Upload configs/cache_smoothloopv3.sh with huggingface_hub

configs/cache_smoothloopv3.sh

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+#!/usr/bin/env bash
+# Cache de latentes e de text-encoder, SERIAL na mesma GPU.
+# Paralelo entre as duas etapas piora ambas (medido no historico).
+set -Eeuo pipefail
+PIN=ede9ed9f769d605db32d37e32243d4c979f9eee3
+: "${TRAINER_DIR:=/workspace/projects/musubi-tuner}"
+: "${VENV:=/venv/main}"
+: "${MODEL_DIR:=/workspace/models/MiniMax-H3}"
+: "${DATASET_CONFIG:?caminho absoluto do TOML de CACHE}"
+: "${TASK:=i2va}"
+: "${CACHE_BATCH:=24}"
+: "${CACHE_WORKERS:=16}"
+[[ "$TASK" == i2va || "$TASK" == fl2va ]] || { echo "use i2va ou fl2va revisado" >&2; exit 2; }
+source "$VENV/bin/activate"
+cd "$TRAINER_DIR"
+[[ "$(git rev-parse HEAD)" == "$PIN" ]] || { echo "pin do trainer errado" >&2; exit 2; }
+[[ -s "$DATASET_CONFIG" ]] || { echo "config ausente" >&2; exit 2; }
+
+echo "=== [1/2] latentes ==="
+python src/musubi_tuner/minimax_h3_cache_latents.py \
+  --dataset_config "$DATASET_CONFIG" \
+  --vae "$MODEL_DIR/vae/minimax_h3_video_vae_fp16.safetensors" \
+  --device cuda --batch_size "$CACHE_BATCH" --num_workers "$CACHE_WORKERS" \
+  --skip_existing --keep_cache
+
+echo "=== [2/2] text encoder ==="
+python src/musubi_tuner/minimax_h3_cache_text_encoder_outputs.py \
+  --dataset_config "$DATASET_CONFIG" \
+  --text_encoder "$MODEL_DIR/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors" \
+  --text_encoder_quantization nvfp4_awq --task "$TASK" --cache_guidance_empty \
+  --device cuda --batch_size "$CACHE_BATCH" --num_workers "$CACHE_WORKERS" \
+  --skip_existing --keep_cache
+echo "=== cache concluido ==="