Instructions to use daspartho/bored-ape-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use daspartho/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("daspartho/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
- Xet hash:
- 2b2e7230eb97cc5e54a605145917c6ce6f01fca40627dcc93bbd5058752491a0
- Size of remote file:
- 74.3 MB
- SHA256:
- f2f04e1026ae7a091b5cc8a883c45fb5a35d5c55506ac7dd7ea46628dc636384
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