Model Details
Full Model IDtencent/HunyuanImage-3.0
Pipeline / Tasktext-to-image
Librarytransformers
Downloads (all-time)929.3K
Likes1.1K
Last Modified1/28/2026
Author / Orgtencent
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="tencent/HunyuanImage-3.0")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerssafetensorshunyuan_image_3_moetext-generationtext-to-imagecustom_codearxiv:2509.23951license: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
⬇ Downloads929.3K
❤️ Community Likes1.1K
🛠️ Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.