HunyuanVideo use info

README.md

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 - But, it's fun to use with e.g. Flux.1 - get the [Text-Encoder TE only version](https://huggingface.co/zer0int/CLIP-SAE-ViT-L-14/resolve/main/ViT-L-14-GmP-SAE-TE-only.safetensors?download=true) ⬇️ and try it!
 - And this SAE CLIP has best results for linear probe @ [LAION-AI/CLIP_benchmark](https://github.com/LAION-AI/CLIP_benchmark) (see below)
 
+- This CLIP [direct download](https://huggingface.co/zer0int/CLIP-SAE-ViT-L-14/resolve/main/ViT-L-14-GmP-SAE-TE-only.safetensors?download=true) is also the best CLIP to use for [HunyuanVideo](https://huggingface.co/tencent/HunyuanVideo).
+- Required: Use with my [zer0int/ComfyUI-HunyuanVideo-Nyan](https://github.com/zer0int/ComfyUI-HunyuanVideo-Nyan) node (changes influence of LLM vs. CLIP; otherwise, difference is very little).
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+<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/6490359a877fc29cb1b09451/g0vO1N4JalPp8oIAq5v38.mp4"></video>
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 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6490359a877fc29cb1b09451/m6Qty30oeS7A8cDYvLWme.png)
 
 - Interesting things with adversarial robustness to try: Right-click and download individual images: [Image 1](https://raw.githubusercontent.com/zer0int/CLIP-SAE-finetune/refs/heads/CLIP-vision/bwcat_cat.png) -- [Image 2](https://raw.githubusercontent.com/zer0int/CLIP-SAE-finetune/refs/heads/CLIP-vision/bwcat_dog.png) -- [Image 3](https://raw.githubusercontent.com/zer0int/CLIP-SAE-finetune/refs/heads/CLIP-vision/bwcat_notext.png)