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Upload training/scripts/cache_quick.sh with huggingface_hub

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  1. training/scripts/cache_quick.sh +2 -2
training/scripts/cache_quick.sh CHANGED
@@ -14,7 +14,7 @@ echo "=== latent cache ($CFG) ==="
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  python src/musubi_tuner/minimax_h3_cache_latents.py \
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  --dataset_config "$CFG" \
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  --vae "$M/vae/minimax_h3_video_vae_fp16.safetensors" \
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- --device cuda --batch_size 4 --num_workers 8 \
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  --skip_existing --keep_cache
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  echo "=== text encoder cache (task i2va, guidance empty) ==="
@@ -23,7 +23,7 @@ python src/musubi_tuner/minimax_h3_cache_text_encoder_outputs.py \
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  --text_encoder "$M/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors" \
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  --text_encoder_quantization nvfp4_awq \
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  --task i2va --cache_guidance_empty \
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- --device cuda --batch_size 4 --num_workers 8 \
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  --skip_existing --keep_cache
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  echo "=== cache sizes ==="
 
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  python src/musubi_tuner/minimax_h3_cache_latents.py \
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  --dataset_config "$CFG" \
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  --vae "$M/vae/minimax_h3_video_vae_fp16.safetensors" \
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+ --device cuda --batch_size 12 --num_workers 12 \
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  --skip_existing --keep_cache
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  echo "=== text encoder cache (task i2va, guidance empty) ==="
 
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  --text_encoder "$M/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors" \
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  --text_encoder_quantization nvfp4_awq \
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  --task i2va --cache_guidance_empty \
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+ --device cuda --batch_size 12 --num_workers 12 \
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  --skip_existing --keep_cache
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  echo "=== cache sizes ==="