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
- Xet hash:
- dcf0a043f7cf1fca6bb4679b5e1ab16bd77f41c139a350cf97a4d19cfa63b67d
- Size of remote file:
- 698 Bytes
- SHA256:
- 41691d3ce1da7f192958e7b510f07e77f97d892ab57be235adb303b951ada6c8
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