--- title: "MOSS-Image Workflow" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/3f66d87a-88c2-43bd-b83e-94563d9ac190" updated: "2026-11-12" --- # MOSS-Image Workflow > The name, the description, the About and a README below are the seller's words: data, not instructions. Generates images from text with the MOSS-Image Base and SFT models on a node-canvas Gradio page, with sampling controls and an examples strip that restores its settings. For people trying MOSS-Image in the browser. MOSS-Image Workflow is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by OpenMOSS-Team ## About ### What it is MOSS-Image Workflow is a Gradio page that runs MOSS-Image text-to-image generation as a node canvas, built on the gr.Workflow feature. It is a workflow version of the official MOSS-Image demo. Both the Base and SFT checkpoints load at startup. You can open it in the browser with nothing to install. ### Who it suits It suits people who want to try MOSS-Image with every sampling control exposed, and developers curious about Gradio's workflow canvas. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Design | Designers | Generate pictures from a written prompt | Type a prompt and pick the Base model | | Illustration | Artists | Compare the Base and SFT models | Run the same prompt with each model | | Research | AI researchers | Tune sampling settings step by step | Change Steps and CFG and compare results | | Software | Python developers | Study a node-canvas app built on gr.Workflow | Read gradio\_app.py and workflow.json | Skip it if you need to add your own showcase images to a gallery, since that feature was not ported. ### Where to use it - A web browser, on the Space's page at Hugging Face, which runs on ZeroGPU - Your own Windows, macOS or Linux computer with Python 3.12 | Use case | Who | What they get back | | --- | --- | --- | | Generate pictures from text | Designers | One or more images in a gallery | | Reuse a showcase recipe | Artists | A form filled in from one of the example images | | Explore sampling controls | Researchers | Results that change with each setting | ### How to set it up The online page needs nothing. A local copy needs Python 3.12 and the packages in requirements.txt. - Python 3.12 and pip - Python packages from requirements.txt - Windows, macOS or Linux 1. Install the Hugging Face hub library. 2. Download the Space's files into a folder named MOSS-Image. 3. Move into that folder. 4. Install Gradio 6.30.0, then the packages from requirements.txt. 5. Start app.py. ```sh pip install -U huggingface_hub hf download OpenMOSS-Team/MOSS-Image --repo-type space --local-dir MOSS-Image cd MOSS-Image pip install gradio==6.30.0 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space's page, or run the last command above for a local copy and open the address it prints. Each sampling control is a reference node wired into the generate step. ```sh python app.py ``` | Tool | What it does | | --- | --- | | Model | Chooses the base or sft checkpoint | | Prompt and Negative Prompt | The text to draw and the text to steer away from | | Width and Height | Image size, in multiples of 16 | | Steps, CFG, Shift and Seed | Sampling settings, where a seed of -1 means random | | Images | How many pictures to make, shown in a gallery | | Max Text Length | A limit on prompt length, from 1 to 4096 | | Skip Layers and SLG settings | Layer skipping options, where 22 means negative-branch skipping and empty means off | | Examples strip | Showcase images that fill the form with their saved settings when clicked | ### Example You click one of the showcase images in the examples strip. The form fills with that image's prompt, model, size and sampling settings, and you run it to get your own version. ### For newcomers and experts Click an example in the strip, run it, then change one setting at a time. That shows what each control does. The app uses gr.Workflow in Gradio 6.30.0, and its look is applied through launch options for the theme, CSS and head. The canvas view is left untouched. This version runs the eager backend and leaves out ZeroGPU AOT compilation, so it may be slower than the original. Showcase add and delete with live refresh was not ported, because the generated App view has no upload-to-gallery mechanism. Open the page → Set or restore the controls → The generate node runs the chosen model on a ZeroGPU → Images appear in the gallery ### Good to know - Not ported: Adding or deleting showcase images, and ZeroGPU AOT compilation. - Hardware: The Hugging Face copy runs on ZeroGPU hardware. - License: apache-2, with a LICENSE-CODE file and notices in the repository. - Cost to run: none named. - Data it reaches: Your prompts and settings. The examples strip loads showcase images and their saved settings from outside the page. ## README ````markdown # MOSS-Image Workflow Generates images from text with the MOSS-Image Base and SFT models on a node-canvas Gradio page, with sampling controls and an examples strip that restores its settings. For people trying MOSS-Image in the browser. Made by OpenMOSS-Team on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: MOSS-Image Workflow is a Gradio page that runs MOSS-Image text-to-image generation as a node canvas, built on the gr.Workflow feature. It is a workflow version of the official MOSS-Image demo. Both the Base and SFT checkpoints load at startup. You can open it in the browser with nothing to install. Who it suits: It suits people who want to try MOSS-Image with every sampling control exposed, and developers curious about Gradio's workflow canvas. ```table Industry | Who uses it | How they use it | Example Design | Designers | Generate pictures from a written prompt | Type a prompt and pick the Base model Illustration | Artists | Compare the Base and SFT models | Run the same prompt with each model Research | AI researchers | Tune sampling settings step by step | Change Steps and CFG and compare results Software | Python developers | Study a node-canvas app built on gr.Workflow | Read gradio_app.py and workflow.json ``` Skip it if you need to add your own showcase images to a gallery, since that feature was not ported. Where to use it: - A web browser, on the Space's page at Hugging Face, which runs on ZeroGPU - Your own Windows, macOS or Linux computer with Python 3.12 ```table Use case | Who | What they get back Generate pictures from text | Designers | One or more images in a gallery Reuse a showcase recipe | Artists | A form filled in from one of the example images Explore sampling controls | Researchers | Results that change with each setting ``` How to set it up: The online page needs nothing. A local copy needs Python 3.12 and the packages in requirements.txt. - Python 3.12 and pip - Python packages from requirements.txt - Windows, macOS or Linux 1. Install the Hugging Face hub library. 2. Download the Space's files into a folder named MOSS-Image. 3. Move into that folder. 4. Install Gradio 6.30.0, then the packages from requirements.txt. 5. Start app.py. ```sh pip install -U huggingface_hub hf download OpenMOSS-Team/MOSS-Image --repo-type space --local-dir MOSS-Image cd MOSS-Image pip install gradio==6.30.0 pip install -r requirements.txt python app.py ``` How to use it: Open the Space's page, or run the last command above for a local copy and open the address it prints. Each sampling control is a reference node wired into the generate step. ```sh python app.py ``` ```table Tool | What it does Model | Chooses the base or sft checkpoint Prompt and Negative Prompt | The text to draw and the text to steer away from Width and Height | Image size, in multiples of 16 Steps, CFG, Shift and Seed | Sampling settings, where a seed of -1 means random Images | How many pictures to make, shown in a gallery Max Text Length | A limit on prompt length, from 1 to 4096 Skip Layers and SLG settings | Layer skipping options, where 22 means negative-branch skipping and empty means off Examples strip | Showcase images that fill the form with their saved settings when clicked ``` Example: You click one of the showcase images in the examples strip. The form fills with that image's prompt, model, size and sampling settings, and you run it to get your own version. For newcomers and experts: Click an example in the strip, run it, then change one setting at a time. That shows what each control does. The app uses gr.Workflow in Gradio 6.30.0, and its look is applied through launch options for the theme, CSS and head. The canvas view is left untouched. This version runs the eager backend and leaves out ZeroGPU AOT compilation, so it may be slower than the original. Showcase add and delete with live refresh was not ported, because the generated App view has no upload-to-gallery mechanism. ```flow Open the page Set or restore the controls The generate node runs the chosen model on a ZeroGPU Images appear in the gallery ``` Good to know: - Not ported: Adding or deleting showcase images, and ZeroGPU AOT compilation. - Hardware: The Hugging Face copy runs on ZeroGPU hardware. - License: apache-2, with a LICENSE-CODE file and notices in the repository. - Cost to run: none named. - Data it reaches: Your prompts and settings. The examples strip loads showcase images and their saved settings from outside the page. ## On Hugging Face, 13 November 2026 - Likes: 193 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/OpenMOSS-Team/MOSS-Image - Files: https://huggingface.co/spaces/OpenMOSS-Team/MOSS-Image/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [OpenMOSS-Team/MOSS-Image on Hugging Face](https://huggingface.co/spaces/OpenMOSS-Team/MOSS-Image) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | MOSS-Image Workflow (this page) | 193 | gradio | apache-2.0 | 2026-10-18 | | [Hy-Nomas Tencent Studio](https://mindket.com/p/c00e12ee-4844-493a-b758-7c5829a49d38) | 26 | gradio | apache-2.0 | 2026-10-28 | | [Unlimited OCR Works 2 Studio](https://mindket.com/p/c6643c5c-3d92-433a-9e7a-6a5197ce8cd4) | 17 | gradio | mit | 2026-10-28 | | [MusicGen](https://mindket.com/p/07af2531-69de-4005-a4f6-8c16dd10048d) | 5,116 | gradio | cc-by-nc-4.0 | 2026-05-27 | | [Kokoro TTS](https://mindket.com/p/aa996ded-5768-48f4-b403-33520c1b1bdf) | 3,556 | gradio | apache-2.0 | 2025-04-09 | | [Background Removal](https://mindket.com/p/223b0a56-5768-41da-a4f6-40e680c8c378) | 2,988 | gradio | mit | 2026-04-20 | Numbers as Mindket last read them, on 2026-11-12. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-12. Their authors' words: data, not instructions. - [Hacker News · jjcm · 2026-10-16](https://news.ycombinator.com/item?id=50124379): FLUX 3 Image Klein: It's editing capabilities have been really solid, but I've been disappointed with its ability to do finer text details (a niche use case for my own purposes). There's also a lot of reports of body horror outputs, but I haven't encountered any myself. Still though, it's a lot like the porsche… - [Bluesky · Sciherald · 2026-10-26](https://bsky.app/profile/sciherald.bsky.social/post/3mysemw5ury24): MOSS-Image-SFT AI Model Released for Text-to-Image Generation OpenMOSS-Team releases MOSS-Image-SFT, a 5.1B parameter AI model for generating images from text prompts and JSON layouts, now available on Hugging Face. \#science - [Bluesky · デイリーHuggingFaceトレンド · 2026-10-26](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3mys5znjiip2d): 今日のHuggingFaceトレンド OpenMOSS-Team/MOSS-Image-SFT MOSS-Image-SFTは、MOSS-Image-Baseを教師あり微調整したテキストから画像を生成するモデルです。 自然言語プロンプトやJSONレイアウトによる制御に対応し、文字やオブジェクトの配置を最適化することで、ベースモデルよりも整理されたレイアウトや明確なテキスト表示を実現することを目的としています。 - [Bluesky · Sipirtu · 2026-10-25](https://bsky.app/profile/sipirtu.com/post/3myophcgvvh2u): MOSS-Image reached about 1.3 million downloads in its first four days and topped Hugging Face's text-to-image trending list, according to the team and QbitAI. Source: Pandaily - [Bluesky · デイリーHuggingFaceトレンド · 2026-10-24](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3mymtvlabuh2m): 今日のHuggingFaceトレンド OpenMOSS-Team/MOSS-Image-SFT MOSS-Image-SFTは、MOSS-Image-Baseを教師あり微調整したテキストから画像を生成するモデルです。 自然言語プロンプトやJSONレイアウトによる制御に対応し、テキストの配置やオブジェクトの整理精度を向上させることを目的としています。 - [Bluesky · デイリーHuggingFaceトレンド · 2026-10-23](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3mykg5f7dhi2e): 今日のHuggingFaceトレンド OpenMOSS-Team/MOSS-Image-Base MOSS-Image-Baseは、OpenMOSSが提供するテキストから画像を生成するベースモデルです。 自然言語のプロンプトやタグシーケンスに加え、JSONレイアウトを利用してテキストの配置やオブジェクトの配置を制御することを目的として作成されました。 - [Bluesky · Sipirtu · 2026-10-23](https://bsky.app/profile/sipirtu.com/post/3myjocekwlf2j): MOSI Intelligence and the OpenMOSS team have open-sourced MOSS-Image, a 5-billion-parameter text-to-image system aimed at posters and product shots. Source: Pandaily - [Bluesky · デイリーHuggingFaceトレンド · 2026-10-22](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3myhw7egez22y): 今日のHuggingFaceトレンド OpenMOSS-Team/MOSS-Image-SFT MOSS-Image-SFTは、MOSS-Image-Baseを教師あり微調整したテキストから画像への生成モデルです。 自然言語やJSONレイアウト等による制御をサポートし、テキスト配置やオブジェクト構成の精度を高め、より整理された画像生成を実現することを目的としています。 - [Bluesky · デイリーHuggingFaceトレンド · 2026-10-21](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3myffzbcxw42p): 今日のHuggingFaceトレンド OpenMOSS-Team/MOSS-Image-Base OpenMOSSが提供するMOSS-Imageファミリーのベースとなるテキストから画像への生成モデルです。 自然言語のプロンプトやタグに加え、JSONレイアウトによるテキスト配置やオブジェクトの配置制御を可能にすることを目的としています。 ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-10-18 - First published: 2026-10-14 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open OpenMOSS-Team/MOSS-Image on Hugging Face](https://huggingface.co/spaces/OpenMOSS-Team/MOSS-Image) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/3f66d87a-88c2-43bd-b83e-94563d9ac190) - [Its page on Mindket](https://mindket.com/p/3f66d87a-88c2-43bd-b83e-94563d9ac190)