| --- |
| license: mit |
| library_name: custom |
| pipeline_tag: text-to-image |
| inference: false |
| tags: |
| - text-to-image |
| - image-generation |
| - graphic-design |
| - text-rendering |
| - rgba |
| --- |
| |
| # Ming-Image-0.1-Design |
|
|
| [🧩 ModelScope](https://www.modelscope.cn/models/inclusionAI/Ming-Image-0.1-Design) · [🤗 Hugging Face](https://huggingface.co/inclusionAI/Ming-Image-0.1-Design) · [📄 Blog](https://mp.weixin.qq.com/s/VGdtxfM8kbHIQJw50VD_Sw) · [🖥️ Demo](https://huggingface.co/spaces/hugging-apps/ming-image-0-1-design-demo)<br> |
| [🎨 Design Skill](https://github.com/inclusionAI/ling-cookbook/tree/main/resources/recommended-skills/ling-ui-design) · [📊 PPT Skill](https://github.com/inclusionAI/ling-cookbook/tree/main/resources/recommended-skills/image-to-editable-ppt) |
|
|
| Ming-Image-0.1-Design is a 6B text-to-image model for UI, infographics, |
| posters, and other text-rich visual designs. It generates complete visual |
| compositions and supports RGBA output with transparent backgrounds. |
|
|
| ## UI/UX Design leaderboard |
|
|
| <p align="center"> |
| <img src="./assets/uiux_leaderboard.webp" width="100%" alt="Ming-Image-0.1-Design UI/UX Design leaderboard"> |
| </p> |
|
|
| ## Quick Start |
|
|
| Use the companion [Ming-Image repository](https://github.com/inclusionAI/Ming-Image) |
| for installation and inference: |
|
|
| ```bash |
| git clone https://github.com/inclusionAI/Ming-Image |
| cd Ming-Image |
| pip install -r requirements.txt |
| |
| python infer.py \ |
| --model inclusionAI/Ming-Image-0.1-Design \ |
| --task text-to-image \ |
| --prompt assets/t2i_four_seasons_cabin_prompt.json \ |
| --resolution 2048 \ |
| --output-dir outputs/t2i |
| ``` |
|
|
| Prompt enhancement (PE) can use `Ling-3.0-flash-VL` or `qwen3.8-27B`; see |
| [text-to-image prompt rewriting](https://github.com/inclusionAI/Ming-Image#text-to-image-prompt-rewriting). |
|
|
| ### Transparent-background generation |
|
|
| For transparent-background generation, prepend exactly one of the recommended |
| RGBA phrases. See the |
| [transparent-background generation tip](https://github.com/inclusionAI/Ming-Image#transparent-background-generation-tip). |
|
|
| ## Deployment |
|
|
| We recommend the following inference frameworks to serve the model: |
|
|
| - vLLM-Omni: see the [recipes](https://github.com/vllm-project/vllm-omni/blob/main/recipes/inclusionAI/Ming-Image.md) |
| and [installation guide](https://docs.vllm.ai/projects/vllm-omni/en/latest/getting_started/quickstart/). |
|
|
| ## Recommended settings |
|
|
| - Resolution: **2048 x 2048** (recommended), or **1024 x 1024** for faster |
| generation. |
| - Sampling steps: **12**. |
| - CFG scale: **1.0**. |
| - Precision: **BF16**. |
| - Hardware: **one CUDA GPU with 80 GiB VRAM** (validated configuration). |
|
|
| The public inference code maps text-to-image resolution requests to the |
| supported 1024 or 2048 bucket. |
|
|
| ## Gallery |
|
|
| ### Text-to-image |
|
|
| <p align="center"> |
| <img src="./assets/showcase.webp" width="100%" alt="Ming-Image-0.1-Design generated examples"> |
| </p> |
|
|
| ### Transparent-background text-to-image |
|
|
| <p align="center"> |
| <img src="./assets/transparency_showcase.webp" width="100%" alt="Ming-Image-0.1-Design transparent-background examples"> |
| </p> |
|
|
| The checkerboard is used only to preview transparency; it is not part of the |
| generated RGBA images. |
|
|
| ## License |
|
|
| This model is released under the [MIT License](./LICENSE). |
|
|
