GPUs/AMD Radeon RX 7600/Stable Diffusion XL

Can AMD Radeon RX 7600 run Stable Diffusion XL?

6.6B parameter Image Gen model on 8GB GDDR6

Yes — runs at 8-bit quantization
~2.1-2.9 img/min
SpeedFast inference, near-native speed
QualityNear-lossless — virtually identical to FP16
Stable Diffusion XL works best with NVIDIA CUDA. Your AMD GPU may have limited or no support.

VRAM Requirements

Stable Diffusion XL is a 6.6B parameter model. At full precision (FP16), it requires 16GB of VRAM. Your AMD Radeon RX 7600 has 8GB, so you'll need to quantize it to 8-bit (Q8) to fit.

FP16 (Full Precision)16GB (need 8GB more)

Maximum quality, no quantization

Q8 (8-bit)8GB (0GB free)

Near-lossless, ~50% size reduction

Q4 (4-bit)6GB (2GB free)

Good quality, ~75% size reduction

Your GPU VRAM: 8GB GDDR6 at 288 GB/s bandwidth
Recommended system RAM: 32GB DDR5 (2x GPU VRAM minimum for model overflow)

What This Means in Practice

Stable Diffusion XL at 8-bit precision on AMD Radeon RX 7600 produces images virtually identical to full precision. Generation speed is fast and you'll have some VRAM headroom for larger batch sizes or higher resolutions.

How to Set It Up

Step 1: Install ComfyUI

git clone https://github.com/comfyanonymous/ComfyUI.git && cd ComfyUI && pip install -r requirements.txt

ComfyUI is the recommended UI for Stable Diffusion and FLUX models.

Step 2: Download the model

Download Stable Diffusion XL weights from HuggingFace and place them in ComfyUI/models/. The model is approximately 16GB at full precision.

Step 3: Launch and generate

python main.py

Open http://localhost:8188 in your browser. You can use the full precision weights.

AMD Radeon RX 7600 Specs

VRAM8GB GDDR6
Memory Bandwidth288 GB/s
TDP165W
CUDA CoresN/A
Street Price~$240
AI Rating1/10

Other Image Gen Models on AMD Radeon RX 7600

About Stable Diffusion XL

Workhorse image gen model. 8GB minimum, 12GB+ recommended.

Category: Image Gen · Parameters: 6.6B · CUDA required: Recommended