I’ve been experimenting with Stable Diffusion 3.5 and discovered something incredible. The enhancement process from Large to Medium resolution using attention modification produces absolutely stunning results.
I’m working with the Film LyCORIS model and testing various upscaling methods. The quality improvement is remarkable when you apply the right attention parameters during the conversion process.
Has anyone else tried this approach? I’m curious about your experiences with different parameter settings and whether you’ve found similar quality improvements. The workflow I’m using involves specific attention adjustments that seem to preserve detail much better than standard upscaling methods.
What upscaling techniques have worked best for you with SD 3.5? I’d love to compare results and see if others have discovered similar breakthrough methods for image enhancement.
that sounds awesome! haven’t tried the film lycoris model yet, but sd 3.5 medium’s been giving me solid results. what attention parameters are you tweaking? my upscaling’s been a mess lately lol.
Hit this same issue two months back when we were testing SD 3.5 for prototype work.
That Film LyCORIS combo works great. Batch processing with consistent attention masks crushes individual images - uses more memory but the quality jump is huge.
We started doing validation passes at each stage. Check the attention maps after every modification so you don’t lose key features. Saves you from restarting whole batches when stuff breaks.
For upscaling, we built a custom pipeline that handles attention mods first, then upscales in chunks. Stops the GPU from dying on larger images and keeps detail preservation steady.
What resolutions are you using? We got weird edge cases around 2048x2048 where attention weights started messing up faces and text.
Yeah, that attention modification approach is definitely worth trying. I’ve been using SD 3.5 for months and proper attention weights during resolution changes make a huge difference in quality. The trick is gradual adjustments instead of big jumps - keeps the original image characteristics intact. Film LyCORIS responds really well to these tweaks from what I’ve seen. I usually pair this with multi-step upscaling instead of single-pass. Takes longer to process but cuts down on artifacts and keeps everything coherent across detail levels. Extra compute time is worth it most of the time.