Instructions to use diffusers/consistency-models-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/consistency-models-test 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/consistency-models-test", 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
- Xet hash:
- 2a7d0f481dc3c0906af1ed84c49230efafa19bafb4f1395d58d26d84752abea6
- Size of remote file:
- 5.21 MB
- SHA256:
- 27edc6ceac7e3418ff11ddcf828cd37f24b3055417be343f6cd9e1720d9f2054
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