Instructions to use obvious-research/onlyflow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use obvious-research/onlyflow with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("obvious-research/onlyflow", 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

- Xet hash:
- 0ea02ae778366d50b55ba2fcc4cf4aa50d33e69d7c53d3534c64cf2a10ca9642
- Size of remote file:
- 3.62 MB
- SHA256:
- e6444237105def44c30086100efd376412517857430cc4e73818a84a1c295fce
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