Instructions to use spawn08/segmentation_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use spawn08/segmentation_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("spawn08/segmentation_model", 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 .huggingface/download/checkpoints/ootd/vae/config.json.metadata from spawn08/segmentation_model: direct link, hf CLI and curl.
- Browser
- Download file 101 Bytes
-
https://huggingface.co/spawn08/segmentation_model/resolve/main/.huggingface/download/checkpoints/ootd/vae/config.json.metadata
- Command line
-
hf download hf://spawn08/segmentation_model/.huggingface/download/checkpoints/ootd/vae/config.json.metadata
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curl -L -o config.json.metadata https://huggingface.co/spawn08/segmentation_model/resolve/main/.huggingface/download/checkpoints/ootd/vae/config.json.metadata
101 Bytes
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