fix(mcp-image-gen): merge HF authenticated download fix

mcp/mcp-image-gen/USAGE.md

@@ -53,17 +53,48 @@ pip install torch torchvision --index-url https://download.pytorch.org/whl/rocm6
 
 FLUX.1-schnell is the recommended model — fast (4 steps), Apache 2.0 licensed, excellent quality.
 
-```bash
+> ⚠️ **FLUX.1-schnell is a gated model on HuggingFace.**
-# Download (~8GB) — place in ComfyUI/models/checkpoints/
+> A bare `wget` on the URL returns HTTP 401. You must:
-wget https://huggingface.co/black-forest-labs/FLUX.1-schnell/resolve/main/flux1-schnell.safetensors \
+> 1. Accept the license at https://huggingface.co/black-forest-labs/FLUX.1-schnell (click **"Agree and access repository"** — one-time)
-     -O ~/ComfyUI/models/checkpoints/flux1-schnell.safetensors
+> 2. Create a HuggingFace access token with **Read** permissions at https://huggingface.co/settings/tokens
 
-# Or use huggingface_hub:
+#### Option A — `huggingface-cli` (recommended)
+
+```bash
+# Install the HuggingFace Hub CLI
+pip install huggingface_hub
+
+# Log in — paste your Read token when prompted
+huggingface-cli login
+
+# Download (~8GB) directly into ComfyUI checkpoints
 huggingface-cli download black-forest-labs/FLUX.1-schnell \
     flux1-schnell.safetensors \
     --local-dir ~/ComfyUI/models/checkpoints/
 ```
 
+#### Option B — `wget` with Authorization header
+
+```bash
+wget --header="Authorization: Bearer hf_YOUR_TOKEN_HERE" \
+  https://huggingface.co/black-forest-labs/FLUX.1-schnell/resolve/main/flux1-schnell.safetensors \
+  -O ~/ComfyUI/models/checkpoints/flux1-schnell.safetensors
+```
+
+> Replace `hf_YOUR_TOKEN_HERE` with your actual HuggingFace token from https://huggingface.co/settings/tokens
+
+#### Alternative: fp8 quantized variant (~8.1GB, faster inference)
+
+If you want slightly faster inference with near-identical quality, the fp8 quantized version is also available:
+
+```bash
+huggingface-cli download black-forest-labs/FLUX.1-schnell-fp8 \
+    flux1-schnell-fp8.safetensors \
+    --local-dir ~/ComfyUI/models/checkpoints/
+```
+
+> **Download note:** Both variants are ~8GB — expect 10–30 minutes depending on connection speed.
+
 You'll also need the CLIP and VAE models — see the [ComfyUI FLUX guide](https://github.com/comfyanonymous/ComfyUI/blob/master/README.md) for full model list.
 
 ### Start ComfyUI (AMD ROCm)