GPUs/AMD Radeon RX 7600/Stable Diffusion 3.5 Large

Can AMD Radeon RX 7600 run Stable Diffusion 3.5 Large?

8B parameter Image Gen model on 8GB GDDR6

Yes — runs at 4-bit quantization
~2.4-3.3 img/min
SpeedModerate speed, usable for interactive chat
QualityGood quality with slight degradation on complex reasoning
Stable Diffusion 3.5 Large works best with NVIDIA CUDA. Your AMD GPU may have limited or no support.

VRAM Requirements

Stable Diffusion 3.5 Large is a 8B parameter model. At full precision (FP16), it requires 18GB of VRAM. Your AMD Radeon RX 7600 has 8GB, so you'll need to quantize it to 4-bit (Q4) to fit.

FP16 (Full Precision)18GB (need 10GB more)

Maximum quality, no quantization

Q8 (8-bit)10GB (need 2GB more)

Near-lossless, ~50% size reduction

Q4 (4-bit)7GB (1GB 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

At 4-bit precision, Stable Diffusion 3.5 Large fits in VRAM but generation will be slower and you may need to limit resolution or batch size. Image quality is generally preserved at Q4, but very complex compositions may show minor artifacts.

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 3.5 Large weights from HuggingFace and place them in ComfyUI/models/. The model is approximately 18GB at full precision.

Step 3: Launch and generate

python main.py

Open http://localhost:8188 in your browser. Use the FP8/NF4 quantized version for your VRAM.

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 3.5 Large

Latest SD architecture. Better quality than SDXL, slightly more VRAM hungry.

Category: Image Gen · Parameters: 8B · CUDA required: Recommended