<p>Ming-Image-0.1-Design is a 6B text-to-image model built for visual design work: UI mockups, infographics, posters, slides and anything else where the text has to come out right. It renders legible type as part of the composition instead of the usual generative-model scribble, and it can output RGBA with a transparent background.</p>

<p><strong>Originally released by <a target="_blank" rel="ugc" href="https://huggingface.co/inclusionAI/Ming-Image-0.1-Design">inclusionAI</a> on Hugging Face under the MIT license.</strong> All credit for the model goes to the inclusionAI team. Civitai is hosting a mirror so creators can run it on-site without a local install - please head to the original repository for weights, updates and to follow the project directly.</p>

<h3><strong>Built by</strong></h3>
<ul>
<li><a target="_blank" rel="ugc" href="https://huggingface.co/inclusionAI">inclusionAI</a> - the Ming-Image series and the Ling-mini-2.0 text encoder it runs on</li>
<li><a target="_blank" rel="ugc" href="https://github.com/inclusionAI/Ming-Image">The Ming-Image repository</a> - reference inference code, prompt rewriting and the layer-decomposition demo</li>
<li><a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Ming-Image">Comfy-Org</a> - the repackaged single-file weights this mirror is built from</li>
</ul>

<h3><strong>Text-rich design, not just pictures</strong></h3>
<p>The model was trained for complete visual compositions rather than single subjects. Prompts that describe a layout - headings, body copy, callouts, spacing - are what it is built to answer, and it places readable text inside that layout. It sits near the top of the Artificial Analysis UI/UX design leaderboard.</p>

<h3><strong>Transparent backgrounds</strong></h3>
<p>Ming-Image-0.1-Design generates RGBA output with genuine alpha, so a logo, sticker or UI element comes out ready to composite. Upstream recommends prepending one of the RGBA trigger phrases documented in the <a target="_blank" rel="ugc" href="https://github.com/inclusionAI/Ming-Image#transparent-background-generation-tip">transparent-background tip</a> to switch it on.</p>

<h3><strong>Recommended settings</strong></h3>
<ul>
<li><strong>Resolution:</strong> 2048 x 2048 for best quality, 1024 x 1024 for speed. Output is square at the selected bucket.</li>
<li><strong>Steps:</strong> 12.</li>
<li><strong>CFG scale:</strong> 1.0. Negative prompts do nothing at CFG 1.</li>
<li><strong>Precision:</strong> BF16.</li>
</ul>
<p>Upstream also suggests running prompts through a rewriter first - <code>Ling-3.0-flash-VL</code> or a comparable VLM - since the model responds well to long, structured design briefs.</p>

<h3><strong>The Layer model</strong></h3>
<p>The series has a second 6B model, <a target="_blank" rel="ugc" href="https://huggingface.co/inclusionAI/Ming-Image-0.1-Design-Layer">Ming-Image-0.1-Design-Layer</a>, which takes a flattened design and splits it back into separate transparent layers you can edit. It is a different checkpoint with its own task and is not part of this model page.</p>

<h3><strong>Links</strong></h3>
<ul>
<li><strong>Source:</strong> <a target="_blank" rel="ugc" href="https://huggingface.co/inclusionAI/Ming-Image-0.1-Design">inclusionAI/Ming-Image-0.1-Design</a> on Hugging Face</li>
<li><strong>Code:</strong> <a target="_blank" rel="ugc" href="https://github.com/inclusionAI/Ming-Image">github.com/inclusionAI/Ming-Image</a></li>
<li><strong>ModelScope:</strong> <a target="_blank" rel="ugc" href="https://www.modelscope.cn/models/inclusionAI/Ming-Image-0.1-Design">inclusionAI/Ming-Image-0.1-Design</a></li>
<li><strong>Demo:</strong> <a target="_blank" rel="ugc" href="https://huggingface.co/spaces/hugging-apps/ming-image-0-1-design-demo">Hugging Face Space</a></li>
<li><strong>Agent skills:</strong> <a target="_blank" rel="ugc" href="https://github.com/inclusionAI/ling-cookbook/tree/main/resources/recommended-skills/ling-ui-design">Ling UI Design</a> and <a target="_blank" rel="ugc" href="https://github.com/inclusionAI/ling-cookbook/tree/main/resources/recommended-skills/image-to-editable-ppt">Image to Editable PPT</a></li>
</ul>

Ming Image Design

mingImageDesign_v01_txt_bf16.safetensors

ming_image_vae_bf16.safetensors

mingImageDesign_v01_bf16.safetensors

mingImageDesign_v01_int8.safetensors

mingImageDesign_v01_txt_int4.safetensors

mingImageDesign_v01_txt_int8.safetensors

v0.1

<p>The VAE used by both Ming-Image-0.1-Design checkpoints, hosted separately so any Ming Image model - ours or a community finetune - can point at it instead of shipping its own copy. One file, BF16, about 242 MB.</p>

<p><strong>Originally released by <a target="_blank" rel="ugc" href="https://huggingface.co/inclusionAI">inclusionAI</a> on Hugging Face under the MIT license</strong>, and repackaged as a single file for ComfyUI by <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Ming-Image">Comfy-Org</a>. All credit for the weights goes to the inclusionAI team.</p>

<h3><strong>One VAE for the whole series</strong></h3>
<p>Unlike the <a target="_blank" rel="ugc" href="https://civarchive.com/models/2963922">text encoders</a>, which differ between the base and layer-decomposition checkpoints, the VAE is shared. The same file serves <a target="_blank" rel="ugc" href="https://civarchive.com/models/2961930">Ming Image Design</a> and <a target="_blank" rel="ugc" href="https://civarchive.com/models/2962010">Ming Image Design Layer</a>, and it is unchanged from the upstream release.</p>

<h3><strong>Where it goes</strong></h3>
<p>In ComfyUI, <code>models/vae/</code>. This is a component rather than a runnable model, so there is no Generate button and no on-site generation - if you want to generate with Ming, that is the <a target="_blank" rel="ugc" href="https://civarchive.com/models/2961930">Ming Image Design</a> page, where the VAE is already handled for you. You only need this file if you are running Ming locally, or running a finetune whose author did not bundle it.</p>

<h3><strong>Links</strong></h3>
<ul>
<li><strong>Source:</strong> <a target="_blank" rel="ugc" href="https://huggingface.co/inclusionAI/Ming-Image-0.1-Design">inclusionAI/Ming-Image-0.1-Design</a></li>
<li><strong>Repackaged file:</strong> <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Ming-Image">Comfy-Org/Ming-Image</a></li>
<li><strong>Code:</strong> <a target="_blank" rel="ugc" href="https://github.com/inclusionAI/Ming-Image">github.com/inclusionAI/Ming-Image</a></li>
<li><strong>Text encoders:</strong> <a target="_blank" rel="ugc" href="https://civarchive.com/models/2963922">Ming Image Text Encoders</a></li>
</ul>

Ming Image VAE

mingImageVAE_v01.safetensors

<h2 id="ming-image">Ming-Image</h2><p>Ming Image 0.1 Design by inclusionAI (MIT), packaged by Comfy-Org for ComfyUI: photorealistic, uncensored out of the box, and it writes clean text.</p><h3 id="what-it-does-well">What it does well</h3><ul><li><p>Photographic nudes and portraits with natural skin texture, no LoRA needed</p></li><li><p>About 20 seconds per image at 1 megapixel on an 8 GB card with the int8 file</p></li><li><p>Clean typography on posters, covers and labels, in English and Chinese</p></li><li><p>Also anime and painted illustration</p></li><li><p>Plain-caption prompts: who, what she does, where, the light</p></li></ul><h3 id="which-file">Which file</h3><ul><li><p>8 GB cards and up: int8 convrot, 6.2 GB, the default</p></li><li><p>bf16, 12.3 GB: full precision, for merging and training</p></li></ul><h3 id="settings">Settings</h3><p>12 steps, cfg 1, euler, simple, about 1 megapixel (832x1248 or 1024x1024), the size the model is tuned for; 2048 px also works. The text encoder (ming_image_0.1_ling_mini_2.0_w4a8, 12.8 GB, in models/text_encoders) and the VAE (ming_image_vae_bf16, in models/vae) are both on this page. Needs a ComfyUI build with native Ming Image support: the main branch from 24 September 2026, or the next release.</p><h3 id="notes">Notes</h3><ul><li><p>The negative prompt does nothing at cfg 1</p></li><li><p>Nudity renders out of the box; explicit sex acts do not yet, the base has not learned them</p></li><li><p>The current files are Comfy-Org's, future release will include fine tuning</p></li></ul><p>Don't use it on real people.</p><p>中文：基于 inclusionAI 的 Ming Image 0.1 Design（MIT 许可），由 Comfy-Org 打包的原版文件：开箱即可生成写实裸体照片，文字渲染清晰。8G 显存用 int8 convrot（6.2 GB），bf16（12.3 GB）用于融合与训练。文本编码器（12.8 GB）和 VAE 也在本页。12 步，cfg 1，约 100 万像素。需要原生支持 Ming 的 ComfyUI。</p><h3 id="license">License</h3><p>MIT, Copyright (c) 2026 inclusionAI.</p>

Ming-Image-0.1-Design (uncensored, ComfyUI) | 夜曲 ✨

<p>Ming Image 0.1 Design for ComfyUI: Comfy-Org's int8 convrot and bf16 files, </p><p>With the VAE and a workflow at 12 steps, cfg 1.</p>

mingImage01DesignUncensored_v10_int8.safetensors

mingImage01DesignUncensored_v10_bf16.safetensors

mingImage01DesignUncensored_v10.json

mingImage01DesignUncensored_v10_3242150.safetensors

mingImage01DesignUncensored_v10.txt

v1.0

<h2>Ming-Image-0.1-Design Text-to-Image Workflow</h2><p>A text-to-image workflow for inclusionAI's Ming-Image-0.1-Design in ComfyUI: core nodes only, runs on an 8 GB card.</p><h3>What you get</h3><ul><li>One clean graph in four groups: models, prompt, size, sample and save</li><li>ComfyUI offers to download the three model files if they are missing (Comfy-Org, Hugging Face)</li><li>The reference settings: 12 steps, cfg 1, euler, simple</li><li>A note in the graph with sizes, timings and prompting tips</li></ul><h3>Files it loads</h3><ul><li>ming_image_0.1_design_int8_convrot (6.2 GB) in models/diffusion_models, or the bf16 file (12.3 GB)</li><li>ming_image_0.1_ling_mini_2.0_w4a8 (12.8 GB) in models/text_encoders</li><li>ming_image_vae_bf16 (0.25 GB) in models/vae</li><li>The model files are also on Civitai: <a href="https://civarchive.com/models/2961185" rel="ugc">https://civarchive.com/models/2961185</a></li></ul><h3>Size and speed</h3><ul><li>1024 (about 1 megapixel: 1024x1024, 832x1248 or 1248x832): about 22 s per image on an RTX 4070 Laptop 8 GB</li><li>2048 (2048x2048, the size inclusionAI recommends): about 85 s on the same card</li></ul><h3>Prompting</h3><p>Write a plain caption: who or what, what happens, where, the light. Put any text to render in double quotes; English and Chinese both work. At cfg 1 the negative prompt does nothing.</p><h3>Needs</h3><p>ComfyUI with native Ming Image support: the main branch from 24 September 2026, or the next release. No custom nodes.</p><h3>About the images</h3><p>Made with this workflow, unchanged, at 832x1248. Drag any of them into ComfyUI to load it.</p><p>中文：Ming-Image-0.1-Design 的 ComfyUI 文生图工作流，只用核心节点，8G 显存可运行。缺少的模型文件 ComfyUI 会提示下载。12 步，cfg 1，euler，simple；1024 尺寸约 22 秒一张，2048 尺寸约 85 秒。需要原生支持 Ming 的 ComfyUI。</p><h3>License</h3><p>Workflow: MIT, noctaluna. Ming-Image-0.1: MIT, Copyright (c) 2026 inclusionAI.</p>

Ming-Image-0.1-Design Text-to-Image Workflow (ComfyUI)

<p>Text to image with Ming-Image-0.1-Design: core nodes, 12 steps, cfg 1, runs on 8 GB.</p>

Files with SHA256: 7f5bed402dc8c77dc2e0ab1929a85d4df433b7cf7b599dfa8c353da98db0b90a