Joy CLIP
Read the Guide
Note: The base CLIP-L does not show the stark improvement like the PONY CLIP models and may improve NSFW in some cases but not the 90+% like pony
Using the CLIP in FP32 is recommended
Comfy UI --fp32-text-enc (Or use the the linked above)
Forge/Auto1111 --clip-in-fp32 (Or use the the linked above)
Checkpoints with FP32 JoyCLIP built are hosted on HuggingFace they have not been altered except for the clip and the metadata includes attribution and license. These include:
CyberRealistic, PonyRealism, RealismbyStableYogi
Joy CLIP is the culmination of 100's of hours of training using 50KwH
I do not consider a clip training to be successful unless out of 100 images the new clip (Joy) does not have seed to failure more then 5 times.
A failure being a deformity, dual limb, something major wrong and the old clip does not have that issue.
In that same 100 images the new clip (Joy) should show major improvement on 10-20 images out of 100, and minor improvement on 20-50.
In most cases 90%+ Joy CLIP improves prompt accuracy, when accuracy is effected. Rarely 2% or less Standard CLIP outperforms JoyCLIP in hand accuracy or some other visual metric.
I achieved these results on PONY, however FLUX and the Video models remain untested. As this requires 1000's of generations to average.
License: MIT License
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