This is 8bitdiffuser! A model trained on ~2k images

This page is for the 64x model!

PLEASE when using this model, use one of the AnyLoRA forks, Qteamix, Angelbreed or Animekawa. it works best with stylized anime /cell shaded models, while it can work on many other models, it might not produce the "pixel perfect" results

When generating images scaling them down 8x will produce pixel perfect results! you can downscale them via billinear or nearest neighbor, but i have had the BEST results when using astropulse's Pixelize plugin for A1111, it is completely free and can run even on lower end devices.

make sure to use an 8X downscale factor in post processing!

• the 64x model, while a bit worse at generating even pixels, still operates greatly when downsampling images to native size, it also works much better at full body character portraits. with all v3 versions and above, high resolutions (768x and 1024x) are highly reccomended

Note for versions v4 and above! i used some filtering on the dataset, so if it gives you problems with NSFW content, use the v3 or earlier models.

Note that even doe this page specifies a 64x model, u can generate different resolutions of pixel art by just scaling the picture!

256x256 will generate a 32x32 pixel art

512x512 will generate a 64x64 pixel art

1024x1024 will generate a 128x128 pixel art

etc etc...

best settings for this LoRA is:

• Steps: 10-30 (On lower step counts, pixels will look very noisy, however if you downsample this to native pixel size this issue is resolved, increase step count if you want a great generation without downsampling)

• CFG scale: 4-10

• LoRA scale: 0.85-1.25 (the lower you will set the scale, the more it will look like traditional art and the pixels will become uneven, but the higher the scale is it will appear much noisy)

• Sampling method: DPM++ 2M SDE karras

• Recommended prompt: "pixel_art" (Add these to the start every generation, this isn't "required" but I found it gets the best results)

• Resolution: 512-1024 (on lower resolutions, the pixels will be less even, on higher ones the artifacts will be less noticeable but will take much more time)

描述:

a LOT more training data on this version, also works much better with lower LoRA scale, this version was trained on 5000 images instead of 1000.

训练词语: pixel art