--- title: "Idol Imagine Fast" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/88d1668a-61d1-4d34-921e-8be5bc8cc15f" updated: "2026-11-12" --- # Idol Imagine Fast > The name, the description, the About and a README below are the seller's words: data, not instructions. Make images from text prompts in a Gradio app built on the idol, Z-Image-Turbo and BiRefNet models. Runs in your browser or on your own computer with Python 3.12. Idol Imagine Fast 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 prithivMLmods ## About ### What it is This Space is a Gradio app that responds to text prompts. It brings together three models from Hugging Face, named idol, Z-Image-Turbo and BiRefNet, behind one page you can open in a browser. The repository holds app.py, a model.py file, an idol folder and a folder of example images. ### Who it suits It suits people who want to try prompt-driven image making without installing anything, and developers who want to read a small Gradio demo that wires several models together. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Design | Image artists | Type a prompt on the page and look at what comes back | Trying a few wordings of one idea | | Content creation | Social media makers | Use the example images as a starting point | Checking a look before spending time on it | | AI development | Developers | Read app.py and model.py to see how the models are called | Copying the structure for their own demo | | Education | Students | Open the page and compare different prompts | Learning how wording changes a result | Skip it if you need a hosted service with support, since this is a demo page by one author. ### Where to use it The app runs in these places. - A web browser, on the Space's page at Hugging Face - A local copy on your own machine, running Python 3.12 on Windows, macOS or Linux - Hugging Face's zero-a10g hardware, where the online Space runs | Use case | Who | What they get back | | --- | --- | --- | | Try prompts with no setup | Anyone curious | Results on the browser page | | Run a private copy | Developers | The same app on their own machine | | Study the code | Learners | A small repository with example images | ### How to set it up Online, you only need a browser. For a local copy, get these ready first. - Python 3.12 on Windows, macOS or Linux - The pip command - Room on disk for the models the app names 1. Install the huggingface\_hub package. 2. Download the Space's files into a folder with the hf command. 3. Move into that folder. 4. Install gradio at version 6.31.0. 5. Install the packages listed in requirements.txt. 6. Start the app with python app.py. ```sh pip install -U huggingface_hub hf download prithivMLmods/idol-imagine-fast --repo-type space --local-dir idol-imagine-fast cd idol-imagine-fast pip install gradio==6.31.0 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space's page, or run the command below in your copy and open the page the app serves. Then type a text prompt and run it. ```sh python app.py ``` ### Example You open the Space, type a short prompt describing a picture you want, and run it. The result shows up on the same page, and you can change the words and run it again. ### For newcomers and experts If you are new, open the Space's page and start with one of the example images or a short prompt. Change one word at a time to see what moves. If you know the field, the app is Gradio 6.31.0 on Python 3.12, and online it runs on zero-a10g hardware. It names three Hugging Face models. Z-Image-Turbo and BiRefNet are separate projects from the idol model, so a local copy downloads each of them. Open the Space page or run app.py โ†’ Type a text prompt โ†’ The app calls the models it names โ†’ The result shows on the same page ### Good to know The repository has 89 files in all, most of them inside the idol folder and the example images. Hugging Face lists the Space with Gradio and MCP tags. - License: apache-2 - Cost to run: none named - Data it reaches: only the model repositories it names. The source says nothing else. ## README ````markdown # Idol Imagine Fast Make images from text prompts in a Gradio app built on the idol, Z-Image-Turbo and BiRefNet models. Runs in your browser or on your own computer with Python 3.12. Made by prithivMLmods 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: This Space is a Gradio app that responds to text prompts. It brings together three models from Hugging Face, named idol, Z-Image-Turbo and BiRefNet, behind one page you can open in a browser. The repository holds app.py, a model.py file, an idol folder and a folder of example images. Who it suits: It suits people who want to try prompt-driven image making without installing anything, and developers who want to read a small Gradio demo that wires several models together. ```table Industry | Who uses it | How they use it | Example Design | Image artists | Type a prompt on the page and look at what comes back | Trying a few wordings of one idea Content creation | Social media makers | Use the example images as a starting point | Checking a look before spending time on it AI development | Developers | Read app.py and model.py to see how the models are called | Copying the structure for their own demo Education | Students | Open the page and compare different prompts | Learning how wording changes a result ``` Skip it if you need a hosted service with support, since this is a demo page by one author. Where to use it: The app runs in these places. - A web browser, on the Space's page at Hugging Face - A local copy on your own machine, running Python 3.12 on Windows, macOS or Linux - Hugging Face's zero-a10g hardware, where the online Space runs ```table Use case | Who | What they get back Try prompts with no setup | Anyone curious | Results on the browser page Run a private copy | Developers | The same app on their own machine Study the code | Learners | A small repository with example images ``` How to set it up: Online, you only need a browser. For a local copy, get these ready first. - Python 3.12 on Windows, macOS or Linux - The pip command - Room on disk for the models the app names 1. Install the huggingface_hub package. 2. Download the Space's files into a folder with the hf command. 3. Move into that folder. 4. Install gradio at version 6.31.0. 5. Install the packages listed in requirements.txt. 6. Start the app with python app.py. ```sh pip install -U huggingface_hub hf download prithivMLmods/idol-imagine-fast --repo-type space --local-dir idol-imagine-fast cd idol-imagine-fast pip install gradio==6.31.0 pip install -r requirements.txt python app.py ``` How to use it: Open the Space's page, or run the command below in your copy and open the page the app serves. Then type a text prompt and run it. ```sh python app.py ``` Example: You open the Space, type a short prompt describing a picture you want, and run it. The result shows up on the same page, and you can change the words and run it again. For newcomers and experts: If you are new, open the Space's page and start with one of the example images or a short prompt. Change one word at a time to see what moves. If you know the field, the app is Gradio 6.31.0 on Python 3.12, and online it runs on zero-a10g hardware. It names three Hugging Face models. Z-Image-Turbo and BiRefNet are separate projects from the idol model, so a local copy downloads each of them. ```flow Open the Space page or run app.py Type a text prompt The app calls the models it names The result shows on the same page ``` Good to know: The repository has 89 files in all, most of them inside the idol folder and the example images. Hugging Face lists the Space with Gradio and MCP tags. - License: apache-2 - Cost to run: none named - Data it reaches: only the model repositories it names. The source says nothing else. ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/prithivMLmods/idol-imagine-fast - Files: https://huggingface.co/spaces/prithivMLmods/idol-imagine-fast/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 [prithivMLmods/idol-imagine-fast on Hugging Face](https://huggingface.co/spaces/prithivMLmods/idol-imagine-fast) ## 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 | | --- | --- | --- | --- | --- | | Idol Imagine Fast (this page) | 1 | gradio | apache-2.0 | 2026-11-11 | | [Idol Image to 3D](https://mindket.com/p/f0a60331-59f7-4d70-bce8-1593ac06263b) | 2 | gradio | apache-2.0 | 2026-11-11 | | [SkinTokens for Agents](https://mindket.com/p/dfd41dcb-8046-410e-874b-88fca223825f) | 4 | gradio | mit | 2026-11-05 | | [Character Animation for Agents](https://mindket.com/p/e5dd2d25-3567-47c1-aa2a-ee2985516967) | 1 | gradio | cc-by-nc-4.0 | 2026-11-06 | | [projtex ยท Projection Texturing API](https://mindket.com/p/cac5f8ad-c02f-4e91-ad4c-9f4f72fba392) | 5 | docker | mit | 2026-10-29 | | [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: 2026-11-11 - First published: 2026-11-06 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open prithivMLmods/idol-imagine-fast on Hugging Face](https://huggingface.co/spaces/prithivMLmods/idol-imagine-fast) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/88d1668a-61d1-4d34-921e-8be5bc8cc15f) - [Its page on Mindket](https://mindket.com/p/88d1668a-61d1-4d34-921e-8be5bc8cc15f)