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.

DeveloperLAION / OpenCLIP
Release Date2023 (repackaged 2025)
ArchitectureViT-H/14
LicenseMIT
TypeCLIP Vision Encoder
Training DataLAION-2B

Guides and workflows related to this model series.

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