Instructions to use Alpha-VLLM/Lumina-Next-T2I with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alpha-VLLM/Lumina-Next-T2I with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Alpha-VLLM/Lumina-Next-T2I", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2abf4826700543a7912a3192748e80b14c0e5714190c2d1bb42a0465771c4f21
- Size of remote file:
- 6.51 GB
- SHA256:
- e89f1b38dec1d9645636c07453249278fdc23dcc4c2ef34fa6005993e0cebd0e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.