Ming Image.Get started

THE INDEPENDENT MING IMAGE GUIDE

Ming Image.
Your ideas,
by design.

Get to know Ming Image, the open-source model built for design. Clear guides, useful prompts, and a practical place to start.

Explore the guide Installation guide
Less trial and error. More making.
FROM WORDS TO DESIGN
01 — A little old-school.↗
One prompt. A starting point.
Selected official model examples0.1 / DESIGN
MEET THE MODELMing Image 0.1 Design
6BParameter model
Text → imageMade for design tasks
RGBATransparent output
Open sourceMIT model license

THE STARTING POINT

A little guidance goes a long way.

Three things to know before your first prompt.
START HERE

GETTING STARTED THE BASICS

From a blank prompt to
your first design.

Give your idea a shape, a palette, and a clear direction.

Build your first prompt
PROMPT NOTES

TEXT & LAYOUT COPY & TRY

Good design starts
with clear instructions.

Be specific about your words, their position, and the space around them.

Write a clearer prompt

TRANSPARENT IMAGES COPY & TRY

Make room for
a transparent background.

Understand RGBA output and the separate layer model.

Understand transparency

Cabin and storefront images: inclusionAI model examples. Layer illustration: this guide.

WORDS INTO SOMETHING WORTH MAKING

Start small. Get specific.

Try these starter prompts, then change one detail at a time. These are suggestions, not tested outputs.

01 / COMPOSITION

Give every element a place.

Name the format, subject, palette, and layout. Start with one focal point; add details after the first result.

A square botanical poster. Warm ivory background. One green fern centered in the lower two-thirds. Large dark-green title “GROW SLOW” across the top. Small text “A little more green, every day.” below the title. Wide empty margins. No other text.

02 / TEXT & TYPE

Say exactly what it should say.

Put the intended text in quotes and describe its position. Check spelling and small text before using the result.

A square coffee shop menu on cream paper. At the top, the heading “SUNDAY COFFEE”. Below, three clearly separated rows: “Espresso — 3”, “Flat white — 4”, and “Filter — 3.5”. Dark brown type. A small line drawing of a cup in the bottom-right corner. No extra words.

03 / TRANSPARENT OUTPUT

Start with the background.

Use one RGBA prefix at the beginning. Inspect the saved alpha channel; a checkerboard drawn into an image is not transparency.

RGBA, 4-channel, transparent background. A single illustrated orange with two dark-green leaves. Centered composition, crisp edges, subtle paper texture. No text, no frame, no ground plane.

Keep the first run simple. Use 12 steps and a CFG of 1.0 as a starting point. Save the prompt alongside the result so you can compare changes.

THE PRACTICAL PART

A home for
your first image.

Ready to run Ming Image yourself? Start with the official Python workflow.

Before you install

  • Python 3.10 or newer and Git
  • A CUDA-ready PyTorch environment
  • A GPU with at least 80 GiB of memory for the validated BF16 setup
  • Space for model weights and an internet connection for the first download

The commands here use a Linux shell. Full model inference needs the GPU setup above; installing the packages alone is not enough.

Not sure about your hardware?

1 Create a clean environment

Clone the project, activate a Python environment, and install its dependencies.

TERMINAL · BASH
git clone https://github.com/inclusionAI/Ming-Image.git
cd Ming-Image
python3 -m venv .venv
source .venv/bin/activate
python -m pip install -r requirements.txt

2 Generate your first image

Run the Design model with a short prompt. The first run also downloads the model weights.

TERMINAL · BASH
python infer.py \
  --model inclusionAI/Ming-Image-0.1-Design \
  --task text-to-image \
  --prompt "A botanical poster with the title 'GROW SLOW'. Cream background, green leaves, generous margins." \
  --width 1024 --height 1024 \
  --steps 12 --cfg 1.0 \
  --output-dir outputs/first-image

Find the result in outputs/first-image.

Something didn’t run? Check these first

No CUDA device: check that your GPU is available to PyTorch. Run python -c "import torch; print(torch.cuda.is_available())"; it should print True.

Out of memory: confirm the GPU meets the documented setup and close other GPU jobs. Smaller output dimensions do not guarantee the model will fit.

Attention error: keep the default eager setting. FlashAttention 2 is optional and needs a separate compatible installation.

A FEW GOOD QUESTIONS

Before you
get going.

The essentials, without the guesswork.

What is Ming Image?

Ming-Image-0.1-Design is an image-generation model from inclusionAI. It turns text instructions into images, with a focus on layouts such as posters, interfaces, and infographics. This site is an independent guide, not an image-generation service.

How do Design and Design-Layer differ?

Design creates a complete image from a prompt. The separate Design-Layer model takes a finished image and a layer plan, then separates the composition into transparent image layers. Choose Design for your first text-to-image test.

Can I use it on a regular laptop?

The official full-inference setup is validated on a CUDA GPU with at least 80 GiB of memory using BF16. That is beyond most laptops. Do not assume that a smaller GPU or a Mac will run these commands successfully. A hosted demo or suitable GPU server is the more practical starting point.

Does it create a working website?

No. An image of an interface is a design reference. It does not include working navigation, HTML, CSS, or application logic. Those need to be built separately.

What should I check before publishing an image?

Read every word at full size, inspect alignment and fine details, and check any factual labels or numbers. For a transparent PNG, preview it over both a light and a dark background. Review rights to any supplied logos, photos, or other source material.

YOUR NEXT STEP

One idea is all you need to start.

Pick a prompt. Make it yours. See what needs changing.

Find your first prompt

Updated September 29, 2026 · Based on the inclusionAI model card and setup documentation. Independent notes for Ming Image 0.1 Design.