tools/llm_flux_cogvideox/generate.sh

#!/bin/bash

NUM_VIDEOS=10
INFERENCE_STEPS=50
GUIDANCE_SCALE=7.0
OUTPUT_DIR_PREFIX="outputs/gpu_"
LOG_DIR_PREFIX="logs/gpu_"

VIDEO_MODEL_PATH="/share/official_pretrains/hf_home/CogVideoX-5b-I2V"
LLM_MODEL_PATH="/share/home/zyx/Models/Meta-Llama-3.1-8B-Instruct"
IMAGE_MODEL_PATH = "share/home/zyx/Models/FLUX.1-dev"

#VIDEO_MODEL_PATH="THUDM/CogVideoX-5B-I2V"
#LLM_MODEL_PATH="THUDM/glm-4-9b-chat"
#IMAGE_MODEL_PATH = "black-forest-labs/FLUX.1-dev"

CUDA_DEVICES=${CUDA_VISIBLE_DEVICES:-"0"}

IFS=',' read -r -a GPU_ARRAY <<< "$CUDA_DEVICES"

for i in "${!GPU_ARRAY[@]}"
do
    GPU=${GPU_ARRAY[$i]}
    echo "Starting task on GPU $GPU..."
    CUDA_VISIBLE_DEVICES=$GPU nohup python3 llm_flux_cogvideox.py \
    --caption_generator_model_id $LLM_MODEL_PATH \
    --image_generator_model_id $IMAGE_MODEL_PATH \
    --model_path $VIDEO_MODEL_PATH \
    --num_videos $NUM_VIDEOS \
    --image_generator_num_inference_steps $INFERENCE_STEPS \
    --guidance_scale $GUIDANCE_SCALE \
    --use_dynamic_cfg \
    --output_dir ${OUTPUT_DIR_PREFIX}${GPU} \
    > ${LOG_DIR_PREFIX}${GPU}.log 2>&1 &
done