Instructions to use lundstromlukk/bored-ape-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lundstromlukk/bored-ape-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lundstromlukk/bored-ape-diffusion", 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 diffusion_pytorch_model.bin from lundstromlukk/bored-ape-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 74.3 MB
-
https://huggingface.co/lundstromlukk/bored-ape-diffusion/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://lundstromlukk/bored-ape-diffusion/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/lundstromlukk/bored-ape-diffusion/resolve/main/diffusion_pytorch_model.bin
74.3 MB
- Xet hash:
- 55456cfaf6a72f2ffea604bb95876d1724659dd187c6d5492a05c73dc823ad39
- Size of remote file:
- 74.3 MB
- SHA256:
- 2b5308082211b74d79a07e74bf1186cccbe84c32afd7d3070308662cb337ce74
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