Instructions to use onkarsus13/UniDFlow-A2A with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use onkarsus13/UniDFlow-A2A with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("onkarsus13/UniDFlow-A2A", 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:
- 9b9d73bf3849b40bbc68c5c79e24294d2a6099e68da55807c1230736827a8712
- Size of remote file:
- 11.3 MB
- SHA256:
- d1e30dd1588d25682e78c74a57bc775173cc34f85f991385602812a2d498fc7d
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