Instructions to use technillogue/waifu-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use technillogue/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("technillogue/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:
- 8fe2b5d9b25451fe9fdf8948af026b82ce9b0006f220d68345580dccf6667eb5
- Size of remote file:
- 170 MB
- SHA256:
- 75c12b173d40354768c68eb823ad00b6fe526c5827e15f7ba64113eed249cc31
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