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
Invalid JSON:Expected property name or '}' in JSONat line 2, column 3
| { | |
| 'model': 'NextDiT_2B_GQA_patch2', | |
| 'image_size': 1024, | |
| 'vae': 'sdxl', | |
| 'model_parallel_size': 1, | |
| 'qk_norm': true, | |
| 'lm': 'google/gemma-2b', | |
| 'tokenizer_path': 'google/gemma-2b', | |
| } |