Instructions to use Alpha-VLLM/Lumina-Next-SFT-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Alpha-VLLM/Lumina-Next-SFT-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Alpha-VLLM/Lumina-Next-SFT-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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## π° News
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- [2024-
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- [2024-06-08] πππ We have released the `Lumina-Next-SFT` model.
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## π° News
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- **[2024-07-08] πππ Lumina-Next is now supported in the [diffusers](https://github.com/huggingface/diffusers)! Thanks to [@yiyixuxu](https://github.com/yiyixuxu) and [@sayakpaul](https://github.com/sayakpaul)!**
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- [2024-06-08] πππ We have released the `Lumina-Next-SFT` model.
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