Instructions to use b3h-young123/slected-space with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use b3h-young123/slected-space with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("b3h-young123/slected-space", 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
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Download OminiControl/README.md from b3h-young123/slected-space: direct link, hf CLI and curl.
- Browser
- Download file 132 Bytes
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https://huggingface.co/b3h-young123/slected-space/resolve/main/OminiControl/README.md
- Command line
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hf download hf://b3h-young123/slected-space/OminiControl/README.md
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curl -L -o README.md https://huggingface.co/b3h-young123/slected-space/resolve/main/OminiControl/README.md
132 Bytes
| title: OminiControl | |
| emoji: 🌍 | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 5.6.0 | |
| app_file: app.py | |
| pinned: false | |