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:
- 1d044ce31a802a464f5f6fa14c44abea6589c9ae4c70810beab30ca677dd9701
- Size of remote file:
- 17.5 MB
- SHA256:
- cd1df914b205b134e52f15364524a919423b48c9056d725b45c5b89187541de0
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