Instructions to use YiYiXu/waypoint-1-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YiYiXu/waypoint-1-small with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("YiYiXu/waypoint-1-small", 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:
- 7323a6733c48749134b4b28b569986d8c0cdf15efbef68f4af07b3841b2cd4f9
- Size of remote file:
- 2.64 GB
- SHA256:
- cdabdd443e37b1e5233c40b1193804cdb0da50d3baaf7d3ef0e09a80f8a225da
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