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---
license: mit
license_name: mit
license_link: LICENSE
language:
- en
- ko
pipeline_tag: text-to-image
tags:
- text-to-image
- diffusion
- flow-matching
- motif
---
*Last update: 21st July 2025*
# New
**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.
We are actively working on improving the model, and the latest version—along with all accompanying artifacts—will be released in the near future.
---
## Introduction
We are excited to introduce **Motif Vision 6B Preview**, a powerful text-to-image model trained entirely from scratch. 🖼️✨
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.
---
## Training Information
The model was trained on a large-scale GPU cluster, demonstrating our commitment to developing cutting-edge models.
* **GPUs**: 96 AMD Instinct™ MI250 (24 nodes × 4 GPUs)
* **Training Time**: 90 days
*Notice: A detailed technical report will be released at a later time.*
---
## Availability
### Checkpoints
The model checkpoints are shared directly in this repository and are ready for use.
### Live Demo
You can try an interactive demo of Motif Vision 6B Preview right now on the **[Motif Model Hub](https://model-hub.motiftech.io/)**.
## How to Use
You can run inference with this model using the provided script:
```bash
bash run_inference.sh
```
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.
### Code Release
The source code for inference and training will be made publicly available soon. Stay tuned for updates!
> **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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