Instructions to use bdsqlsz/qinglong_controlnet-lllite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bdsqlsz/qinglong_controlnet-lllite with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bdsqlsz/qinglong_controlnet-lllite", 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
qinglong_controlnet-lllite / sample /f49e5ae5b9c86ffab78f48e71d72f2f151248e33f10c54c498c7ca4be0dc5025.jpg
Download sample/f49e5ae5b9c86ffab78f48e71d72f2f151248e33f10c54c498c7ca4be0dc5025.jpg from bdsqlsz/qinglong_controlnet-lllite: direct link, hf CLI and curl.
- Browser
- Download file 210 kB
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https://huggingface.co/bdsqlsz/qinglong_controlnet-lllite/resolve/main/sample/f49e5ae5b9c86ffab78f48e71d72f2f151248e33f10c54c498c7ca4be0dc5025.jpg
- Command line
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hf download hf://bdsqlsz/qinglong_controlnet-lllite/sample/f49e5ae5b9c86ffab78f48e71d72f2f151248e33f10c54c498c7ca4be0dc5025.jpg
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curl -L -o f49e5ae5b9c86ffab78f48e71d72f2f151248e33f10c54c498c7ca4be0dc5025.jpg https://huggingface.co/bdsqlsz/qinglong_controlnet-lllite/resolve/main/sample/f49e5ae5b9c86ffab78f48e71d72f2f151248e33f10c54c498c7ca4be0dc5025.jpg
210 kB
