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app.py

@@ -1,7 +1,142 @@
 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)
 
-def greet(name):
-    return "Hello " + name + "!!"
+max_images = 8
+MAX_SEED = 2**32-1
+load_models(models)
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+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 🎲", 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 📝", variant="secondary", size="sm", scale=2)
+                        clear_prompt = gr.Button(value="Clear 🗑️", variant="secondary", size="sm", scale=1)
+                with gr.Row():
+                    run_button = gr.Button("Generate Image", variant="primary", scale=8)
+                    random_button = gr.Button("Random Model 🎲", 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 🗑️", 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=True, show_api=True)\
+    .success(warm_model, [model_name], None, queue=True, show_api=True)
+    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=True)
+        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=True, 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=True, 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=True, show_api=True)
+    clear_results.click(lambda: (None, None), None, [results, image_files], queue=True, show_api=True)
+    recom_prompt_preset.change(set_recom_prompt_preset, [recom_prompt_preset],
+     [positive_prefix, positive_suffix, negative_prefix, negative_suffix], queue=True, show_api=True)
+    seed_rand.click(randomize_seed, None, [seed], queue=True, show_api=True)
+    trans_prompt.click(translate_to_en, [prompt], [prompt], queue=True, show_api=True)\
+    .then(translate_to_en, [neg_prompt], [neg_prompt], queue=True, show_api=True)
+
+
+
+
+demo.queue(default_concurrency_limit=240, max_size=240)
+demo.launch(max_threads=400, ssr_mode=True)
+# https://github.com/gradio-app/gradio/issues/6339
+
+demo.queue(concurrency_count=50)
 demo.launch()

model.py

@@ -0,0 +1,81 @@
+from multit2i import find_model_list
+
+models = [
+    'runwayml/stable-diffusion-v1-5',
+    'stabilityai/stable-diffusion-2',
+    'stabilityai/stable-diffusion-3.5-large',
+    'Linaqruf/animagine-xl-2.0',
+    'Meina/MeinaMix_V11',
+    'Yntec/epiCRealismVAE',
+    'digiplay/m3u',
+    'digiplay/FishMix_v1.1',
+    'digiplay/YabaLMixAnimeRealistic_V1.0_VAE',
+    'digiplay/unstableDiffusersYamerMIX_v3',
+    'digiplay/cosfMix_v1',
+    'digiplay/rRealism_v1.0_riiwa',
+    'vcolamatteo/pokemon-text_to_image_lora_1',
+    'stabilityai/stable-diffusion-2',
+    'KBlueLeaf/kohaku-xl-beta5',
+    'calcuis/illustrious',
+    'stabilityai/stable-diffusion-3.5-large-turbo',
+    'stabilityai/stable-diffusion-3.5-large',
+    'black-forest-labs/FLUX.1-dev',
+    'votepurchase/kivotos-xl-2.',
+    'strangerzonehf/Flux-Isometric-3D-LoRA',
+    'prithivMLmods/SD3.5-Large-Anime-LoRA',
+    'Linaqruf/animagine-xl-2.0',
+    'ckpt/kivotos-xl-2.0',
+    'yodayo-ai/clandestine-xl-1.0',
+    'yodayo-ai/kivotos-xl-2.0',
+    'yodayo-ai/holodayo-xl-2.1',
+    'cagliostrolab/animagine-xl-3.1',
+    'votepurchase/ponyDiffusionV6XL',
+    'eienmojiki/Anything-XL',
+    'eienmojiki/Starry-XL-v5.2',
+    "digiplay/MilkyWonderland_v1",
+    'digiplay/majicMIX_sombre_v2',
+    'digiplay/majicMIX_realistic_v7',
+    'digiplay/majicMIX_realistic_v6',
+    'digiplay/2K',
+    'digiplay/2K-VAE',
+    'digiplay/ya3_VAE',
+    'digiplay/ya3p_VAE',
+    'digiplay/pan04',
+    'digiplay/AM-mix1',
+    'digiplay/MRMD_0505',
+    'Yntec/NostalgicLife',
+    'Yntec/Genuine',
+    'Yntec/Abased',
+    'Yntec/CuteFurry',
+    'Yntec/GOLDFish',
+    'Yntec/Isabelia',
+    'Yntec/incha_re_zoro',
+    'Yntec/InsaneM3U',    
+    'votepurchase/counterfeitV30_v30',
+    'Meina/MeinaMix_V11',
+    'KBlueLeaf/Kohaku-XL-Epsilon-rev3',
+    'KBlueLeaf/Kohaku-XL-Zeta',
+    'kayfahaarukku/UrangDiffusion-1.4',
+    'Eugeoter/artiwaifu-diffusion-2.0',
+    'Raelina/Rae-Diffusion-XL-V2',
+    'Raelina/Raemu-XL-V4',    
+    'FluffyKaeloky/Midnight-Miqu-103B-v1.5',   
+    'Sombressoul/Yi-34B-200K-AWQ',
+    'KBlueLeaf/Kohaku-XL-Zeta',
+    'prashanth970/flux-lora-uncensored',
+    'stablediffusionapi/newrealityxl-global-nsfw',
+    'stablediffusionapi/omnigenxl-nsfw-sfw',
+    'stablediffusionapi/hassaku-xl-sfwnsfw',
+    
+]
+
+#models = find_model_list("Disty0", [], "", "last_modified", 100)
+
+
+# Examples:
+#models = ['yodayo-ai/kivotos-xl-2.0', 'yodayo-ai/holodayo-xl-2.1'] # specific models
+#models = find_model_list("Yntec", [], "", "last_modified", 10) # John6666's latest 20 models
+#models = find_model_list("John6666", ["anime"], "", "last_modified", 20) # John6666's latest 20 models with 'anime' tag
+#models = find_model_list("John6666", [], "anime", "last_modified", 20) # John6666's latest 20 models without 'anime' tag
+#models = find_model_list("", [], "", "last_modified", 20) # latest 20 text-to-image models of huggingface
+#models = find_model_list("", [], "", "downloads", 20) # monthly most downloaded 20 text-to-image models of huggingface

requirements.txt

@@ -0,0 +1,7 @@
+huggingface_hub
+translatepy
+torch
+accelerate
+diffusers
+invisible_watermark
+transformers