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:
# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f10b4fbbd9e63e148b8a7ee59a8cd1d3389331ca28ac44e8640213e96390b0da
- Size of remote file:
- 3.69 GB
- SHA256:
- 657723e09f46a7c3957df651601029f66b1748afb12b419816330f16ed45d64d
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