Instructions to use openai/consistency-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openai/consistency-decoder 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/consistency-decoder", 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
Download diffusion_pytorch_model.fp16.safetensors from openai/consistency-decoder: direct link, hf CLI and curl.
- Browser
- Download file 1.31 GB
-
https://huggingface.co/openai/consistency-decoder/resolve/main/diffusion_pytorch_model.fp16.safetensors
- Command line
-
hf download hf://openai/consistency-decoder/diffusion_pytorch_model.fp16.safetensors
-
curl -L -o diffusion_pytorch_model.fp16.safetensors https://huggingface.co/openai/consistency-decoder/resolve/main/diffusion_pytorch_model.fp16.safetensors
1.31 GB
- Xet hash:
- ca2d03c53e935533753b1d80d787b895b30ef9156ba7ef1dd7d9fe4284078bbe
- Size of remote file:
- 1.31 GB
- SHA256:
- df6386a06f741c7dfaaa4709b6db39aca345a406d8413dc2c4dbd48a0dce1cfb
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