Comment by politelemon

3 years ago

Please consider posting the LoRa on civitai.com as well as the stable diffusion Reddit.

These results look pretty good, looking forward to trying it out. I hadn't realized that the generative images buzz was dying out, since I'm using it regularly I guess it is always in buzz for me.

I posted the original release to /r/StableDiffusion but all the comments are "why not compatable with A1111?" and I can't find a good script to do the conversion: https://www.reddit.com/r/StableDiffusion/comments/15r5k3i/i_...

Civitai has syndicated the LoRA: https://civitai.com/models/128708/sdxl-wrong-lora

  • You will get more users if you provide a safetensors file instead of bin and pickletensors a lot of people have gotten really scared by the malware scare that was going through social media a few months ago.

    • And for a good reason. A big hunk of floating-point numbers really shouldn't be able to execute arbitrary code. Or any code at all.

    • I would also ask that sha hashes are posted somewhere. It annoys me to know end how difficult it can be to confirm you are using the real model.

Agreed I feel like, and I do this a lot as well, people have a tendency to track their habits and assume everyone follows that. From my perspective, the gen image buzz is still as hot as ever!

If I lacked excitement for SDXL it was because it felt like the there was no massive jump in image quality to me. Sure the size doubling is great, but it also presents a problem, as I don't always want to generate 1024x1024 images. I still use third party trained 1.5 models because they create damned good outputs and I have like 5 different upscaling solutions and at least one will add new detail as things are upscaled.

  • SDXL is more resolution-agnostic than SD1x, 768x768 works fine, but admittedly going down to 512x512 does tend to produce cropped images.