Instructions to use k-l-lambda/stable-diffusion-v1-4-inv-embed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use k-l-lambda/stable-diffusion-v1-4-inv-embed with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import InvWordEmbed model = InvWordEmbed.from_pretrained("k-l-lambda/stable-diffusion-v1-4-inv-embed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from k-l-lambda/stable-diffusion-v1-4-inv-embed: direct link, hf CLI and curl.
- Browser
- Download file 152 MB
-
https://huggingface.co/k-l-lambda/stable-diffusion-v1-4-inv-embed/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://k-l-lambda/stable-diffusion-v1-4-inv-embed/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/k-l-lambda/stable-diffusion-v1-4-inv-embed/resolve/main/pytorch_model.bin
152 MB
- Xet hash:
- 8ba63d36ba1c99c1cda06a32c0fbfe3556acbf7fedbd3be92aa583edb17c69c8
- Size of remote file:
- 152 MB
- SHA256:
- e0151f6130bd0d8377354596432205ffcde866dfedea49c660d40f35f769c1a4
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