Instructions to use InvokeAI/ip_adapter_sd_image_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InvokeAI/ip_adapter_sd_image_encoder with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, CLIPVisionModelWithProjection tokenizer = AutoTokenizer.from_pretrained("InvokeAI/ip_adapter_sd_image_encoder") model = CLIPVisionModelWithProjection.from_pretrained("InvokeAI/ip_adapter_sd_image_encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from InvokeAI/ip_adapter_sd_image_encoder: direct link, hf CLI and curl.
- Browser
- Download file 2.53 GB
-
https://huggingface.co/InvokeAI/ip_adapter_sd_image_encoder/resolve/main/model.safetensors
- Command line
-
hf download hf://InvokeAI/ip_adapter_sd_image_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/InvokeAI/ip_adapter_sd_image_encoder/resolve/main/model.safetensors
2.53 GB
- Xet hash:
- 0a03e70bd2ad910201162865af9a3199938a6ddc83ad0e4ecbfcea1363adcf2c
- Size of remote file:
- 2.53 GB
- SHA256:
- 6ca9667da1ca9e0b0f75e46bb030f7e011f44f86cbfb8d5a36590fcd7507b030
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