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inclusionAI

Ming-Image-0.1-Design

VerifiedNew6.2BImageSafetensors
Address
Identical bytes on
Status
Verified
Trending
#26
Downloads, 30 days
0
Weights
52.9 GB
Sources
2
Revision
Manifest

🧩 ModelScope · 🤗 Hugging Face · 📄 Blog · 🖥️ Demo 🎨 Design Skill · 📊 PPT Skill

At a glance

Task
Text to image
Input
text
Output
image
Parameters
6.2B
Precision
BF16
Format
Safetensors
Library
custom
License
MITCommercial use
Released
Sep 2026
Updated
Sep 2026
Likes
198
Downloads, all time
0

Family

Models built on Ming-Image-0.1-Design.

Quantized5Fine tuned6

Run it

Pinned to the indexed revision.

hf download inclusionAI/Ming-Image-0.1-Design --revision 208087ada1486931692c1896f38d4cd16ff3df82

Through the hub: the same tools, each file from a source that is up (Hugging Face, ModelScope, IPFS), at this revision. The second line checks every file against its address.

export HF_ENDPOINT=https://gethologram.ai
cd "$(hf download inclusionAI/Ming-Image-0.1-Design --quiet)" && curl -s $HF_ENDPOINT/inclusionAI/Ming-Image-0.1-Design/resolve/main/SHA256SUMS | sha256sum -c --quiet

Spaces

Used in 2 Spaces.

inclusionAI/ming-image-0-1-design-demolinoyts/ming-app-generator
Read the full model card

Ming-Image-0.1-Design

🧩 ModelScope · 🤗 Hugging Face · 📄 Blog · 🖥️ Demo

🎨 Design Skill · 📊 PPT Skill

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

Ming-Image-0.1-Design UI/UX Design leaderboard

Quick Start

Use the companion Ming-Image repository for installation and inference:

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.

Transparent-background generation

For transparent-background generation, prepend exactly one of the recommended RGBA phrases. See the transparent-background generation tip.

Deployment

We recommend the following inference frameworks to serve the model:

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

Ming-Image-0.1-Design generated examples

Transparent-background text-to-image

Ming-Image-0.1-Design transparent-background examples

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.

Derived on Sep 24, 2026 from Hugging Face at revision 208087ad, README.md .