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
- Draw Things
- DiffusionBee
- Xet hash:
- 4b829164163d9d9827d71a5233daf55d0421faa8cf338d78326aca3b3ef631ac
- Size of remote file:
- 412 Bytes
- SHA256:
- a20a439cd2e262f614927d4dead3e389fef9212cf80b44516f5c124760a70412
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