Model Details
Full Model IDQwen/Qwen-Image
Pipeline / Tasktext-to-image
Librarydiffusers
Downloads (all-time)261.9K
Likes2.6K
Last Modified8/18/2025
Author / OrgQwen
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("text-to-image", model="Qwen/Qwen-Image")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
diffuserssafetensorstext-to-imageenzharxiv:2508.02324license:apache-2.0diffusers:QwenImagePipelinedeploy:azureregion:us
More Text to Image Models
See all →🚀 Use This Model
Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🎨 Task: Text to Image
This model is designed for the Text to Image task. Explore more models for this use case.
All Text to Image Models →📊 Popularity
⬇ Downloads261.9K
❤️ Community Likes2.6K
🛠️ 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.