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Browse files- README.md +4 -0
- app.py +0 -9
- configs/prompts/animation.yaml +5 -5
README.md
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@@ -7,5 +7,9 @@ sdk: gradio
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sdk_version: 4.4.0
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python_version: 3.8
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app_file: app.py
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pinned: false
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---
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sdk_version: 4.4.0
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python_version: 3.8
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app_file: app.py
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models:
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- zcxu-eric/MagicAnimate
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- runwayml/stable-diffusion-v1-5
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- stabilityai/sd-vae-ft-mse
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pinned: false
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---
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app.py
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@@ -17,15 +17,6 @@ from subprocess import PIPE, run
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from demo.animate import MagicAnimate
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for command in [
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'mkdir ./pretrained_models && cd pretrained_models',
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'git lfs clone https://huggingface.co/zcxu-eric/MagicAnimate',
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'git lfs clone https://huggingface.co/runwayml/stable-diffusion-v1-5',
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'git lfs clone https://huggingface.co/stabilityai/sd-vae-ft-mse',
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'cd ..',
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]:
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run(command, stdout=PIPE, stderr=PIPE, universal_newlines=True, shell=True)
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animator = MagicAnimate()
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def animate(reference_image, motion_sequence_state, seed, steps, guidance_scale):
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from demo.animate import MagicAnimate
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animator = MagicAnimate()
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def animate(reference_image, motion_sequence_state, seed, steps, guidance_scale):
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configs/prompts/animation.yaml
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pretrained_model_path: "
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pretrained_vae_path: "
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pretrained_controlnet_path: "
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pretrained_appearance_encoder_path: "
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pretrained_unet_path: ""
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motion_module: "
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savename: null
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pretrained_model_path: "stable-diffusion-v1-5"
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pretrained_vae_path: "sd-vae-ft-mse"
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pretrained_controlnet_path: "MagicAnimate/densepose_controlnet"
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pretrained_appearance_encoder_path: "MagicAnimate/appearance_encoder"
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pretrained_unet_path: ""
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motion_module: "MagicAnimate/temporal_attention/temporal_attention.ckpt"
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savename: null
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