Instructions to use flax/waifu-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flax/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("flax/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:
- ff7e25f1ad0e55dc686b8eacae6c4f39adde2fd530ca89863254de775cc3eb90
- Size of remote file:
- 3.44 GB
- SHA256:
- 527331ef2b43e1f5dc4e0058c6684346d558a9820104eed8787e1c736479b6bc
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