Instructions to use HelloSun/Qwen-Image-2.1-Turbo-OpenVINO-INT4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HelloSun/Qwen-Image-2.1-Turbo-OpenVINO-INT4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HelloSun/Qwen-Image-2.1-Turbo-OpenVINO-INT4", 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 vae_encoder/openvino_model.xml from HelloSun/Qwen-Image-2.1-Turbo-OpenVINO-INT4: direct link, hf CLI and curl.
- Browser
- Download file 818 kB
-
https://huggingface.co/HelloSun/Qwen-Image-2.1-Turbo-OpenVINO-INT4/resolve/main/vae_encoder/openvino_model.xml
- Command line
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hf download hf://HelloSun/Qwen-Image-2.1-Turbo-OpenVINO-INT4/vae_encoder/openvino_model.xml
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curl -L -o openvino_model.xml https://huggingface.co/HelloSun/Qwen-Image-2.1-Turbo-OpenVINO-INT4/resolve/main/vae_encoder/openvino_model.xml
818 kB
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