Model Details
Full Model IDunsloth/Z-Image-Turbo-GGUF
Pipeline / Tasktext-to-image
Libraryggml
Downloads (all-time)1.1M
Likes288
Last Modified1/8/2026
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/Z-Image-Turbo-GGUF")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
ggmlggufquantizedunslothtext-to-imageenarxiv:2511.22699arxiv:2511.22677arxiv:2511.13649base_model:Tongyi-MAI/Z-Image-Turbobase_model:quantized:Tongyi-MAI/Z-Image-Turbolicense: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: 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
⬇ Downloads1.1M
❤️ Community Likes288
🛠️ Requirements
- →Install: pip install ggml
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.