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hao-ai-lab-FastVideo/scripts/inference/v1_inference_longcat_distill.sh

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#!/bin/bash
num_gpus=1
export FASTVIDEO_ATTENTION_BACKEND=
# For longcat, we must first convert the official weights to FastVideo native format
# conversion method: python scripts/checkpoint_conversion/longcat_to_fastvideo.py
# --source /path/to/LongCat-Video/weights/LongCat-Video
# --output weights/longcat-native
export MODEL_BASE=weights/longcat-native
fastvideo generate \
--model-path $MODEL_BASE \
--sp-size $num_gpus \
--tp-size 1 \
--num-gpus $num_gpus \
--dit-cpu-offload False \
--vae-cpu-offload False \
--text-encoder-cpu-offload False \
--pin-cpu-memory False \
--enable-bsa False \
--lora-path "$MODEL_BASE/lora/distilled" \
--lora-nickname "distilled" \
--height 480 \
--width 832 \
--num-frames 93 \
--num-inference-steps 16 \
--fps 15 \
--guidance-scale 1.0 \
--prompt "In a realistic photography style, an asian boy around seven or eight years old sits on a park bench, wearing a light yellow T-shirt, denim shorts, and white sneakers. He holds an ice cream cone with vanilla and chocolate flavors, and beside him is a medium-sized golden Labrador. Smiling, the boy offers the ice cream to the dog, who eagerly licks it with its tongue. The sun is shining brightly, and the background features a green lawn and several tall trees, creating a warm and loving scene." \
--seed 42 \
--output-path outputs_video/longcat_distill