Instructions to use jasonacox/ddpm-butterflies-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jasonacox/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("jasonacox/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
Download samples/0034.png from jasonacox/ddpm-butterflies-128: direct link, hf CLI and curl.
- Browser
- Download file 493 kB
-
https://huggingface.co/jasonacox/ddpm-butterflies-128/resolve/main/samples/0034.png
- Command line
-
hf download hf://jasonacox/ddpm-butterflies-128/samples/0034.png
-
curl -L -o 0034.png https://huggingface.co/jasonacox/ddpm-butterflies-128/resolve/main/samples/0034.png
493 kB

- Xet hash:
- 931d8d83ad6845196bc842dff16c7f0bc10a74559e3829ca27335a56dd121cda
- Size of remote file:
- 493 kB
- SHA256:
- 695381b526044b926b82cb2d3e8abd36b18210cbbd9cdb75408b3fcc7cffb7d4
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