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:
- 4f77309d0ddcdb1b40883985167d695a4b6341168293caa92efbf72ab83852d2
- Size of remote file:
- 246 MB
- SHA256:
- aa119ac636912af456b51b0eea727c892ca1057a82a5ca6a884f24d6965245c0
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