53 lines
1.9 KiB
JSON
53 lines
1.9 KiB
JSON
{
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"recipes": [
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{
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"id": "fastwan21-t2v",
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"task": "Text to video",
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"label": "FastWan2.1 1.3B (distilled + VSA)",
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"model": "FastVideo/FastWan2.1-T2V-1.3B-Diffusers",
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"source": "scripts/inference/inference_wan_VSA_DMD_1_3B.yaml",
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"command": "FASTVIDEO_ATTENTION_BACKEND=VIDEO_SPARSE_ATTN fastvideo generate --config scripts/inference/inference_wan_VSA_DMD_1_3B.yaml"
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},
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{
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"id": "wan22-t2v",
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"task": "Text to video",
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"label": "Wan2.2 A14B",
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"model": "Wan-AI/Wan2.2-T2V-A14B-Diffusers",
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"source": "examples/inference/basic/basic_wan2_2.py",
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"command": "python examples/inference/basic/basic_wan2_2.py"
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},
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{
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"id": "wan21-i2v",
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"task": "Image to video",
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"label": "Wan2.1 14B 480P",
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"model": "Wan-AI/Wan2.1-I2V-14B-480P-Diffusers",
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"source": "scripts/inference/inference_wan_i2v.yaml",
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"command": "fastvideo generate --config scripts/inference/inference_wan_i2v.yaml"
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},
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{
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"id": "turbowan22-i2v",
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"task": "Image to video",
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"label": "TurboWan2.2 A14B",
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"model": "loayrashid/TurboWan2.2-I2V-A14B-Diffusers",
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"source": "examples/inference/basic/basic_turbodiffusion_i2v.py",
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"command": "python examples/inference/basic/basic_turbodiffusion_i2v.py"
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},
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{
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"id": "wan22-ti2v",
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"task": "Text or image to video",
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"label": "Wan2.2 TI2V 5B",
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"model": "Wan-AI/Wan2.2-TI2V-5B-Diffusers",
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"source": "examples/inference/basic/basic_wan2_2_ti2v.py",
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"command": "python examples/inference/basic/basic_wan2_2_ti2v.py"
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},
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{
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"id": "matrix-game-2",
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"task": "Interactive world",
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"label": "Matrix Game 2.0",
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"model": "FastVideo/Matrix-Game-2.0-Base-Distilled-Diffusers",
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"source": "examples/inference/basic/basic_matrixgame2.py",
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"command": "python examples/inference/basic/basic_matrixgame2.py"
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}
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]
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}
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