| import gradio as gr | |
| from v2 import ( | |
| V2UI, | |
| parse_upsampling_output, | |
| V2_ALL_MODELS, | |
| ) | |
| from utils import ( | |
| gradio_copy_text, | |
| COPY_ACTION_JS, | |
| V2_ASPECT_RATIO_OPTIONS, | |
| V2_RATING_OPTIONS, | |
| V2_LENGTH_OPTIONS, | |
| V2_IDENTITY_OPTIONS | |
| ) | |
| from tagger import ( | |
| predict_tags_wd, | |
| convert_danbooru_to_e621_prompt, | |
| remove_specific_prompt, | |
| insert_recom_prompt, | |
| compose_prompt_to_copy, | |
| translate_prompt, | |
| sort_tags, | |
| select_random_character, | |
| ) | |
| from z3de621conv import ( | |
| predict_tags_e621, | |
| ) | |
| from fl2sd3longcap import ( | |
| predict_tags_fl2_sd3, | |
| ) | |
| from fl2basepromptgen import ( | |
| predict_tags_fl2_base_prompt_gen, | |
| ) | |
| from wdtagger import ( | |
| predict_tags_wd_large, | |
| get_wdtagger_models, | |
| SWINV2_MODEL_DSV3_REPO, | |
| CONV_MODEL_DSV3_REPO, | |
| VIT_MODEL_DSV3_REPO, | |
| VIT_LARGE_MODEL_DSV3_REPO, | |
| EVA02_LARGE_MODEL_DSV3_REPO, | |
| MOAT_MODEL_DSV2_REPO, | |
| SWIN_MODEL_DSV2_REPO, | |
| CONV_MODEL_DSV2_REPO, | |
| CONV2_MODEL_DSV2_REPO, | |
| VIT_MODEL_DSV2_REPO, | |
| ) | |
| def description_ui(): | |
| gr.Markdown( | |
| """ | |
| ## Danbooru Tags Transformer V2 Demo with WD Tagger | |
| (Image =>) Prompt => Upsampled longer prompt | |
| """ | |
| ) | |
| def description_ui2(): | |
| gr.Markdown( | |
| """ | |
| - Mod of p1atdev's [Danbooru Tags Transformer V2 Demo](https://huggingface.co/spaces/p1atdev/danbooru-tags-transformer-v2) and [WD Tagger with 🤗 transformers](https://huggingface.co/spaces/p1atdev/wd-tagger-transformers). | |
| - Models: p1atdev's [wd-swinv2-tagger-v3-hf](https://huggingface.co/p1atdev/wd-swinv2-tagger-v3-hf), [dart-v2-moe-sft](https://huggingface.co/p1atdev/dart-v2-moe-sft), [dart-v2-sft](https://huggingface.co/p1atdev/dart-v2-sft)\ | |
| , toynya's [Z3D-E621-Convnext](https://huggingface.co/toynya/Z3D-E621-Convnext), gokaygokay's [Florence-2-SD3-Captioner](https://huggingface.co/gokaygokay/Florence-2-SD3-Captioner),\ | |
| MiaoshouAI's [Florence-2-base-PromptGen](https://huggingface.co/MiaoshouAI/Florence-2-base-PromptGen),\ | |
| SmilingWolf's [wd-vit-large-tagger-v3](https://huggingface.co/SmilingWolf/wd-vit-large-tagger-v3). | |
| """ | |
| ) | |
| def main(): | |
| v2 = V2UI() | |
| with gr.Blocks() as ui: | |
| description_ui() | |
| with gr.Row(): | |
| with gr.Column(scale=2): | |
| with gr.Group(): | |
| input_image = gr.Image(label="Input image", type="pil", sources=["upload", "clipboard"], height=256) | |
| with gr.Accordion(label="Advanced options", open=False): | |
| wdtagger_model = gr.Dropdown(label="Original WD Tagger Model", choices=get_wdtagger_models(), value=VIT_LARGE_MODEL_DSV3_REPO) | |
| general_threshold = gr.Slider(label="Threshold", minimum=0.0, maximum=1.0, value=0.3, step=0.01, interactive=True) | |
| character_threshold = gr.Slider(label="Character threshold", minimum=0.0, maximum=1.0, value=0.8, step=0.01, interactive=True) | |
| e621_threshold = gr.Slider(label="Threshold (Z3D-E621-Convnext)", minimum=0.0, maximum=1.0, value=0.5, step=0.01, interactive=True) | |
| input_tag_type = gr.Radio(label="Convert tags to", info="danbooru for Animagine, e621 for Pony.", choices=["danbooru", "e621"], value="danbooru") | |
| recom_prompt = gr.Radio(label="Insert reccomended prompt", choices=["None", "Animagine", "Pony"], value="None", interactive=True) | |
| image_algorithms = gr.CheckboxGroup(["Use WD Tagger", "Use Original WD Tagger", "Use Z3D-E621-Convnext", "Use Florence-2-SD3-Long-Captioner", "Use Florence-2-base-PromptGen"], label="Algorithms", value=["Use WD Tagger"]) | |
| keep_tags = gr.Radio(label="Remove tags leaving only the following", choices=["body", "dress", "all"], value="all") | |
| generate_from_image_btn = gr.Button(value="GENERATE TAGS FROM IMAGE", size="lg", variant="primary") | |
| with gr.Group(): | |
| input_character = gr.Textbox(label="Character tags", placeholder="hatsune miku") | |
| input_copyright = gr.Textbox(label="Copyright tags", placeholder="vocaloid") | |
| random_character = gr.Button(value="Pick a random character 🎲", size="sm") | |
| input_general = gr.TextArea(label="General tags", lines=4, placeholder="1girl, ...", value="") | |
| input_tags_to_copy = gr.Textbox(value="", visible=False) | |
| copy_input_btn = gr.Button(value="Copy to clipboard", size="sm", interactive=False) | |
| translate_input_prompt_button = gr.Button(value="Translate prompt to English", size="sm", variant="secondary") | |
| tag_type = gr.Radio(label="Output tag conversion", info="danbooru for Animagine, e621 for Pony.", choices=["danbooru", "e621"], value="e621", visible=False) | |
| input_rating = gr.Radio(label="Rating", choices=list(V2_RATING_OPTIONS), value="explicit") | |
| with gr.Accordion(label="Advanced options", open=False): | |
| input_aspect_ratio = gr.Radio(label="Aspect ratio", info="The aspect ratio of the image.", choices=list(V2_ASPECT_RATIO_OPTIONS), value="square") | |
| input_length = gr.Radio(label="Length", info="The total length of the tags.", choices=list(V2_LENGTH_OPTIONS), value="very_long") | |
| input_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") | |
| input_ban_tags = gr.Textbox(label="Ban tags", info="Tags to ban from the output.", placeholder="alternate costumen, ...", value="censored") | |
| model_name = gr.Dropdown(label="Model", choices=list(V2_ALL_MODELS.keys()), value=list(V2_ALL_MODELS.keys())[0]) | |
| dummy_np = gr.Textbox(label="Negative prompt", value="", visible=False) | |
| recom_animagine = gr.Textbox(label="Animagine reccomended prompt", value="Animagine", visible=False) | |
| recom_pony = gr.Textbox(label="Pony reccomended prompt", value="Pony", visible=False) | |
| generate_btn = gr.Button(value="GENERATE TAGS", size="lg", variant="primary") | |
| with gr.Group(): | |
| output_text = gr.TextArea(label="Output tags", interactive=False, show_copy_button=True) | |
| copy_btn = gr.Button(value="Copy to clipboard", size="sm", interactive=False) | |
| elapsed_time_md = gr.Markdown(label="Elapsed time", value="", visible=False) | |
| with gr.Group(): | |
| output_text_pony = gr.TextArea(label="Output tags (Pony e621 style)", interactive=False, show_copy_button=True) | |
| copy_btn_pony = gr.Button(value="Copy to clipboard", size="sm", interactive=False) | |
| description_ui2() | |
| v2.input_components = [model_name, input_copyright, input_character, input_general, | |
| input_rating, input_aspect_ratio, input_length, input_identity, input_ban_tags] | |
| random_character.click(select_random_character, [input_copyright, input_character], [input_copyright, input_character], queue=False) | |
| translate_input_prompt_button.click(translate_prompt, [input_general], [input_general], queue=False) | |
| translate_input_prompt_button.click(translate_prompt, [input_character], [input_character], queue=False) | |
| translate_input_prompt_button.click(translate_prompt, [input_copyright], [input_copyright], queue=False) | |
| generate_from_image_btn.click( | |
| predict_tags_wd, | |
| [input_image, input_general, image_algorithms, general_threshold, character_threshold, input_copyright, input_character], | |
| [input_copyright, input_character, input_general, copy_input_btn], | |
| ).success( | |
| predict_tags_wd_large, | |
| [input_image, input_general, image_algorithms, general_threshold, character_threshold, input_copyright, input_character, wdtagger_model], | |
| [input_copyright, input_character, input_general, copy_input_btn], | |
| ).success( | |
| predict_tags_e621, [input_image, input_general, image_algorithms, e621_threshold], [input_general], | |
| ).success( | |
| predict_tags_fl2_sd3, [input_image, input_general, image_algorithms], [input_general], | |
| ).success( | |
| predict_tags_fl2_base_prompt_gen, [input_image, input_general, image_algorithms], [input_general], | |
| ).success( | |
| remove_specific_prompt, [input_general, keep_tags], [input_general], queue=False, | |
| ).success( | |
| convert_danbooru_to_e621_prompt, [input_general, input_tag_type], [input_general], queue=False, | |
| ).success( | |
| sort_tags, [input_general], [input_general], queue=False, | |
| ).success( | |
| insert_recom_prompt, [input_general, dummy_np, recom_prompt], [input_general, dummy_np], queue=False, | |
| ) | |
| copy_input_btn.click(compose_prompt_to_copy, [input_character, input_copyright, input_general], [input_tags_to_copy], queue=False)\ | |
| .success(gradio_copy_text, [input_tags_to_copy], js=COPY_ACTION_JS) | |
| generate_btn.click( | |
| parse_upsampling_output(v2.on_generate), [*v2.input_components], | |
| [output_text, elapsed_time_md, copy_btn, copy_btn_pony], | |
| ).success( | |
| sort_tags, [output_text], [output_text], queue=False, | |
| ).success( | |
| convert_danbooru_to_e621_prompt, [output_text, tag_type], [output_text_pony], queue=False, | |
| ).success( | |
| insert_recom_prompt, [output_text, dummy_np, recom_animagine], [output_text, dummy_np], queue=False, | |
| ).success( | |
| insert_recom_prompt, [output_text_pony, dummy_np, recom_pony], [output_text_pony, dummy_np], queue=False, | |
| ) | |
| copy_btn.click(gradio_copy_text, [output_text], js=COPY_ACTION_JS) | |
| copy_btn_pony.click(gradio_copy_text, [output_text_pony], js=COPY_ACTION_JS) | |
| ui.launch() | |
| if __name__ == "__main__": | |
| main() | |