<h1 id="joy-clip-v3oek3cgg">Joy CLIP</h1><h2 id="read-the-guide-hyyl4claj"><a target="_blank" rel="ugc" href="https://civarchive.com/articles/16797">Read the Guide</a></h2>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<ul><li><a target="_blank" rel="ugc" href="https://civarchive.com/articles/16799">NSFW Image Comparison</a></li><li>Using the CLIP in FP32 is recommended</li><li><a target="_blank" rel="ugc" href="https://civarchive.com/articles/16837/easy-comfy-ui-launch-tool">Workflow and launch Tool to Replace CLIP</a></li><li>Comfy UI --fp32-text-enc (Or use the the linked above)</li><li>Forge/Auto1111 --clip-in-fp32 (Or use the the linked above)</li><li>Checkpoints with FP32 JoyCLIP built are hosted on <a target="_blank" rel="ugc" href="https://huggingface.co/Felldude/JoyCLIP_Model_Merges/tree/main">HuggingFace</a> they have not been altered except for the clip and the metadata includes attribution and license. These include:</li></ul><a target="_blank" rel="ugc" href="https://huggingface.co/Felldude/JoyCLIP_Model_Merges/blob/main/CyberRealisticPony_JoyED.safetensors">CyberRealistic</a>, <a target="_blank" rel="ugc" href="https://huggingface.co/Felldude/JoyCLIP_Model_Merges/blob/main/ponyRealismUltra_JoyED.safetensors">PonyRealism</a>, <a target="_blank" rel="ugc" href="https://huggingface.co/Felldude/JoyCLIP_Model_Merges/blob/main/realismByStableYogi_JoyED.safetensors">RealismbyStableYogi</a><hr /><h3 id="joy-clip-is-the-culmination-of-100's-of-hours-of-training-using-50kwh-6l13txxei">Joy CLIP is the culmination of 100's of hours of training using 50KwH</h3>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.<h3 id="license:-mit-license-msigg9vmk">License: MIT License</h3>Copyright (c) 2021 OpenAIPermission is hereby granted, free of charge, to any person obtaining a copyof this software and associated documentation files (the "Software"), to dealin the Software without restriction, including without limitation the rightsto use, copy, modify, merge, publish, distribute, sublicense, and/or sellcopies of the Software, and to permit persons to whom the Software isfurnished to do so, subject to the following conditions:The above copyright notice and this permission notice shall be included in allcopies or substantial portions of the Software.THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS ORIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THEAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHERLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THESOFTWARE.

Joy CLIP (FLUX, PONY, Video Models)

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