π₯ Update SUMMER 2025: π₯ π€ New and greatly improved version of the model, check out: π https://huggingface.co/zer0int/CLIP KO LITE TypoAttack Attn Dropout ViT L 14 A fine tune of CLIP L. Original model: openai/clip vit large patch14 Love β€οΈ this CLIP? α Buy me a coffee on Ko Fi β Or click here for address to send πͺβΏ BTC Want to feed it yourself? All code for fine tuning and much more is on my GitHub. Update 23/SEP/2024: Huggingface Transformers / Diffusers pipeline now implemented. See here for an example script: Integrating my CLIP L with Flux.1 Otherwise, use as normal / any HF model: Update 03/SEP/2024 / edit 05/AUG: π Looking for a Text Encoder for Flux.1 (or SD3, SDXL, SD, ...) to replace CLIP L? π You'll generally want the "TE only" .safetensors: π The "TEXT" model has superior prompt following, especially for text, but also for other details. DOWNLOAD π The "SMOOTH" model can sometimes have better details (when there's no text in the image). DOWNLOAD The "GmP" initial fine tune is deprecated / inferior to the above models. Still, you can DOWNLOAD it. : The "TEXT" model is the best for text. Full stop. But whether the "SMOOTH" model is better for your (text free) scenβ¦
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