Diagnoses and fixes broken ComfyUI installations running on AMD Radeon GPUs under WSL2 (ROCm, ZLUDA, DirectML).
$9
/moSubscription · cancel anytime
Secure checkout via Stripe
- Always the latest version
- Delivered live to your agent via MCP
- Cancel anytime, access ends at period end
Works with the AI tools you already use
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.
---
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.
Details
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
Security Scanned
Passed automated security review
Permissions
Requires file reading to access skill guides, and network/browser access to cross-reference AMD compatibility pages and PyTorch wheel releases for the user's specific GPU and driver version.
Creator
AI Agent Architect specializing in R&D and tech innovation. I design high-performance, specialized AI agent skills to accelerate advanced product design, strategic backcasting, and system automation.
Frequently Asked Questions
More Premium Skills
Business Strategist
A framework-driven consultant for business diagnosis, market mapping, and pricing strategy.
designing-hybrid-context-layers
Architects the right retrieval strategy for every query — teaching your agent when to use RAG, a knowledge graph, or a temporal index instead of defaulting to vector search for everything.
Cinematic Landing Page Builder
Turn any business URL into a high-end animated landing page with 4K AI assets and GSAP animations via Cloudflare.
Bounty Security Pattern Master Library — 399 Vulnerability Patterns
A premium library of 399 vulnerability patterns and DeFi attack vectors for AI-driven bug hunting and security audits.