Upload download_models.sh

scripts/download_models.sh

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+#!/bin/bash
+
+# ================= CONFIGURATION =================
+# Replace with your actual Hugging Face Token
+HF_TOKEN="hf_YOUR_ACTUAL_TOKEN_HERE"
+
+BASE_DIR="/workspace/runpod-slim/ComfyUI"
+REPO_ID="iamgroot1212/comfyui-setup"
+MINIMAX_ID="Comfy-Org/MiniMax-H3"
+MINIMAX_LORA_ID="larryvrh/MiniMax-H3-Turbo-Lora"
+
+# ComfyUI Target Folders
+DIFFUSION_DIR="$BASE_DIR/models/diffusion_models"
+CHECKPOINT_DIR="$BASE_DIR/models/checkpoints"
+TEXT_ENCODER_DIR="$BASE_DIR/models/text_encoders"
+VAE_DIR="$BASE_DIR/models/vae"
+LORA_DIR="$BASE_DIR/models/loras"
+
+apt update && apt install rar unrar -y
+apt update && apt install zip -y
+
+# ================= SETUP =================
+echo "🚀 Starting direct download from $REPO_ID..."
+
+# Create input/output directories
+mkdir -p "$BASE_DIR/input/images" "$BASE_DIR/output/images" "$BASE_DIR/output/videos"
+
+# ================= DOWNLOADS =================
+
+# 1. Download ZIT models (diffusion-model)
+echo "⬇️ Downloading ZIT models..."
+hf download "$REPO_ID" --include "diffusion-model/*ZIT*.safetensors" --local-dir "$DIFFUSION_DIR" --token "$HF_TOKEN"
+
+# 2. Download Qwen models (text-encoder)
+echo "⬇️ Downloading Qwen text encoders..."
+hf download "$REPO_ID" --include "text-encoder/*qwen*.safetensors" --local-dir "$TEXT_ENCODER_DIR" --token "$HF_TOKEN"
+
+# 3. Download specific VAEs
+echo "⬇️ Downloading specific VAEs..."
+hf download "$REPO_ID" --include "vae/ae.safetensors" --local-dir "$VAE_DIR" --token "$HF_TOKEN"
+hf download "$REPO_ID" --include "vae/ultra_flux.safetensor" --local-dir "$VAE_DIR" --token "$HF_TOKEN"
+
+
+
+# 4. Download Qwen-Rapid-AIO-NSFW-v23 to Checkpoints
+echo "⬇️ Downloading Qwen-Rapid-AIO-NSFW-v23..."
+hf download "$REPO_ID" "diffusion-model/Qwen-Rapid-AIO-NSFW-v23.safetensors" --local-dir "$CHECKPOINT_DIR" --token "$HF_TOKEN"
+
+# 5. Download MiniMax H3 to Models
+echo "⬇️ Downloading MiniMax-H3 R2V & FL2V Models..."
+hf download "$MINIMAX_ID" --include "diffusion_models/minimax_h3_fl2va_pruned_bf16.safetensors" --local-dir "$DIFFUSION_DIR" --token "$HF_TOKEN"
+hf download "$MINIMAX_ID" --include "diffusion_models/minimax_h3_ref2va_pruned_bf16.safetensors" --local-dir "$DIFFUSION_DIR" --token "$HF_TOKEN"
+hf download "$MINIMAX_ID" --include "text_encoders/qwen3vl_32b_minimax_h3_bf16.safetensors" --local-dir "$TEXT_ENCODER_DIR" --token "$HF_TOKEN"
+hf download "$MINIMAX_ID" --include "vae/minimax_h3_video_vae_fp16.safetensors" --local-dir "$VAE_DIR" --token "$HF_TOKEN"
+hf download "$MINIMAX_ID" --include "vae/minimax_h3_audio_vae_fp32.safetensors" --local-dir "$VAE_DIR" --token "$HF_TOKEN"
+hf download "$MINIMAX_LORA_ID" --include "minimax_h3_turbo_4step.safetensors" --local-dir "$LORA_DIR" --token "$HF_TOKEN"
+
+
+# ================= ORGANIZE & CLEANUP =================
+echo "📂 Flattening directory structure..."
+
+# Function to flatten a directory: moves files from subdirs to root and removes subdirs
+flatten_dir() {
+    local target="$1"
+    
+    # Move all files from subdirectories (mindepth 2) to target root
+    # Handles nested directories and spaces in filenames correctly
+    find "$target" -mindepth 2 -type f -exec mv -t "$target" {} + 2>/dev/null
+    
+    # Remove all empty directories under target (deepest first)
+    find "$target" -mindepth 1 -depth -type d -empty -delete 2>/dev/null
+}
+
+# Apply flattening to all target folders
+flatten_dir "$DIFFUSION_DIR"
+flatten_dir "$TEXT_ENCODER_DIR"
+flatten_dir "$VAE_DIR"
+flatten_dir "$CHECKPOINT_DIR"
+
+# Remove residual .cache/huggingface metadata folders created by the tool
+find "$BASE_DIR/models" -type d -name ".cache" -exec rm -rf {} + 2>/dev/null || true
+
+echo "✅ Done! All files downloaded and organized in $BASE_DIR"