Diffusers
ConsistencyModelPipeline
generative model
unconditional image generation
consistency-model
Instructions to use openai/diffusers-ct_cat256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openai/diffusers-ct_cat256 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("openai/diffusers-ct_cat256", 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:
- daaf43e2446e51277d3646967631516ea71127d03de28e7682cf5d9f720b20a8
- Size of remote file:
- 2.11 GB
- SHA256:
- 548a2e769c3393bc8afe0c7c4eafcd580bb1a6d102299f6e5e048bc2994b159d
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