Instructions to use Owen777/UltraFlux-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Owen777/UltraFlux-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Owen777/UltraFlux-v1", dtype=torch.bfloat16, device_map="cuda") prompt = " " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- f7e94ecf83f8082cd576747fadd63976519f56f5264db8a19ad27d65ebac335b
- Size of remote file:
- 1.37 MB
- SHA256:
- f55a7ba5547590dc0b273ece3df960214f7b916d0da58fda477c4d7a91b8230e
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