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kundaja-green
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·
64dddc1
1
Parent(s):
a723a7c
Update start.sh to use correct model filenames from dedicated repo
Browse files
start.sh
CHANGED
@@ -1,55 +1,46 @@
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#!/bin/bash
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# --- Final Definitive Startup Script (v23.2 -
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set -e
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echo "--- Startup Script Initialized ---"
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#
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MODELS_DIR="/data/models"
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# --- Define paths to the model files
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DIT_PATH="$MODELS_DIR/wan2.1_i2v_720p_14B_fp8_e4m3fn.safetensors"
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VAE_PATH="$MODELS_DIR/Wan2.1_VAE.pth"
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CLIP_PATH="$MODELS_DIR/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth"
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T5_PATH="$MODELS_DIR/models_t5_umt5-xxl-enc-bf16.pth"
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OUTPUT_DIR="/data/output"
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# --- Download models from our dedicated model repo IF they don't already exist ---
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echo "--- Checking for model files... ---"
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if [ ! -f "$DIT_PATH" ]; then
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echo "Downloading DiT model
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huggingface-cli download jujutechnology/WANfortraining wan2.1_i2v_720p_14B_fp8_e4m3fn.safetensors --local-dir $MODELS_DIR --local-dir-use-symlinks False
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else
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echo "DiT model already exists."
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fi
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if [ ! -f "$VAE_PATH" ]; then
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echo "Downloading VAE model
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huggingface-cli download jujutechnology/WANfortraining Wan2.1_VAE.pth --local-dir $MODELS_DIR --local-dir-use-symlinks False
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else
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echo "VAE model already exists."
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fi
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if [ ! -f "$CLIP_PATH" ]; then
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echo "Downloading CLIP model
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# CORRECTED FILENAME in download command
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huggingface-cli download jujutechnology/WANfortraining models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth --local-dir $MODELS_DIR --local-dir-use-symlinks False
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else
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echo "CLIP model already exists."
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fi
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if [ ! -f "$T5_PATH" ]; then
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echo "Downloading T5 model
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# CORRECTED FILENAME in download command
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huggingface-cli download jujutechnology/WANfortraining models_t5_umt5-xxl-enc-bf16.pth --local-dir $MODELS_DIR --local-dir-use-symlinks False
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else
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echo "T5 model already exists."
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fi
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echo "--- All models are present. Starting training... ---"
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ls -lh $MODELS_DIR
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# --- Run the training command ---
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accelerate launch wan_train_network.py \
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#!/bin/bash
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# --- Final Definitive Startup Script (v23.2 - Assumes Persistent Storage is enabled) ---
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set -e
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echo "--- Startup Script Initialized ---"
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# This path is correct ONLY if persistent storage is enabled at /data
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MODELS_DIR="/data/models"
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OUTPUT_DIR="/data/output"
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# Create our subdirectories inside the persistent storage
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mkdir -p $MODELS_DIR
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mkdir -p $OUTPUT_DIR
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# --- Define paths to the model files ---
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DIT_PATH="$MODELS_DIR/wan2.1_i2v_720p_14B_fp8_e4m3fn.safetensors"
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VAE_PATH="$MODELS_DIR/Wan2.1_VAE.pth"
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CLIP_PATH="$MODELS_DIR/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth"
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T5_PATH="$MODELS_DIR/models_t5_umt5-xxl-enc-bf16.pth"
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# --- Download models from our dedicated model repo IF they don't already exist ---
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echo "--- Checking for model files in persistent storage... ---"
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if [ ! -f "$DIT_PATH" ]; then
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echo "Downloading DiT model..."
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huggingface-cli download jujutechnology/WANfortraining wan2.1_i2v_720p_14B_fp8_e4m3fn.safetensors --local-dir $MODELS_DIR --local-dir-use-symlinks False
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fi
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# ... (rest of the download checks are the same) ...
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if [ ! -f "$VAE_PATH" ]; then
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echo "Downloading VAE model..."
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huggingface-cli download jujutechnology/WANfortraining Wan2.1_VAE.pth --local-dir $MODELS_DIR --local-dir-use-symlinks False
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fi
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if [ ! -f "$CLIP_PATH" ]; then
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echo "Downloading CLIP model..."
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huggingface-cli download jujutechnology/WANfortraining models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth --local-dir $MODELS_DIR --local-dir-use-symlinks False
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fi
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if [ ! -f "$T5_PATH" ]; then
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echo "Downloading T5 model..."
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huggingface-cli download jujutechnology/WANfortraining models_t5_umt5-xxl-enc-bf16.pth --local-dir $MODELS_DIR --local-dir-use-symlinks False
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fi
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echo "--- All models are present. Starting training... ---"
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ls -lh $MODELS_DIR
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# --- Run the training command ---
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accelerate launch wan_train_network.py \
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