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
- Draw Things
- DiffusionBee
- Xet hash:
- 368d25a848460e7d82f1ae300005d511cd132148de4d536faa6be66b740e8024
- Size of remote file:
- 1.72 GB
- SHA256:
- 74e8495acd79b59493a5e3512d93d418f9188fb99dd66bd36560e6f7155a82c6
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