ComfyUI AMD WSL2 Doctor
Diagnoses and fixes broken ComfyUI installations running on AMD Radeon GPUs under WSL2 (ROCm, ZLUDA, DirectML).
$50
Works with the AI tools you already use
Claude Code
Cursor
Codex CLI
Muse
Dots+22 moreClaude CodeCursorCodex CLIMuseDots
OpenClaw
Manus
Grok
Grok Bot+18 agentsComfyUI AMD WSL2 Doctor
Example session with this skill installed
My ComfyUI was working yesterday, but now I get 'RuntimeError: Found no NVIDIA driver' even though I'm using an AMD 7900XTX on WSL2. Help.
- Read your context and instructions
- Compiled the comfyui amd wsl2
The WSL2 passthrough layer is likely broken or the ROCm kernel isn't visible to PyTorch. Run this to check visibility:
python3 -c "import torch; print(torch.cuda.is_available())"
If it returns False, paste the output of 'ls -l /dev/kfd' so I can check your hardware permissions.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
To start, simply import this skill package into your AI agent environment and instruct your agent:
"Load the skill defined in SKILL.md and help me diagnose my ComfyUI AMD setup."
The agent will actively guide you to isolate which layer is failing. When troubleshooting, it will prompt you:
- To paste the exact traceback or describe the symptom (e.g. black images, OOM crash, GPU not found).
- To run targeted diagnostic commands (one at a time) to identify the root cause.
- To confirm before executing any package reinstallation or modification.
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About ComfyUI AMD WSL2 Doctor
ComfyUI AMD WSL2 Doctor is a production-grade diagnostic skill package designed to help developers, creators, and AI artists running ComfyUI on AMD Radeon GPUs inside WSL2 (Windows Subsystem for Linux).
AMD Radeon support under WSL2 is highly fragile because it sits at the intersection of Windows GPU drivers, WSL2 passthrough layers, ROCm/HIP runtimes, and PyTorch ROCm wheels. A single update to any of these components can silently break your entire image generation pipeline.
This skill provides your AI agent with a specialized, step-by-step diagnostic framework. It avoids broad "reinstall everything" suggestions and instead isolates the exact failure point across your system layers within minutes.
Key Highlights:
- Precise Layer Isolation: Determines whether the failure lies in the Windows WDDM driver, WSL2's DXG bridge, system ROCm libraries, PyTorch wheels, or custom node dependencies.
- Custom Node Protection: Provides strategies to pin PyTorch version using constraints, preventing ComfyUI Manager or custom node installers from overwriting your ROCm build with a CPU or CUDA version.
- Numerical Precision Fixing: Addresses AMD-specific NaN/black image bugs caused by bfloat16 to numpy conversions and recommends targeted FP32 workarounds.
- VRAM & Memory Tuning: Solves WSL2 RAM caps and PyTorch allocator limits that trigger Out-of-Memory crashes even on high-VRAM setups.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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- Passed all security checks, Safe to install