Instructions to use SahilCarterr/Qwen-Image-Distill-Full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SahilCarterr/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("SahilCarterr/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_1_original.jpg from SahilCarterr/Qwen-Image-Distill-Full: direct link, hf CLI and curl.
- Browser
- Download file 89.3 kB
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https://huggingface.co/SahilCarterr/Qwen-Image-Distill-Full/resolve/main/assets/image_1_original.jpg
- Command line
-
hf download hf://SahilCarterr/Qwen-Image-Distill-Full/assets/image_1_original.jpg
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curl -L -o image_1_original.jpg https://huggingface.co/SahilCarterr/Qwen-Image-Distill-Full/resolve/main/assets/image_1_original.jpg
89.3 kB
