Model Details
Full Model IDabenzerps/Qwen-Image-2.1-Uncensored-Quantized
Pipeline / Tasktext-to-image
Librarygguf
Downloads (all-time)2.4M
Likes4.9K
Last Modified10/12/2026
Author / Orgabenzerps
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="abenzerps/Qwen-Image-2.1-Uncensored-Quantized")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
ggufqwenimage-generationcomfyuicomfyui-ggufmlxfp8nvfp4text-to-imagebase_model:Qwen/Qwen-Image-2.1base_model:quantized:Qwen/Qwen-Image-2.1license:otherregion: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
⬇ Downloads2.4M
❤️ Community Likes4.9K
🛠️ Requirements
- →Install: pip install gguf
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.