Instructions to use InvokeAI/ip_adapter_sdxl_image_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InvokeAI/ip_adapter_sdxl_image_encoder with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, CLIPVisionModelWithProjection tokenizer = AutoTokenizer.from_pretrained("InvokeAI/ip_adapter_sdxl_image_encoder") model = CLIPVisionModelWithProjection.from_pretrained("InvokeAI/ip_adapter_sdxl_image_encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
f1ecbe5
-
Remove conflicting 'architectures' field from config.json.
c2b8b82
-
Copy image encoder model from https://huggingface.co/h94/IP-Adapter/tree/5c2eae7d8a9c3365ba4745f16b94eb0293e319d3/sdxl_models/image_encoder .
bb9f965 -
initial commit
8d612c5