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README.md
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README.md
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# Wan2.1 Custom Fork for Fixes/Changes
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- Fixed 81-frame-limit hard-coded.
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- Added "--batch_size" flag option for multiple videos without reloading the model.
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- Added "--variety_batch" flag option for different CFG/steps per video.
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Example prompt (1-GPU):
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```
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CFG=3
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Steps=30
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Frames=48
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Batch=10
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python generate.py \
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--task i2v-14B \
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--size 1280*720 \
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--ckpt_dir ./Wan2.1-I2V-14B-720P \
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--offload_model True \
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--t5_cpu \
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--frame_num $Frames \
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--sample_guide_scale $CFG \
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--sample_steps $Steps \
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--save_file "$(date '+%Y-%m-%d_%H-%M-%S')_wan-server_960-${Frames}f_cfg-${CFG}_steps-${Steps}.mp4" \
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--batch_size $Batch \
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--variety_batch \
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--image "image.jpg" \
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--prompt ""
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```
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Example prompt for Multi-GPU:
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```
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GPUs=8
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CFG=3
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Steps=50
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Frames=161
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Batch=30
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torchrun --nproc_per_node=$GPUs --master_port=12345 \
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generate.py \
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--task i2v-14B \
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--size 1280*720 \
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--ckpt_dir ./Wan2.1-I2V-14B-720P \
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--dit_fsdp \
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--t5_fsdp \
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--ulysses_size $GPUs \
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--ring_size 1 \
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--frame_num $Frames \
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--sample_guide_scale $CFG \
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--sample_steps $Steps \
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--save_file "$(date '+%Y-%m-%d_%H-%M-%S')_wan-server_960-${Frames}f_cfg-${CFG}_steps-${Steps}_${GPUs}-GPUs.mp4" \
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--batch_size $Batch \
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--variety_batch \
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--image "image.jpg" \
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--prompt ""
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```
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<hr >
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# Wan2.1
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# Wan2.1
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<p align="center">
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<p align="center">
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