Instructions to use diffusers-test/test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-test/test1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers-test/test1", 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:
- f380b83703769a53bd8e432fcd976cb8579e46fe55a5c8b08427cee8130e1d4e
- Size of remote file:
- 1.39 GB
- SHA256:
- d1b38d284ed24dd170563bbf610642074d2ecc51010660a7c2ccb3f83164759a
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