Instructions to use DiffSynth-Studio/Qwen-Image-Distill-Full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DiffSynth-Studio/Qwen-Image-Distill-Full with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DiffSynth-Studio/Qwen-Image-Distill-Full", 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 assets/image_2_ours.jpg from DiffSynth-Studio/Qwen-Image-Distill-Full: direct link, hf CLI and curl.
- Browser
- Download file 128 kB
-
https://huggingface.co/DiffSynth-Studio/Qwen-Image-Distill-Full/resolve/main/assets/image_2_ours.jpg
- Command line
-
hf download hf://DiffSynth-Studio/Qwen-Image-Distill-Full/assets/image_2_ours.jpg
-
curl -L -o image_2_ours.jpg https://huggingface.co/DiffSynth-Studio/Qwen-Image-Distill-Full/resolve/main/assets/image_2_ours.jpg
128 kB

- Xet hash:
- 0c7e20bb626f1cce419ebb176595fb9107b169c72ef5b252c51b7123d2b18f6a
- Size of remote file:
- 128 kB
- SHA256:
- 2ba0c85a29a31c7c5edb513576c8093403b8e1403e4055821df0aab01063545d
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