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banodoco-steerable-motion/demo/Vace_Travel.json
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{
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"If you have Triton installed, connect this for ~30% speed increase"
],
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"Adjust the blocks to swap based on your VRAM, this is a tradeoff between speed and memory usage.\n\n\nIMPORTANT!\nWhen at least 1 VACE block is swapped, the intermediate outputs are also offloaded reducing VRAM usage considerably"
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"While the WanVideo 1.3B model is in FP32, the VACE module in it is in BF16, so using fp16_fast is technically lossy, but seems to be fine if you want the speed boost."
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"Original model link, you can rename to whatever you like:\n\n[https://huggingface.co/ali-vilab/VACE-Wan2.1-1.3B-Preview/blob/main/diffusion_pytorch_model.safetensors](https://huggingface.co/ali-vilab/VACE-Wan2.1-1.3B-Preview/blob/main/diffusion_pytorch_model.safetensors)"
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"fp8_fast seems to cause quality degradation\n\nfp_16_fast enables \"Full FP16 Accmumulation in FP16 GEMMs\" feature available in the very latest pytorch nightly, this is around 20% speed boost. \n\nSageattn if you have it installed can be used for almost double inference speed"
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