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 Settings
- Draw Things
- DiffusionBee

- Xet hash:
- dd78b49a6c4c03390751b1cb1ba9bb593c496a15df546618f9080da780807da4
- Size of remote file:
- 1.28 MB
- SHA256:
- cd3b3bcc08ef6bc1b4fbdc8dc8cc5b692c59cd488886906e69f7f6ece977059a
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