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hao-ai-lab-FastVideo/scripts/inference/v1_inference_fasthunyuan.sh

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#!/bin/bash
num_gpus=4
export MODEL_BASE=FastVideo/FastHunyuan-Diffusers
export FASTVIDEO_ATTENTION_BACKEND=FLASH_ATTN
# Note that the tp_size and sp_size should be the same and equal to the number
# of GPUs. They are used for different parallel groups. sp_size is used for
# dit model and tp_size is used for encoder models.
torchrun --nnodes=1 --nproc_per_node=$num_gpus --master_port 29503 \
fastvideo/v1/sample/v1_fastvideo_inference.py \
--sp_size $num_gpus \
--tp_size $num_gpus \
--height 720 \
--width 1280 \
--num_frames 125 \
--num_inference_steps 6 \
--guidance_scale 1 \
--embedded_cfg_scale 6 \
--flow_shift 17 \
--prompt_path ./assets/prompt.txt \
--seed 1024 \
--output_path outputs_video/ \
--model_path $MODEL_BASE \
--vae-sp