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:
- 10749197a6d08553b8d1678b9e59d4beb4af27e2e3db1c678cfe22cb86d330a6
- Size of remote file:
- 537 kB
- SHA256:
- 0a276fb8717fe83c040434205bdaaca5009760e6a107a098b719d63852c0c949
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