_positive_prefix(), value=[]) | |
| positive_suffix = gr.CheckboxGroup(label="Use Positive Suffix", choices=get_positive_suffix(), value=["Common"]) | |
| negative_prefix = gr.CheckboxGroup(label="Use Negative Prefix", choices=get_negative_prefix(), value=[]) | |
| negative_suffix = gr.CheckboxGroup(label="Use Negative Suffix", choices=get_negative_suffix(), value=["Common"]) | |
| with gr.Row(): | |
| image_num = gr.Slider(label="Number of images", minimum=1, maximum=max_images, value=1, step=1, interactive=True, scale=2) | |
| trans_prompt = gr.Button(value="Translate π", variant="secondary", size="sm", scale=2) | |
| clear_prompt = gr.Button(value="Clear ποΈ", variant="secondary", size="sm", scale=1) | |
| with gr.Row(): | |
| run_button = gr.Button("Generate Image", variant="primary", scale=6) | |
| random_button = gr.Button("Random Model π²", variant="secondary", scale=3) | |
| #stop_button = gr.Button('Stop', interactive=False, variant="stop", scale=1) | |
| with gr.Group(): | |
| model_name = gr.Dropdown(label="Select Model", choices=list(loaded_models.keys()), value=list(loaded_models.keys())[0], allow_custom_value=True) | |
| model_info = gr.Markdown(value=get_model_info_md(list(loaded_models.keys())[0]), elem_classes="model_info") | |
| with gr.Column(scale=10): | |
| with gr.Group(): | |
| with gr.Row(): | |
| output = [gr.Image(label='', elem_classes="output", type="filepath", format="png", | |
| show_download_button=True, show_share_button=False, show_label=False, | |
| interactive=False, min_width=80, visible=True, width=112, height=112) for _ in range(max_images)] | |
| with gr.Group(): | |
| results = gr.Gallery(label="Gallery", elem_classes="gallery", interactive=False, show_download_button=True, show_share_button=False, | |
| container=True, format="png", object_fit="cover", columns=2, rows=2) | |
| image_files = gr.Files(label="Download", interactive=False) | |
| clear_results = gr.Button("Clear Gallery / Download ποΈ", variant="secondary") | |
| with gr.Column(): | |
| examples = gr.Examples( | |
| examples = [ | |
| ["souryuu asuka langley, 1girl, neon genesis evangelion, plugsuit, pilot suit, red bodysuit, sitting, crossing legs, black eye patch, cat hat, throne, symmetrical, looking down, from bottom, looking at viewer, outdoors"], | |
| ["sailor moon, magical girl transformation, sparkles and ribbons, soft pastel colors, crescent moon motif, starry night sky background, shoujo manga style"], | |
| ["kafuu chino, 1girl, solo"], | |
| ["1girl"], | |
| ["beautiful sunset"], | |
| ], | |
| inputs=[prompt], | |
| cache_examples=False, | |
| ) | |
| with gr.Tab("PNG Info"): | |
| def extract_exif_data(image): | |
| if image is None: return "" | |
| try: | |
| metadata_keys = ['parameters', 'metadata', 'prompt', 'Comment'] | |
| for key in metadata_keys: | |
| if key in image.info: | |
| return image.info[key] | |
| return str(image.info) | |
| except Exception as e: | |
| return f"Error extracting metadata: {str(e)}" | |
| with gr.Row(): | |
| with gr.Column(): | |
| image_metadata = gr.Image(label="Image with metadata", type="pil", sources=["upload"]) | |
| with gr.Column(): | |
| result_metadata = gr.Textbox(label="Metadata", show_label=True, show_copy_button=True, interactive=False, container=True, max_lines=99) | |
| image_metadata.change( | |
| fn=extract_exif_data, | |
| inputs=[image_metadata], | |
| outputs=[result_metadata], | |
| ) | |
| gr.Markdown( | |
| f"""This demo was created in reference to the following demos.<br> | |
| [Nymbo/Flood](https://huggingface.co/spaces/Nymbo/Flood), | |
| [Yntec/ToyWorldXL](https://huggingface.co/spaces/Yntec/ToyWorldXL), | |
| [Yntec/Diffusion80XX](https://huggingface.co/spaces/Yntec/Diffusion80XX). | |
| """ | |
| ) | |
| gr.DuplicateButton(value="Duplicate Space") | |
| gr.Markdown(f"Just a few edits to *model.py* are all it takes to complete your own collection.") | |
| #gr.on(triggers=[run_button.click, prompt.submit, random_button.click], fn=lambda: gr.update(interactive=True), inputs=None, outputs=stop_button, show_api=False) | |
| model_name.change(change_model, [model_name], [model_info], queue=False, show_api=False)\ | |
| .success(warm_model, [model_name], None, queue=False, show_api=False) | |
| for i, o in enumerate(output): | |
| img_i = gr.Number(i, visible=False) | |
| image_num.change(lambda i, n: gr.update(visible = (i < n)), [img_i, image_num], o, show_api=False) | |
| gen_event = gr.on(triggers=[run_button.click, prompt.submit], | |
| fn=lambda i, n, m, t1, t2, n1, n2, n3, n4, n5, l1, l2, l3, l4: infer_fn(m, t1, t2, n1, n2, n3, n4, n5, l1, l2, l3, l4) if (i < n) else None, | |
| inputs=[img_i, image_num, model_name, prompt, neg_prompt, height, width, steps, cfg, seed, | |
| positive_prefix, positive_suffix, negative_prefix, negative_suffix], | |
| outputs=[o], queue=False, show_api=False) # Be sure to delete ", queue=False" when activating the stop button | |
| gen_event2 = gr.on(triggers=[random_button.click], | |
| fn=lambda i, n, m, t1, t2, n1, n2, n3, n4, n5, l1, l2, l3, l4: infer_rand_fn(m, t1, t2, n1, n2, n3, n4, n5, l1, l2, l3, l4) if (i < n) else None, | |
| inputs=[img_i, image_num, model_name, prompt, neg_prompt, height, width, steps, cfg, seed, | |
| positive_prefix, positive_suffix, negative_prefix, negative_suffix], | |
| outputs=[o], queue=False, show_api=False) # Be sure to delete ", queue=False" when activating the stop button | |
| o.change(save_gallery, [o, results], [results, image_files], show_api=False) | |
| #stop_button.click(lambda: gr.update(interactive=False), None, stop_button, cancels=[gen_event, gen_event2], show_api=False) | |
| clear_prompt.click(lambda: (None, None), None, [prompt, neg_prompt], queue=False, show_api=False) | |
| clear_results.click(lambda: (None, None), None, [results, image_files], queue=False, show_api=False) | |
| recom_prompt_preset.change(set_recom_prompt_preset, [recom_prompt_preset], | |
| [positive_prefix, positive_suffix, negative_prefix, negative_suffix], queue=False, show_api=False) | |
| seed_rand.click(randomize_seed, None, [seed], queue=False, show_api=False) | |
| trans_prompt.click(translate_to_en, [prompt], [prompt], queue=False, show_api=False)\ | |
| .then(translate_to_en, [neg_prompt], [neg_prompt], queue=False, show_api=False) | |
| #demo.queue(default_concurrency_limit=200, max_size=200) | |
| demo.launch(max_threads=400) | |
| # https://github.com/gradio-app/gradio/issues/6339 |