Instructions to use diffusers/consistency_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/consistency_models 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", 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:
- e5f357e124cce2e180c1bf940f088b1c9e8267a51ef5704f36871a4305ead884
- Size of remote file:
- 1.18 GB
- SHA256:
- 26810cf35758bdb4be69af55547a43ba0eff229a08b5d8addb80390b7736fd58
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