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 pytorch_model.bin from fusing/latent-diffusion-text2im-large: direct link, hf CLI and curl.
- Browser
- Download file 2.33 GB
-
https://huggingface.co/fusing/latent-diffusion-text2im-large/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://fusing/latent-diffusion-text2im-large/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/fusing/latent-diffusion-text2im-large/resolve/main/pytorch_model.bin
2.33 GB
- Xet hash:
- df5b7cfe480e916729abe41684508f5673d76186bfcb904dc0c84181fc63833d
- Size of remote file:
- 2.33 GB
- SHA256:
- b33de66bbe4f4a28993bf2620f27252ebbfa4ef9a7e4dfb967ad093b4578c5eb
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