Instructions to use reproducible-ai/diffusers-uncond with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use reproducible-ai/diffusers-uncond with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("reproducible-ai/diffusers-uncond", 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:
- 7efed65ca64f96827fe1fca9c2e390d65d0d5720419e6503201ee7745c5c406d
- Size of remote file:
- 455 MB
- SHA256:
- 68c73e60abfa1c4fe8220c0a4f2b76efdd30ac6d314fa7a19cfc317cabe7062b
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