Instructions to use wavespeed/stable-diffusion-xl-base-1.0-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wavespeed/stable-diffusion-xl-base-1.0-fp16 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wavespeed/stable-diffusion-xl-base-1.0-fp16", 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:
- 1ff7b4b084bd4c0142881ee6e537094356b88c27aecde73633788266221a2c18
- Size of remote file:
- 130 kB
- SHA256:
- 236672de00184fca58a7437e01cc229819f7c7eae7f331770bc38cca547d7e0f
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