--- title: "StdGEN" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/3308df1a-621a-4942-9acf-8dccc0730120" updated: "2026-11-12" --- # StdGEN > The name, the description, the About and a README below are the seller's words: data, not instructions. A Gradio app from hyz317 whose repository holds staged inference scripts and a Blender folder, which runs online in the browser or on your own computer with Python. StdGEN is a kit in the Developer 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 hyz317 ## About ### What it is StdGEN is a Gradio app that hyz317 published as a Hugging Face Space. Its repository is large, with 97 files. It holds separate inference scripts and folders named canonicalize, multiview, refine and slrm, a blender folder and two folders of input cases. ### Who it suits Developers who want to read or run a multi-stage Gradio project, and people who want to open the app in a browser. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Machine learning | Researchers | Read the staged inference scripts and configs | Following how the stages are split across scripts | | Software development | Gradio developers | Download the files and read app.py | Studying how a larger Gradio app is laid out | | Education | Students | Run a copy with Python on their own machine | Following the listed steps from download to launch | Skip it if you want a hosted service with an API, since this is an app you open or run yourself. ### Where to use it StdGEN runs in these places. - A web browser: open the Space's page on Hugging Face - Python on Windows, macOS or Linux: run a copy of the Space | Use case | Who | What they get back | | --- | --- | --- | | Try it online | Anyone with a browser | The Gradio app running from the Space | | Run it locally | Developers with Python | A copy of the app started from app.py | | Read the code | Learners | Inference scripts, configs, input cases and a Blender folder | ### How to set it up Online use needs only a browser. A local copy needs a few things first. - A web browser for the online Space - Python on Windows, macOS or Linux for a local copy - The Python packages listed in requirements.txt 1. Install the Hugging Face hub library with pip. 2. Download the Space's files into a folder called StdGEN. 3. Move into that folder. 4. Install Gradio at the version the Space uses. 5. Install the packages listed in requirements.txt. 6. Start the app with Python. ```sh pip install -U huggingface_hub hf download hyz317/StdGEN --repo-type space --local-dir StdGEN cd StdGEN pip install gradio==5.20.1 pip install -r requirements.txt python app.py ``` ### How to use it Online, open the Space's page and use the app in your tab. On your own computer, start it from the folder with the command below. ```sh python app.py ``` | Tool | What it does | | --- | --- | | python app.py | Starts the Gradio app from the main file | | pip install -r requirements.txt | Installs the packages the app needs | | hf download | Fetches the Space's files into a local folder | ### Example You download the Space with the hf command, install Gradio 5.20.1 and the listed packages, then run python app.py. The app starts from your local copy of the files. ### For newcomers and experts If you are new, open the Space's page and look at what the app offers. Running it online needs no setup, so start there before you try a local copy. If you know the field, note that the repository names six models from other authors, among them Stable Diffusion v1 releases, a DINO model and a DDPM model. It also holds a pre-requirements file that the listed steps do not use. A local copy pins Gradio 5.20.1, the same version as the Space. Open the Space or run app.py → Gradio serves the app → You use it in your browser ### Good to know It is a single Gradio app, so what you can do is limited to what its page offers. - Version: Gradio 5.20.1 - Models named: CompVis stable-diffusion v1-1 to v1-4, facebook/dino-vitb16 and google/ddpm-celebahq-256 - Size: 97 files in the repository - License: apache-2 - Cost to run: none named - Data it reaches: the models it names, none else named - Not for: no forbidden uses are named ## README ````markdown # StdGEN A Gradio app from hyz317 whose repository holds staged inference scripts and a Blender folder, which runs online in the browser or on your own computer with Python. Made by hyz317 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: StdGEN is a Gradio app that hyz317 published as a Hugging Face Space. Its repository is large, with 97 files. It holds separate inference scripts and folders named canonicalize, multiview, refine and slrm, a blender folder and two folders of input cases. Who it suits: Developers who want to read or run a multi-stage Gradio project, and people who want to open the app in a browser. ```table Industry | Who uses it | How they use it | Example Machine learning | Researchers | Read the staged inference scripts and configs | Following how the stages are split across scripts Software development | Gradio developers | Download the files and read app.py | Studying how a larger Gradio app is laid out Education | Students | Run a copy with Python on their own machine | Following the listed steps from download to launch ``` Skip it if you want a hosted service with an API, since this is an app you open or run yourself. Where to use it: StdGEN runs in these places. - A web browser: open the Space's page on Hugging Face - Python on Windows, macOS or Linux: run a copy of the Space ```table Use case | Who | What they get back Try it online | Anyone with a browser | The Gradio app running from the Space Run it locally | Developers with Python | A copy of the app started from app.py Read the code | Learners | Inference scripts, configs, input cases and a Blender folder ``` How to set it up: Online use needs only a browser. A local copy needs a few things first. - A web browser for the online Space - Python on Windows, macOS or Linux for a local copy - The Python packages listed in requirements.txt 1. Install the Hugging Face hub library with pip. 2. Download the Space's files into a folder called StdGEN. 3. Move into that folder. 4. Install Gradio at the version the Space uses. 5. Install the packages listed in requirements.txt. 6. Start the app with Python. ```sh pip install -U huggingface_hub hf download hyz317/StdGEN --repo-type space --local-dir StdGEN cd StdGEN pip install gradio==5.20.1 pip install -r requirements.txt python app.py ``` How to use it: Online, open the Space's page and use the app in your tab. On your own computer, start it from the folder with the command below. ```sh python app.py ``` ```table Tool | What it does python app.py | Starts the Gradio app from the main file pip install -r requirements.txt | Installs the packages the app needs hf download | Fetches the Space's files into a local folder ``` Example: You download the Space with the hf command, install Gradio 5.20.1 and the listed packages, then run python app.py. The app starts from your local copy of the files. For newcomers and experts: If you are new, open the Space's page and look at what the app offers. Running it online needs no setup, so start there before you try a local copy. If you know the field, note that the repository names six models from other authors, among them Stable Diffusion v1 releases, a DINO model and a DDPM model. It also holds a pre-requirements file that the listed steps do not use. A local copy pins Gradio 5.20.1, the same version as the Space. ```flow Open the Space or run app.py Gradio serves the app You use it in your browser ``` Good to know: It is a single Gradio app, so what you can do is limited to what its page offers. - Version: Gradio 5.20.1 - Models named: CompVis stable-diffusion v1-1 to v1-4, facebook/dino-vitb16 and google/ddpm-celebahq-256 - Size: 97 files in the repository - License: apache-2 - Cost to run: none named - Data it reaches: the models it names, none else named - Not for: no forbidden uses are named ## On Hugging Face, 13 November 2026 - Likes: 60 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/hyz317/StdGEN - Files: https://huggingface.co/spaces/hyz317/StdGEN/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, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [hyz317/StdGEN on Hugging Face](https://huggingface.co/spaces/hyz317/StdGEN) ## 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 | | --- | --- | --- | --- | --- | | StdGEN (this page) | 60 | gradio | apache-2.0 | 2025-03-17 | | [FLUX.1 dev](https://mindket.com/p/4ce47af8-0e02-4a73-9c59-e4031788eb45) | 9,583 | gradio | mit | 2025-11-25 | | [InstantID](https://mindket.com/p/54fcb36c-756a-4797-80c1-05779f87ebbd) | 3,659 | gradio | apache-2.0 | 2025-08-26 | | [Chat With Janus-Pro-7B](https://mindket.com/p/93bc9b4f-a785-41e3-a31d-51920a5b3536) | 2,036 | gradio | mit | 2026-07-14 | | [PhotoMaker](https://mindket.com/p/b3e336b4-4a67-4e52-8c2e-1e94d392ac71) | 1,960 | gradio | apache-2.0 | 2025-08-28 | | [Z Image Turbo](https://mindket.com/p/adfd87b7-3f3e-405e-95c8-1957bc0da52a) | 1,940 | gradio | apache-2.0 | 2026-05-22 | Numbers as Mindket last read them, on 2026-11-12. ## 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: 2025-03-17 - First published: 2025-03-13 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open hyz317/StdGEN on Hugging Face](https://huggingface.co/spaces/hyz317/StdGEN) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/3308df1a-621a-4942-9acf-8dccc0730120) - [Its page on Mindket](https://mindket.com/p/3308df1a-621a-4942-9acf-8dccc0730120)