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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fusing/latent-diffusion-text2im-large", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df5b7cfe480e916729abe41684508f5673d76186bfcb904dc0c84181fc63833d
- Size of remote file:
- 2.33 GB
- SHA256:
- b33de66bbe4f4a28993bf2620f27252ebbfa4ef9a7e4dfb967ad093b4578c5eb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.