Instructions to use fusing/latent-diffusion-text2im-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fusing/latent-diffusion-text2im-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fusing/latent-diffusion-text2im-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vqvae/diffusion_model.pt from fusing/latent-diffusion-text2im-large: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/fusing/latent-diffusion-text2im-large/resolve/refs%2Fpr%2F3/vqvae/diffusion_model.pt
- Command line
-
hf download hf://fusing/latent-diffusion-text2im-large@refs/pr/3/vqvae/diffusion_model.pt
-
curl -L -o diffusion_model.pt https://huggingface.co/fusing/latent-diffusion-text2im-large/resolve/refs%2Fpr%2F3/vqvae/diffusion_model.pt
335 MB
- Xet hash:
- 619d8e307082e6bb8aa23c2d0645eb2c6b2c04a1d8dd2fc04e44561014310864
- Size of remote file:
- 335 MB
- SHA256:
- 40e9811ed7c6c4775c110fd8347ee11283d99b603852f96863d172a23787a3b5
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