I found that for Qwen Image 2.1 the prompt enhancer makes a big difference.
replyIt won't bridge the gap to gpt-image-2.5 though, and it's going to slow down the process further.
With a 4090, Qwen Image 2.1 Turbo takes around 15s per image, depending on the resolution. That's without the prompt enhancer.
Configuration and maybe prompting problem in my experience. Are you doing the prompting or are you letting claude or something do it?
replyLook into r/StableDiffusion and follow their prompts and download their ComfyUI workflows.
replyThanks, 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.
replyWhat 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.
replyYou 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...
replyJust 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.