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--- |
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license: mit |
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license_name: mit |
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license_link: LICENSE |
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language: |
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- en |
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- ko |
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pipeline_tag: text-to-image |
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tags: |
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- text-to-image |
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- diffusion |
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- flow-matching |
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- motif |
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--- |
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*Last update: 21st July 2025* |
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# New |
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**Motif Vision 6B-preview** marks the initial step in our “beyond LLM” strategy. This preview version, developed in January 2025, is exactly the same as the one currently deployed in our service: https://model-hub.motiftech.io. |
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We are actively working on improving the model, and the latest version—along with all accompanying artifacts—will be released in the near future. |
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--- |
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## Introduction |
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We are excited to introduce **Motif Vision 6B Preview**, a powerful text-to-image model trained entirely from scratch. 🖼️✨ |
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This model leverages a state-of-the-art **MMDiT** (Multi-modal Diffusion Transformer) architecture and utilizes **Flow Matching** for efficient and high-quality image generation. Motif Vision 6B Preview is our latest step in pushing the boundaries of generative AI. |
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## Training Information |
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The model was trained on a large-scale GPU cluster, demonstrating our commitment to developing cutting-edge models. |
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* **GPUs**: 96 AMD Instinct™ MI250 (24 nodes × 4 GPUs) |
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* **Training Time**: 90 days |
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*Notice: A detailed technical report will be released at a later time.* |
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## Availability |
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### Checkpoints |
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The model checkpoints are shared directly in this repository and are ready for use. |
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### Live Demo |
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You can try an interactive demo of Motif Vision 6B Preview right now on the **[Motif Model Hub](https://model-hub.motiftech.io/)**. |
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## How to Use |
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You can run inference with this model using the provided script: |
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```bash |
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bash run_inference.sh |
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``` |
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This command will generate images based on your prompt file using Motif Vision 6B Preview. Please refer to the script or repository documentation for additional options and usage details. |
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### Code Release |
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The source code for inference and training will be made publicly available soon. Stay tuned for updates! |
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> **Note:** Currently, only our own inference code is provided. Support for Hugging Face Diffusers compatibility will be added in the future, so please stay tuned. |
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