How to Set Up Stable Diffusion on Fedora KDE with AMD ROC...

How to Set Up Stable Diffusion on Fedora KDE with AMD ROCm in 2026

Running Stable Diffusion locally on Linux with AMD GPUs has never been easier—especially on Fedora KDE 43. In 2026, AMD’s ROCm stack offers robust support for Radeon and Ryzen users, making local AI image generation a realistic alternative to cloud services. This guide walks you through a proven, community-tested setup using ComfyUI, ensuring compatibility and stability.

Prerequisites: Hardware and System Readiness

• AMD Ryzen 5 7600X or newer CPU
• AMD Radeon RX 7600 XT or compatible ROCm-supported GPU
• Fedora KDE 43 (64-bit) installed
• Minimum 16GB RAM recommended

Before proceeding, verify your GPU is listed on AMD’s official ROCm support matrix. Integrated graphics like AMD Raphael may cause conflicts—disable them in BIOS if needed.

Step 1: Configure User Permissions for GPU Access

Grant your user account access to GPU rendering resources with this command:

sudo usermod -a -G render,video $LOGNAME

After running this, log out and back in—or reboot—to apply group changes. Skipping this step is the most common cause of ROCm initialization failures.

Step 2: Install AMD ROCm via DNF

Fedora’s package manager makes ROCm installation effortless:

sudo dnf install rocm

Verify installation with:

rocminfo

Look for your GPU model and ROCm version (e.g., 7.1). If output shows your hardware, you’re ready for Python setup.

Step 3: Set Up Python 3.13 in a Virtual Environment

Fedora KDE 43 ships with Python 3.14, but ComfyUI requires 3.13. Install it cleanly:

sudo dnf install python3.13
python3.13 -m venv comfy_venv
source comfy_venv/bin/activate

This isolates dependencies and avoids system conflicts—a critical best practice for Linux AI setups.

Step 4: Install PyTorch for ROCm 7.1

Use AMD’s official PyTorch wheel to ensure compatibility:

python -m pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm7.1

Important: Always check ComfyUI’s GitHub for the latest ROCm version. Using an outdated index URL will break your setup.

Step 5: Deploy ComfyUI and Generate Your First Image

Clone and launch ComfyUI:

git clone https://github.com/comfyanonymous/ComfyUI
cd ComfyUI
python main.py

Open your browser to http://127.0.0.1:8188. Download models like SDXL or DreamShaper from Hugging Face and load them via the UI. Your first AI-generated image should appear within minutes.

Final Tips and Advanced Options

• Use HSA_OVERRIDE_GFX_VERSION=9.0.0 if you have mixed AMD GPUs.
• For persistent background access, consider wrapping ComfyUI in a systemd service.
• Back up your models and settings regularly—these files are irreplaceable.

This setup, validated on Fedora KDE 43 in early 2026, delivers a stable, high-performance AI workflow. Unlike Ubuntu or Mint, Fedora’s rolling updates and kernel support make it ideal for ROCm-based AI development. For more on Fedora GPU drivers, see our guide on Optimizing AMD Drivers on Fedora.