Patrick Plate
dabdda167f
- Extract all wiki content from create_wiki_pages.py into docs/wiki/pages/*.md - Add docs/wiki/deploy_wiki.sh: copies pages to wiki/ repo, commits, pushes - Add /wiki/ to .gitignore (anchored — does not affect docs/wiki/) - 12 pages: Home, MCP-Servers-Overview, mcp-image-gen, ComfyUI-Setup, mcp-webscraper (8 tools incl. search_hint), BigMind (schema v8), Development-Conventions, Java-Projects, Java-wellmann-shop, Java-mss-failsafe, Java-Architecture, _Sidebar - Workflow: edit docs/wiki/pages/*.md → ./docs/wiki/deploy_wiki.sh
113 lines
3.1 KiB
Markdown
113 lines
3.1 KiB
Markdown
# ⚙️ ComfyUI Setup Guide (AMD ROCm)
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This guide covers installing ComfyUI with FLUX.1-schnell on a Fedora Linux system with an AMD GPU.
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## Prerequisites
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- AMD GPU with ROCm support (tested: RX 7900 XTX)
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- Fedora Linux (tested: Fedora 43 / kernel 6.19)
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- Python 3.11+
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- ~15GB free disk space (model weights)
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- HuggingFace account with FLUX license accepted
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## Step 1: Install ComfyUI
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ComfyUI is **not on PyPI** — must be cloned from source:
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```bash
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cd ~
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git clone https://github.com/comfyanonymous/ComfyUI
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cd ComfyUI
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python -m venv .venv
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source .venv/bin/activate
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# Install PyTorch ROCm build (CRITICAL for AMD GPUs)
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pip install torch torchvision --index-url https://download.pytorch.org/whl/rocm6.2
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# Install ComfyUI dependencies
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pip install -r requirements.txt
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```
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## Step 2: Download FLUX.1-schnell
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FLUX.1-schnell is **gated on HuggingFace** — you must:
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1. Create a HuggingFace account
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2. Accept the FLUX.1-schnell license at https://huggingface.co/black-forest-labs/FLUX.1-schnell
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3. Generate an access token at https://huggingface.co/settings/tokens
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```bash
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# Install huggingface_hub
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pip install huggingface_hub
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# Download model (requires HF token)
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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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--token YOUR_HF_TOKEN_HERE
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```
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## Step 3: Download VAE and CLIP Models
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FLUX.1-schnell also requires VAE and CLIP text encoders:
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```bash
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# VAE
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huggingface-cli download black-forest-labs/FLUX.1-schnell \
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ae.safetensors \
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--local-dir ~/ComfyUI/models/vae
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# CLIP models (T5 and CLIP-L)
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huggingface-cli download comfyanonymous/flux_text_encoders \
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t5xxl_fp8_e4m3fn.safetensors clip_l.safetensors \
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--local-dir ~/ComfyUI/models/clip
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```
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## Step 4: Start ComfyUI
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```bash
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cd ~/ComfyUI
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# AMD GPU REQUIRES this environment variable
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HSA_OVERRIDE_GFX_VERSION=11.0.0 \
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nohup .venv/bin/python main.py --listen --port 8188 > /tmp/comfyui.log 2>&1 &
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echo "ComfyUI PID: $!"
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```
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> ⚠️ `HSA_OVERRIDE_GFX_VERSION=11.0.0` is mandatory for RX 7900 XTX on ROCm. Without it, model loading fails silently.
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## Step 5: Verify ComfyUI is Running
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```bash
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curl http://localhost:8188/system_stats
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# Should return JSON with GPU info
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```
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## Step 6: Configure mcp-image-gen
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```bash
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cd /home/pplate/pi_mcps/mcp/mcp-image-gen
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# Environment variables (set in .roo/mcp.json or shell):
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# COMFYUI_URL=http://localhost:8188
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# IMAGE_OUTPUT_DIR=~/Pictures/mcp-generated
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# COMFYUI_TIMEOUT=120
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```
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## Performance
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| GPU | Model | Resolution | Steps | Time |
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|---|---|---|---|---|
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| AMD RX 7900 XTX | FLUX.1-schnell | 1024×1024 | 4 | ~8s |
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| AMD RX 7900 XTX | FLUX.1-schnell | 1280×512 | 4 | ~7s |
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## Troubleshooting
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| Problem | Solution |
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| `HTTP 401` downloading model | Accept FLUX license on HuggingFace first |
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| GPU not detected | Ensure `HSA_OVERRIDE_GFX_VERSION=11.0.0` is set |
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| `Connection refused` from mcp-image-gen | Start ComfyUI first, check port 8188 |
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| Slow generation (>60s) | ComfyUI may be running on CPU — check ROCm install |
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| Ollama image gen | As of April 2026: macOS-only, not available on Linux |
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