Instructions to use prithivMLmods/Qwen-Image-2.1-Voxel-Style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/Qwen-Image-2.1-Voxel-Style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-2.1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("prithivMLmods/Qwen-Image-2.1-Voxel-Style") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Download assets/1.png from prithivMLmods/Qwen-Image-2.1-Voxel-Style: direct link, hf CLI and curl.
- Browser
- Download file 6.97 MB
-
https://huggingface.co/prithivMLmods/Qwen-Image-2.1-Voxel-Style/resolve/main/assets/1.png
- Command line
-
hf download hf://prithivMLmods/Qwen-Image-2.1-Voxel-Style/assets/1.png
-
curl -L -o 1.png https://huggingface.co/prithivMLmods/Qwen-Image-2.1-Voxel-Style/resolve/main/assets/1.png
6.97 MB

- Xet hash:
- ad7ad5eb5bb873a9720977dd0784a7590d1aaba89cabe611a835b009c82c86ae
- Size of remote file:
- 6.97 MB
- SHA256:
- 85fddde84d24008ba0b90f791301b06821aa060e11f7814f905bf3f314d2bc97
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