Instructions to use HiDream-ai/HiDream-O1-Image-Dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HiDream-ai/HiDream-O1-Image-Dev with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("HiDream-ai/HiDream-O1-Image-Dev") model = AutoModelForImageTextToText.from_pretrained("HiDream-ai/HiDream-O1-Image-Dev") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 59670e0b47b855284127299a2ac6bab30b0cff73df37884bc9c6fabc14484867
- Size of remote file:
- 2.58 MB
- SHA256:
- 9dc8f61b5e7cb68c2c82a82f930234adec0d9214f45d827f67cd073d4665d3e2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.