Instructions to use AdamOswald1/Ultima-Waifu-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AdamOswald1/Ultima-Waifu-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("AdamOswald1/Ultima-Waifu-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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 093a3b0bb12bbfa23d9689a01e2080538ba0af605ae1820c642edffebef06333
- Size of remote file:
- 9.25 MB
- SHA256:
- 55189a16714b9fcf773a6d0969f63a8d721582a60e1b3f3f5ef21b4ef1acd9a6
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