Instructions to use AiArtLab/qwen3-0.6b-4b-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiArtLab/qwen3-0.6b-4b-adapter with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AiArtLab/qwen3-0.6b-4b-adapter", 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 media/before_after.png from AiArtLab/qwen3-0.6b-4b-adapter: direct link, hf CLI and curl.
- Browser
- Download file 3.08 MB
-
https://huggingface.co/AiArtLab/qwen3-0.6b-4b-adapter/resolve/main/media/before_after.png
- Command line
-
hf download hf://AiArtLab/qwen3-0.6b-4b-adapter/media/before_after.png
-
curl -L -o before_after.png https://huggingface.co/AiArtLab/qwen3-0.6b-4b-adapter/resolve/main/media/before_after.png
3.08 MB

- Xet hash:
- 2a45b467444de08fbaae4bec76c3081b21d704fa7f60c1dedaf3aef4e1298fde
- Size of remote file:
- 3.08 MB
- SHA256:
- 40f5e41e8e4f9741cb97acda4192f5a0472b3654a0856e8759769f089dac7dff
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