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daquanzhou
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Parent(s):
17fa1b2
add more
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app.py
CHANGED
@@ -244,6 +244,10 @@ class MagicMeController:
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prompt = f"a photo of embedding:{self.selected_id_embed} {category} " + prompt_text_box
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print("prompt:", prompt)
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print("negative_prompt_text_box:", negative_prompt_text_box)
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with torch.inference_mode():
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cliptextencode = CLIPTextEncode()
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cliptextencode_6 = cliptextencode.encode(
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@@ -529,32 +533,21 @@ def ui():
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with gr.Blocks(css=css) as demo:
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gr.Markdown(
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"""
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#
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[Arxiv Report](https://arxiv.org/abs/
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"""
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gr.Markdown(
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"""
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### Quick Start
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1. Select desired `
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2.
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- [`toonyou_beta3.safetensors`](https://civitai.com/models/30240?modelVersionId=78775)
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- [`lyriel_v16.safetensors`](https://civitai.com/models/22922/lyriel)
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- [`rcnzCartoon3d_v10.safetensors`](https://civitai.com/models/66347?modelVersionId=71009)
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- [`majicmixRealistic_v5Preview.safetensors`](https://civitai.com/models/43331?modelVersionId=79068)
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- [`realisticVisionV20_v20.safetensors`](https://civitai.com/models/4201?modelVersionId=29460)
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4. Click `Generate`, wait for ~1 min, and enjoy.
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"""
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with gr.Row():
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with gr.Column():
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# id_embed_dropdown = gr.Dropdown( label="Base DreamBooth Model", choices=c.base_model_list, value=c.base_model_list[0], interactive=True )
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# motion_module_dropdown = gr.Dropdown( label="Motion Module", choices=c.motion_module_list, value=c.motion_module_list[0], interactive=True )
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# id_embed_dropdown.change(fn=c.update_base_model, inputs=[id_embed_dropdown], outputs=[id_embed_dropdown])
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# motion_module_dropdown.change(fn=c.update_motion_module, inputs=[motion_module_dropdown], outputs=[motion_module_dropdown])
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id_embed_dropdown = gr.Dropdown( label="ID Embedding", choices=c.id_embed_list, value=c.id_embed_list[0], interactive=True )
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id_embed_dropdown.change(fn=c.update_id_embed, inputs=[id_embed_dropdown], outputs=[id_embed_dropdown])
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prompt = f"a photo of embedding:{self.selected_id_embed} {category} " + prompt_text_box
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print("prompt:", prompt)
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print("negative_prompt_text_box:", negative_prompt_text_box)
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print("id_embed_dropdown:", id_embed_dropdown)
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print("gaussian_slider:", gaussian_slider)
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print("seed_text_box:", seed_text_box)
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seed_text_box = int(seed_text_box)
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with torch.inference_mode():
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cliptextencode = CLIPTextEncode()
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cliptextencode_6 = cliptextencode.encode(
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with gr.Blocks(css=css) as demo:
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gr.Markdown(
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"""
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# Magic-Me: Identity-Specific Video Customized Diffusion
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Ze Ma*, Daquan Zhou* †, Chun-Hsiao Yeh, Xue-She Wang, Xiuyu Li, Huanrui Yang, Zhen Dong †, Kurt Keutzer, Jiashi Feng (*Joint First Author, † Corresponding Author)
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[Arxiv Report](https://arxiv.org/abs/2402.09368) | [Project Page](https://magic-me-webpage.github.io/) | [Github](https://github.com/Zhen-Dong/Magic-Me)
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"""
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)
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gr.Markdown(
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"""
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### Quick Start
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1. Select desired `ID embedding`.
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2. Provide `Prompt` and `Negative Prompt` for each model. Please use propoer pronoun for the character's gender.
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4. Click `Generate`, wait for ~5 min, and enjoy.
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"""
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)
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with gr.Row():
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with gr.Column():
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id_embed_dropdown = gr.Dropdown( label="ID Embedding", choices=c.id_embed_list, value=c.id_embed_list[0], interactive=True )
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id_embed_dropdown.change(fn=c.update_id_embed, inputs=[id_embed_dropdown], outputs=[id_embed_dropdown])
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