Instructions to use okaris/head-segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use okaris/head-segmentation with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("okaris/head-segmentation", 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
| { | |
| "_class_name": "HeadSegmentationModel", | |
| "_diffusers_version": "0.30.0", | |
| "encoder_depth": 5, | |
| "in_channels": 3, | |
| "input_resolution": 512, | |
| "out_channels": 2 | |
| } | |