Instructions to use circulus/ControlFace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use circulus/ControlFace with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("circulus/ControlFace", 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:
- 237d09af817c09c29b58d87a143c2760ba9a83cf3f138d47e66992b781c2ec1c
- Size of remote file:
- 1.45 GB
- SHA256:
- f63de389f776b75bb11f10487a187573aea84f9a51debd08f314bd084e7fb362
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