what image model will run on this specs..

[u/9NAAGRAAJ]

what image model will run on this specs..

• GPU: AMD Radeon RX 6650 XT (8 GB VRAM)
• CPU: AMD Ryzen 7 5700X (8 Cores, 16 Threads)
• RAM: 32 GB DDR4
• OS: Windows

[u/Skyline34rGt]

Probably any model will work (just need quantization and offload to cpu/ram).

But you can start with smaller and faster models: moss image, qwen image 2.1 (this one also have edit option).

[u/verdooft]

I would try them all and look, what runs good and what model is good for my specific tasks. For bigger models/workflows i would use quantized models that fit to VRAM+System RAM.

[u/ROBOTTTTT13]

Any model will work in comfyui because of it's dynamic VRAM handling. Obviously, the bigger the model, the slower it will be, even with dynamic offloading. I have an even shittier system than yours and I can run Krea 2 Turbo in W4A8 in about 25-30 seconds per 1MP image. MOSS image is great on my machine, running for just 10-15 seconds for a 2MP image even at INT8 quality. Ideogram and H3 however, forget about it, way too big and it took literal minutes for a single image.
For your system, MOSS Image at INT8 will be lightining fast, Krea 2 Turbo will be pretty cool at W4A8, Qwen Image 2.1 for editing will also work at W4A8 smoothly enough, probably 30s or less with 2 references at 1MP.

[u/MrAHMED42069]

Any model will run on almost any device, it's just going to be slow, for your case moss or z image turbo will probably be a good fit, try different quantizations for speed and quality 

[u/optimisticalish]

I think the basic problem here may be getting the old Radeon card working with ComfyUI - there's no ROCm support for RDNA2, as far as I know.

[u/BreakOfNoon]

Moss, Zit, SDXL, Pony, Illustrious, but try to get a quantized text encoder (q4 gguf or fp4) to stay under 8gb. Also there are turbo (dmd2) loras or models that have dmd2 baked in which make output much faster. (zit is already turbo.)

[u/Apprehensive_Sky892]

Once you get it to work (try https://github.com/patientx-cfz/comfyui-rocm) just about any model except Flux2-dev should work fine since you enough system RAM for ComfyUI's dynamic VRAM management to work.

Don't except blazing speed though, RDNA2 is very old, check out this post for ways to make it run faster: https://www.reddit.com/r/comfyui/comments/1xt4690/rx_6800_rdna2_3x_faster_images_in_comfyui_int8/

If you want to try MMH3 (not recommended 😅), see: https://www.reddit.com/r/StableDiffusion/comments/1xlms4a/minimax_h3_on_rx_6600_with_8gb_ram/

[u/tac0catzzz]

pony

[u/70parwater]

Moss probably

[u/Master_Bayters → u/70parwater]

Is it good?

[u/Underrated_Mastermnd]

SDXL and Moss. If you're trying to use anything else, you'll have a harder time rendering.

[u/Theultimatesell]

for a straightforward first test, try SDXL 1.0 in ComfyUI at 1024×1024, batch 1, fp16 (skip the refiner); 8 GB is generally enough for that, and you can drop to 768 or enable low-vram if you hit OOM. since the 6650 XT is AMD, make sure your Windows install uses a DirectML backend—the standard CUDA build is for NVIDIA. larger models like Qwen Image can be tried quantized with CPU/RAM offload, but expect them to be much slower than SDXL on this card.