Model Details
Full Model IDlightx2v/Qwen-Image-Edit-2511-Lightning
Pipeline / Taskimage-to-image
Librarydiffusers
Downloads (all-time)198.3K
Likes422
Last Modified1/15/2026
Author / Orglightx2v
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("image-to-image", model="lightx2v/Qwen-Image-Edit-2511-Lightning")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
diffuserssafetensorsdiffusion-single-filecomfyuidistillationLoRAloraQwen-ImageQwen-Image-Editimage-to-imagebase_model:Qwen/Qwen-Image-Edit-2511base_model:adapter:Qwen/Qwen-Image-Edit-2511license:apache-2.0region:us
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🤖 Task: image-to-image
This model is designed for the image-to-image task. Explore more models for this use case.
All image-to-image Models →📊 Popularity
⬇ Downloads198.3K
❤️ Community Likes422
🛠️ Requirements
- →Install: pip install diffusers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.