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README.md

@@ -4,7 +4,7 @@ emoji: 🖼️⬇️
 colorFrom: blue
 colorTo: purple
 sdk: gradio
-sdk_version: 4.44.1
+sdk_version: 5.0.1
 app_file: app.py
 pinned: false
 short_description: Text-to-Image

app.py

@@ -22,96 +22,120 @@ css = """
 """
 
 with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", fill_width=True, css=css) as demo:
-    with gr.Row():
-        with gr.Column(scale=10): 
-            with gr.Group():
-                with gr.Accordion("Prompt from Image File", open=False):
-                    tagger_image = gr.Image(label="Input image", type="pil", sources=["upload", "clipboard"], height=256)
-                    with gr.Accordion(label="Advanced options", open=False):
+    with gr.Tab("Image Generator"):
+        with gr.Row():
+            with gr.Column(scale=10): 
+                with gr.Group():
+                    with gr.Accordion("Prompt from Image File", open=False):
+                        tagger_image = gr.Image(label="Input image", type="pil", format="png", sources=["upload", "clipboard"], height=256)
+                        with gr.Accordion(label="Advanced options", open=False):
+                            with gr.Row():
+                                tagger_general_threshold = gr.Slider(label="Threshold", minimum=0.0, maximum=1.0, value=0.3, step=0.01, interactive=True)
+                                tagger_character_threshold = gr.Slider(label="Character threshold", minimum=0.0, maximum=1.0, value=0.8, step=0.01, interactive=True)
+                                tagger_tag_type = gr.Radio(label="Convert tags to", info="danbooru for common, e621 for Pony.", choices=["danbooru", "e621"], value="danbooru")
+                            with gr.Row():
+                                tagger_recom_prompt = gr.Radio(label="Insert reccomended prompt", choices=["None", "Animagine", "Pony"], value="None", interactive=True)  
+                                tagger_keep_tags = gr.Radio(label="Remove tags leaving only the following", choices=["body", "dress", "all"], value="all")
+                        tagger_algorithms = gr.CheckboxGroup(["Use WD Tagger", "Use Florence-2-SD3-Long-Captioner"], label="Algorithms", value=["Use WD Tagger"])
+                        tagger_generate_from_image = gr.Button(value="Generate Tags from Image", variant="secondary")
+                    with gr.Accordion("Prompt Transformer", open=False):
                         with gr.Row():
-                            tagger_general_threshold = gr.Slider(label="Threshold", minimum=0.0, maximum=1.0, value=0.3, step=0.01, interactive=True)
-                            tagger_character_threshold = gr.Slider(label="Character threshold", minimum=0.0, maximum=1.0, value=0.8, step=0.01, interactive=True)
-                            tagger_tag_type = gr.Radio(label="Convert tags to", info="danbooru for common, e621 for Pony.", choices=["danbooru", "e621"], value="danbooru")
+                            v2_character = gr.Textbox(label="Character", placeholder="hatsune miku", scale=2)
+                            v2_series = gr.Textbox(label="Series", placeholder="vocaloid", scale=2)
                         with gr.Row():
-                            tagger_recom_prompt = gr.Radio(label="Insert reccomended prompt", choices=["None", "Animagine", "Pony"], value="None", interactive=True)  
-                            tagger_keep_tags = gr.Radio(label="Remove tags leaving only the following", choices=["body", "dress", "all"], value="all")
-                    tagger_algorithms = gr.CheckboxGroup(["Use WD Tagger", "Use Florence-2-SD3-Long-Captioner"], label="Algorithms", value=["Use WD Tagger"])
-                    tagger_generate_from_image = gr.Button(value="Generate Tags from Image", variant="secondary")
-                with gr.Accordion("Prompt Transformer", open=False):
-                    with gr.Row():
-                        v2_character = gr.Textbox(label="Character", placeholder="hatsune miku", scale=2)
-                        v2_series = gr.Textbox(label="Series", placeholder="vocaloid", scale=2)
-                    with gr.Row():
-                        v2_rating = gr.Radio(label="Rating", choices=list(V2_RATING_OPTIONS), value="sfw")
-                        v2_aspect_ratio = gr.Radio(label="Aspect ratio", info="The aspect ratio of the image.", choices=list(V2_ASPECT_RATIO_OPTIONS), value="square", visible=False)
-                        v2_length = gr.Radio(label="Length", info="The total length of the tags.", choices=list(V2_LENGTH_OPTIONS), value="long")
-                    with gr.Row():
-                        v2_identity = gr.Radio(label="Keep identity", info="How strictly to keep the identity of the character or subject. If you specify the detail of subject in the prompt, you should choose `strict`. Otherwise, choose `none` or `lax`. `none` is very creative but sometimes ignores the input prompt.", choices=list(V2_IDENTITY_OPTIONS), value="lax")                    
-                        v2_ban_tags = gr.Textbox(label="Ban tags", info="Tags to ban from the output.", placeholder="alternate costumen, ...", value="censored")
-                        v2_tag_type = gr.Radio(label="Tag Type", info="danbooru for common, e621 for Pony.", choices=["danbooru", "e621"], value="danbooru", visible=False)
-                    v2_model = gr.Dropdown(label="Model", choices=list(V2_ALL_MODELS.keys()), value=list(V2_ALL_MODELS.keys())[0])
-                    v2_copy = gr.Button(value="Copy to clipboard", variant="secondary", size="sm", interactive=False)
-                    random_prompt = gr.Button(value="Extend 🎲", variant="secondary")
-                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")
+                            v2_rating = gr.Radio(label="Rating", choices=list(V2_RATING_OPTIONS), value="sfw")
+                            v2_aspect_ratio = gr.Radio(label="Aspect ratio", info="The aspect ratio of the image.", choices=list(V2_ASPECT_RATIO_OPTIONS), value="square", visible=False)
+                            v2_length = gr.Radio(label="Length", info="The total length of the tags.", choices=list(V2_LENGTH_OPTIONS), value="long")
+                        with gr.Row():
+                            v2_identity = gr.Radio(label="Keep identity", info="How strictly to keep the identity of the character or subject. If you specify the detail of subject in the prompt, you should choose `strict`. Otherwise, choose `none` or `lax`. `none` is very creative but sometimes ignores the input prompt.", choices=list(V2_IDENTITY_OPTIONS), value="lax")                    
+                            v2_ban_tags = gr.Textbox(label="Ban tags", info="Tags to ban from the output.", placeholder="alternate costumen, ...", value="censored")
+                            v2_tag_type = gr.Radio(label="Tag Type", info="danbooru for common, e621 for Pony.", choices=["danbooru", "e621"], value="danbooru", visible=False)
+                        v2_model = gr.Dropdown(label="Model", choices=list(V2_ALL_MODELS.keys()), value=list(V2_ALL_MODELS.keys())[0])
+                        v2_copy = gr.Button(value="Copy to clipboard", variant="secondary", size="sm", interactive=False)
+                        random_prompt = gr.Button(value="Extend 🎲", variant="secondary")
+                    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():
-                        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"])
+                        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():
-                    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=6)
-                random_button = gr.Button("Random Model 🎲", variant="secondary", scale=3)
-                #stop_button = gr.Button('Stop', variant="stop", interactive=False, 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) 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],
-        )
-        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.")
+                    run_button = gr.Button("Generate Image", variant="primary", scale=6)
+                    random_button = gr.Button("Random Model 🎲", variant="secondary", scale=3)
+                    #stop_button = gr.Button('Stop', variant="stop", interactive=False, 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=False, show_api=False)\
@@ -132,7 +156,7 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", fill_width=True, css=css) as demo:
         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, [prompt], queue=False, show_api=False)
+    clear_prompt.click(lambda: (None, None, None, None), None, [prompt, neg_prompt, v2_character, v2_series], 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)
@@ -157,5 +181,5 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", fill_width=True, css=css) as demo:
     ).success(insert_recom_prompt, [prompt, neg_prompt, tagger_recom_prompt], [prompt, neg_prompt], queue=False, show_api=False,
     ).success(compose_prompt_to_copy, [v2_character, v2_series, prompt], [prompt], queue=False, show_api=False)
 
-demo.queue(default_concurrency_limit=200, max_size=200)
+#demo.queue(default_concurrency_limit=200, max_size=200)
 demo.launch(max_threads=400)

requirements.txt

@@ -2,9 +2,8 @@ huggingface_hub
 torch==2.2.0
 torchvision
 accelerate
-transformers
+transformers==4.44.0
 optimum[onnxruntime]
-spaces
 dartrs
 translatepy
 timm