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Change in ip-adapter docs. CLIPVisionModelWithProjection should be im… #6597

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Jan 16, 2024
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Change in ip-adapter docs. CLIPVisionModelWithProjection should be im… #6597

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3 changes: 2 additions & 1 deletion docs/source/en/using-diffusers/loading_adapters.md
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Expand Up @@ -344,7 +344,8 @@ pipeline.load_ip_adapter("h94/IP-Adapter", subfolder="models", weight_name="ip-a
IP-Adapter relies on an image encoder to generate the image features, if your IP-Adapter weights folder contains a "image_encoder" subfolder, the image encoder will be automatically loaded and registered to the pipeline. Otherwise you can so load a [`~transformers.CLIPVisionModelWithProjection`] model and pass it to a Stable Diffusion pipeline when you create it.

```py
from diffusers import AutoPipelineForText2Image, CLIPVisionModelWithProjection
from diffusers import AutoPipelineForText2Image
from transformers import CLIPVisionModelWithProjection
import torch

image_encoder = CLIPVisionModelWithProjection.from_pretrained(
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