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
Download sample/test.png from bdsqlsz/qinglong_controlnet-lllite: direct link, hf CLI and curl.
- Browser
- Download file 1.05 MB
-
https://huggingface.co/bdsqlsz/qinglong_controlnet-lllite/resolve/main/sample/test.png
- Command line
-
hf download hf://bdsqlsz/qinglong_controlnet-lllite/sample/test.png
-
curl -L -o test.png https://huggingface.co/bdsqlsz/qinglong_controlnet-lllite/resolve/main/sample/test.png
1.05 MB

- Xet hash:
- 2850a8106f87245fc8bb29bab2dcc7bbdb32546612a22b978e0ff46346c62b02
- Size of remote file:
- 1.05 MB
- SHA256:
- 479f4fa9a5d2fcbf81240533f347a0d080050162757702317c8d7e06401bb958
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