24 lines
1.4 KiB
Bash
24 lines
1.4 KiB
Bash
# Example: Running inference with 2-GPU parallelism
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# CUDA_VISIBLE_DEVICES=0,1 torchrun --nproc_per_node 2 infer_helios.py \
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# --enable_parallelism \
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# --cp_backend "ulysses" \ # ["ring", "ulysses", "unified", "ulysses_anything"]
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CUDA_VISIBLE_DEVICES=0 python infer_helios.py \
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--base_model_path "BestWishYsh/Helios-Base" \
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--transformer_path "BestWishYsh/Helios-Base" \
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--sample_type "v2v" \
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--num_frames 99 \
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--fps 24 \
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--video_path "example/car.mp4" \
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--prompt "A bright yellow Lamborghini Huracn Tecnica speeds along a curving mountain road, surrounded by lush green trees under a partly cloudy sky. The car's sleek design and vibrant color stand out against the natural backdrop, emphasizing its dynamic movement. The road curves gently, with a guardrail visible on one side, adding depth to the scene. The motion blur captures the sense of speed and energy, creating a thrilling and exhilarating atmosphere. A front-facing shot from a slightly elevated angle, highlighting the car's aggressive stance and the surrounding greenery." \
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--guidance_scale 5.0 \
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--enable_compile \
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--output_folder "./output_helios/helios-base"
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# --enable_low_vram_mode \
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# --group_offloading_type "leaf_level" \ # ["leaf_level", "block_level"]
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# --num_blocks_per_group
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# --use_cfg_zero_star \
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# --use_zero_init \
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# --zero_steps 1 \ |