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:
- 98ae3c982c3e36f8b2efcd23984791ed8e4361a36ca69bdf65a5ffe0c5358a9f
- Size of remote file:
- 248 kB
- SHA256:
- f6c0e6751b4bf0f30daeb6a2b7cdb4dc3276bd61ea58294ba528fd807a17473f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.