Model Details
Full Model IDunsloth/Qwen-Image-2512-GGUF
Pipeline / Tasktext-to-image
Library—
Downloads (all-time)318.1K
Likes427
Last Modified1/6/2026
Author / Orgunsloth
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="unsloth/Qwen-Image-2512-GGUF")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
ggufquantizedunslothqwentext-to-imageenzharxiv:2508.02324base_model:Qwen/Qwen-Image-2512base_model:quantized:Qwen/Qwen-Image-2512license:apache-2.0region: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
⬇ Downloads318.1K
❤️ Community Likes427
🛠️ Requirements
- →Check docs for installation steps.
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.