Instructions to use Ravneet/ddpm-butterflies-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ravneet/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("Ravneet/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:
- 2157fe46194a18b8cae7ec486102bcb1715bde94471e5c0e7f36407c31b6f73d
- Size of remote file:
- 543 kB
- SHA256:
- 6fb448e206e445ac3be7d372bab08e9b0118ea700160b7f2e64b11926bf99efa
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