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app.py
CHANGED
@@ -4,7 +4,7 @@ import torch
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from model import Model, ModelType
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# from app_canny import create_demo as create_demo_canny
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from app_pose import create_demo as create_demo_pose
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from app_text_to_video import create_demo as create_demo_text_to_video
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from app_pix2pix_video import create_demo as create_demo_pix2pix_video
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# from app_canny_db import create_demo as create_demo_canny_db
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@@ -20,15 +20,19 @@ with gr.Blocks(css='style.css') as demo:
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Text2Video-Zero
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</h1>
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<h2 style="font-weight: 450; font-size: 1rem; margin-top: 0.5rem; margin-bottom: 0.5rem">
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We
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and, Edge Conditional and DreamBooth Specialized applications.
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</h2>
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<h3 style="font-weight: 450; font-size: 1rem; margin: 0rem">
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Levon Khachatryan, Andranik Movsisyan, Vahram Tadevosyan, Roberto Henschel,
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and <a href="https://www.humphreyshi.com/home">Humphrey Shi</a>
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[<a href="https://arxiv.org/abs/2303.13439" style="color:blue;">arXiv</a>]
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[<a href="https://github.com/Picsart-AI-Research/Text2Video-Zero" style="color:blue;">GitHub</a>]
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</h3>
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</div>
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""")
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@@ -38,9 +42,9 @@ with gr.Blocks(css='style.css') as demo:
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with gr.Tab('Video Instruct Pix2Pix'):
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# pass
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create_demo_pix2pix_video(model)
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with gr.Tab('Pose Conditional'):
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# with gr.Tab('Edge Conditional'):
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# pass
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# # create_demo_canny(model)
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from model import Model, ModelType
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# from app_canny import create_demo as create_demo_canny
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# from app_pose import create_demo as create_demo_pose
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from app_text_to_video import create_demo as create_demo_text_to_video
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from app_pix2pix_video import create_demo as create_demo_pix2pix_video
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# from app_canny_db import create_demo as create_demo_canny_db
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Text2Video-Zero
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</h1>
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<h2 style="font-weight: 450; font-size: 1rem; margin-top: 0.5rem; margin-bottom: 0.5rem">
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We built <b>Text2Video-Zero, a first zero-shot text-to-video synthesis diffusion framework, that enables low cost yet high-quality and consistent video generation with only pre-trained text-to-image diffusion models without any training on videos or optimization!
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Text2Video-Zero also naturally supports cool derivative works of pre-trained text-to-image models such as Instruct Pix2Pix, ControlNet and DreamBooth, and based on which we present Video Instruct Pix2Pix, Pose Conditional, Edge Conditional and, Edge Conditional and DreamBooth Specialized applications.
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We hope our Text2Video-Zero will further democratize AI and empower creativity of everyone by unleashing the zero-shot video generation and editing capacity of the amazing text-to-image models and encourages future research!
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</h2>
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<h3 style="font-weight: 450; font-size: 1rem; margin: 0rem">
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Levon Khachatryan, Andranik Movsisyan, Vahram Tadevosyan, Roberto Henschel, Zhangyang Wang, Shant Navasardyan
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and <a href="https://www.humphreyshi.com/home">Humphrey Shi</a>
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[<a href="https://arxiv.org/abs/2303.13439" style="color:blue;">arXiv</a>]
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[<a href="https://github.com/Picsart-AI-Research/Text2Video-Zero" style="color:blue;">GitHub</a>]
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</h3>
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# <h3 style="font-weight: 450; font-size: 1rem; margin: 0rem">
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# </h3>
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</div>
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""")
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with gr.Tab('Video Instruct Pix2Pix'):
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# pass
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create_demo_pix2pix_video(model)
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# with gr.Tab('Pose Conditional'):
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# # pass
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# create_demo_pose(model)
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# with gr.Tab('Edge Conditional'):
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# pass
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# # create_demo_canny(model)
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