Frank
1e9d921b95
Live-verified on Dankclaw 2026-08-14: - official rocm/comfyui image is built PYTORCH_ROCM_ARCH=gfx942;gfx950 (datacenter only) -> torch.cuda.is_available() False on gfx1151 - AMD gfx1151-tagged PyTorch build (rocm/vllm:...gfx1151...pytorch_2.9.1) -> avail True, Radeon 8060S, cap (11,5); needs /dev/kfd + /dev/dri - torch.backends.vulkan is compiled out of standard wheels; no ComfyUI --vulkan flag exists; Vulkan is a dead end for ComfyUI - Lemonade Server does image gen via wrapped stable-diffusion.cpp, whose HIP kernels include gfx1151 -> works where ComfyUI's torch cannot New pages: ComfyUI ROCm and Vulkan, Lemonade and sd.cpp; ComfyUI.md qualified; compose stays --cpu until a gfx1151-enabled torch image is built
58 lines
2.6 KiB
Markdown
58 lines
2.6 KiB
Markdown
# ComfyUI
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ComfyUI is a node-based AI image generation engine. Workflows are built from nodes that load models, sample latents, and post-process images; everything is scriptable through a web UI and an API.
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**Host:** Dankclaw — **Hostname:** `comfyui.dankclaw.local` — **Port:** 8188 — **Docs:** https://github.com/Comfy-Org/ComfyUI
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## Facts (from research, primary source)
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| Item | Value |
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|------|-------|
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| Image | `ghcr.io/comfyanonymous/comfyui:latest` (community CPU build) |
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| Port | 8188 (host) → 8188 (container) |
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| Models volume | bind mount to the model collection |
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| CPU flag | `--cpu` — confirmed in `cli_args.py`: "To use the CPU for everything (slow)" |
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| Known issue | ROCm wheels do not ship kernels for gfx1151 (Strix Halo) — CPU backend required |
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## Why CPU on Dankclaw
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Dankclaw is an AMD Strix Halo APU (gfx1151). Precompiled PyTorch ROCm wheels do not ship kernels for this iGPU, and the official `rocm/comfyui` image is built for datacenter archs only (`PYTORCH_ROCM_ARCH=gfx942;gfx950`). This matches the knowledge base entry: the running instance uses `--cpu`.
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> **Update (2026-08-14):** the blanket claim "ROCm unavailable on Strix Halo" is now qualified. AMD publishes gfx1151-tagged PyTorch builds that work on this hardware, and sd.cpp/Lemonade ship gfx1151 kernels today. See [[ComfyUI ROCm and Vulkan]] and [[Lemonade and sd.cpp]]. The CPU config below remains correct until a gfx1151-enabled torch image is built.
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## Command Line (from `cli_args.py`)
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| Flag | Meaning |
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|------|---------|
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| `--cpu` | use CPU for everything |
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| `--cpu-vae` | run the VAE on CPU only |
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| `--lowvram` | text encoders on CPU (dynamic VRAM default handles this) |
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| `--listen` | bind address (0.0.0.0 for LAN) |
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| `--port` | listen port (8188) |
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## Volumes
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| Container path | Host path (convention) |
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|----------------|------------------------|
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| `/workspace` | `/opt/comfyui` (models, input, output, custom_nodes) |
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## Start Fresh
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The model collection starts from scratch. The first boot creates the directory structure; models are added per the knowledge base procedure.
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## Healthcheck
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The web UI responds on the root path `/`. ComfyUI also exposes `/system_stats`.
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## Gotchas
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- Expect minutes per image on CPU; that is the documented behavior for this APU.
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- ComfyUI-Manager installs custom nodes into `custom_nodes/` — persist that directory.
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- Do not pull the CUDA image; it fails to find an NVIDIA driver.
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## See Also
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- [[Dankclaw Stack]]
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- [[ComfyUI ROCm and Vulkan]] — live-verified GPU path research
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- [[Lemonade and sd.cpp]] — the working ggml-family alternative
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- Knowledge base: [[ComfyUI]] (tools), [[ComfyUI Troubleshooting]] |