Instructions to use tencent/HunyuanImage-3.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tencent/HunyuanImage-3.0 with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("tencent/HunyuanImage-3.0", trust_remote_code=True, dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 10d621ba5c1285d9a1b2157d84452c3768c6d01da4eb3012be3faa3047ba103a
- Size of remote file:
- 1.52 MB
- SHA256:
- 665dce959769e799a14fa7d176d4a676feb33193c6575db21da97458732488fc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.