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- CLIP ViT-H/14: Vision Encoder
CLIP ViT-H/14: Vision Encoder
CLIP ViT-H/14 trained on LAION-2B, a large vision encoder model repackaged for ComfyUI as a CLIP vision model for conditioning.
CLIP ViT-H/14 is a large vision encoder model trained on the LAION-2B dataset (32B samples seen, 79K steps). It serves as a CLIP vision encoder for conditioning in ComfyUI, providing high-quality image embeddings for various diffusion model conditioning tasks.
Usage in ComfyUI
Place the model file in ComfyUI/models/clip_vision/ (the split_files/clip_vision/ directory maps to this). Compatible with ComfyUI's standard CLIP vision loader node.
| Developer | LAION / OpenCLIP |
| Release Date | 2023 (repackaged 2025) |
| Architecture | ViT-H/14 |
| License | MIT |
| Type | CLIP Vision Encoder |
| Training Data | LAION-2B |
Links
- Hugging Face (Comfy-Org): Comfy-Org/CLIP-ViT-H-14-laion2B-s32B-b79K_repackaged
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