Instructions to use SargeZT/t2i-adapter-sdxl-segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SargeZT/t2i-adapter-sdxl-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("SargeZT/t2i-adapter-sdxl-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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- a105b5cd293287eed5d2a48f6e552074c3ffc4c628a20d5ffcaaffb05ced8c55
- Size of remote file:
- 177 MB
- SHA256:
- 3f004b9bc60cea74cf2fe9f3a2edc3a15197e32475fc5b2f6111bae1326a3089
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