Instructions to use ocariz/ddpm-butterflies-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ocariz/ddpm-butterflies-128 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ocariz/ddpm-butterflies-128", 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:
- ff27639a30522a9613a5f00e7ac3b868ecea3baa4b6f9bc47ce4427b6c4cf26d
- Size of remote file:
- 455 MB
- SHA256:
- c3ce5a88e37d18d6b0de83b489afb31a536e5df3512a2ff00e44e9a7ba9dcd0e
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