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
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README.md
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- 🎨 **One Model, Many Tasks** — Text-to-image, long-text rendering, instruction editing, subject-driven personalization, and storyboard generation in a single architecture.
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- 🧠 **Reasoning-Driven Prompt Agent** — Built-in "thinking" agent that resolves implicit knowledge, layout, and text rendering before generation.
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- 🖼️ **Native High Resolution** — Direct synthesis up to 2,048 × 2,048 with sharp fine-grained detail.
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## Models
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- 🎨 **One Model, Many Tasks** — Text-to-image, long-text rendering, instruction editing, subject-driven personalization, and storyboard generation in a single architecture.
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- 🧠 **Reasoning-Driven Prompt Agent** — Built-in "thinking" agent that resolves implicit knowledge, layout, and text rendering before generation.
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- 🖼️ **Native High Resolution** — Direct synthesis up to 2,048 × 2,048 with sharp fine-grained detail.
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- ⚡ **Exceptional Efficiency and Versatility at 8B Scale** — With only 8B parameters, achieves performance parity with or even surpasses larger open-source DiTs and leading closed-source models.
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## Models
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