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