Instructions to use steeldream/ddpm_arcade with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use steeldream/ddpm_arcade with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("steeldream/ddpm_arcade", 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/0139.png from steeldream/ddpm_arcade: direct link, hf CLI and curl.
- Browser
- Download file 99.6 kB
-
https://huggingface.co/steeldream/ddpm_arcade/resolve/main/samples/0139.png
- Command line
-
hf download hf://steeldream/ddpm_arcade/samples/0139.png
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curl -L -o 0139.png https://huggingface.co/steeldream/ddpm_arcade/resolve/main/samples/0139.png
99.6 kB
