Instructions to use waifu-diffusion/wd40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use waifu-diffusion/wd40 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("waifu-diffusion/wd40", dtype=torch.bfloat16, device_map="cuda") prompt = "1girl, solo, bangs, (pink hair, gradient hair, very long hair:1.1), (purple eyes:1.05), (cat ears, animal ear fluff:1.2), sidelocks, white shirt, collared shirt, buttons, night, looking at viewer, table, pizza on table, pov, restaurant, medium breasts, smiling, (blush:0.7), colored inner hair, (symmetric), (masterpiece, exceptional, extremely detailed:1.1)" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 40c858a3dc4891a634bfb7fc4df49d608d0996eac2bad3ea147e4e1b7653620a
- Size of remote file:
- 335 MB
- SHA256:
- 1357fbdfc23e1db3095f56f9621cfdbdc10af163f434b2a197477bed6479bc04
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