Comment by turbobutton
2 hours ago
Related question: Whenever I try to run Image generation locally, be it with Flux or Qwen, I seem to be getting results that are about 1-2 years behind what ChatGPT can produce today - and take up to 5 minutes for a single image. Is this a hardware problem (running it on a decent windows gaming PC), a configuration problem or just the reality of what local models can deliver at the moment on consumer hardware?
You can get results a billion times better than the horrible, disgusting look of ChatGPT in less than a couple of seconds with a model like Krea or MOSS, and ComfyUI. With just a 8GB VRAM GPU or so...
Just visit Civitai, look at the pages for the base models, filter for images with the ComfyUI workflow in them, then you can just download and drag and drop them onto your local ComfyUI app.
Look into r/StableDiffusion and follow their prompts and download their ComfyUI workflows.
Thanks, I've done that, but with mixed results. I've also tried comfyui wrappers and alternatives that try to hide the complexity and just set sensible defaults, but I'm beginning to suspect its ultimately a consumer hardware vs million dollar NVidia server question.
What are you trying to generate? I've also noticed that local models aren't as good as cloud models due to hardware but there are still ways of optimizing the process.