Instructions to use lightx2v/Qwen-Image-Lightning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lightx2v/Qwen-Image-Lightning with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lightx2v/Qwen-Image-Lightning") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload folder using huggingface_hub
Browse files
Qwen-Image-Edit-2509/Qwen-Image-Edit-2509-Lightning-4steps-V1.0-fp32.safetensors
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Qwen-Image-Edit-2509/Qwen-Image-Edit-2509-Lightning-8steps-V1.0-fp32.safetensors
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oid sha256:eece790fc6ac8c0e36ce8e53cb5f78edf370bf2da79918148db037f529f7e841
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