--- title: "Smooth Gen" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/00968e74-f447-459b-ae5c-da9041aa589d" updated: "2026-11-12" --- # Smooth Gen > The name, the description, the About and a README below are the seller's words: data, not instructions. Smooths stop-motion footage and the gaps between generated images, using the RIFE and Adetailer models. For animators and image-generation users who want steadier motion between frames. Smooth Gen 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 alrobles ## About ### What it is Smooth Gen evens out stop-motion animation and the jumps between generated images. It is a small Gradio app that names two models, RIFE and Adetailer, in its setup. The README is a single line, so the exact controls are not described there. ### Who it suits It suits animators and AI-image users whose sequences look jumpy from one frame to the next. It also suits developers who want a compact example of a Gradio app that runs on a GPU Space. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Animation | Stop-motion artists | Soften the jumps between photographed frames | Load a short clip and compare it with the original | | Creative AI | Image-generation users | Link generated images into a steadier sequence | Smooth a run of images that share one subject | | Social media | Short-video makers | Make quick clips look less choppy | Prepare a loop for posting | | Software | Gradio developers | Read a compact app built on two named models | Copy the folder and run it locally | Anyone who wants to generate new images from a prompt can skip it, since this app works on frames you already have. ### Where to use it The app runs in two places. - A web browser, on the page of the Space at Hugging Face - Windows, macOS or Linux, as a local copy run with Python 3.12 | Use case | Who | What they get back | | --- | --- | --- | | Stop-motion smoothing | Animators | A steadier sequence from choppy frames | | Generation gaps | Image-generation users | A smoother link between generated images | | App study | Developers | A short repository with the app file and its packages | ### How to set it up The online page needs nothing installed. A local copy needs the following. - Python 3.12 - Windows, macOS or Linux - The packages listed in requirements.txt 1. Install Python 3.12. 2. Install the Hugging Face hub package and download a copy of the Space. 3. Move into the new folder and install Gradio 6.31.0 and the packages in requirements.txt. 4. Start the app with python app.py. ```sh pip install -U huggingface_hub hf download alrobles/smooth_gen --repo-type space --local-dir smooth_gen cd smooth_gen pip install gradio==6.31.0 pip install -r requirements.txt python app.py ``` ### How to use it Open the page in a browser, load the frames or images you want smoothed, and run it. On a local copy, this command starts the page. ```sh python app.py ``` | Tool | What it does | | --- | --- | | RIFE | A model the Space names, used to fill the gaps between frames | | Adetailer | A second model the Space names, used to refine the images | | app.py | Holds the Gradio page | | requirements.txt | Lists the Python packages the app needs | ### Example You have a stop-motion clip with visible jumps between frames. You load it into the page and run it, and you get back a smoother sequence to compare with the original. ### For newcomers and experts If you are new to this, start with a short clip of only a few frames. Run it once and watch the motion, then judge whether the gaps look softer. If you know the field, the Space names two models, r3gm/RIFE and Bingsu/adetailer, and runs on a ZeroGPU Space with A10G hardware. The repository has only the app file, the requirements and the README, so the pipeline order and settings are best read from app.py itself. Load frames or images → RIFE fills the gaps between them → Adetailer refines the images → A smoother sequence comes back ### Good to know The Space page gives one line of description and no usage guide. Read app.py to see what each control does. - License: MIT - Cost to run: none named - Data it reaches: the frames or images you give it, and the two models it names - Hardware: ZeroGPU with an A10G at Hugging Face ## README ````markdown # Smooth Gen Smooths stop-motion footage and the gaps between generated images, using the RIFE and Adetailer models. For animators and image-generation users who want steadier motion between frames. Made by alrobles 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: Smooth Gen evens out stop-motion animation and the jumps between generated images. It is a small Gradio app that names two models, RIFE and Adetailer, in its setup. The README is a single line, so the exact controls are not described there. Who it suits: It suits animators and AI-image users whose sequences look jumpy from one frame to the next. It also suits developers who want a compact example of a Gradio app that runs on a GPU Space. ```table Industry | Who uses it | How they use it | Example Animation | Stop-motion artists | Soften the jumps between photographed frames | Load a short clip and compare it with the original Creative AI | Image-generation users | Link generated images into a steadier sequence | Smooth a run of images that share one subject Social media | Short-video makers | Make quick clips look less choppy | Prepare a loop for posting Software | Gradio developers | Read a compact app built on two named models | Copy the folder and run it locally ``` Anyone who wants to generate new images from a prompt can skip it, since this app works on frames you already have. Where to use it: The app runs in two places. - A web browser, on the page of the Space at Hugging Face - Windows, macOS or Linux, as a local copy run with Python 3.12 ```table Use case | Who | What they get back Stop-motion smoothing | Animators | A steadier sequence from choppy frames Generation gaps | Image-generation users | A smoother link between generated images App study | Developers | A short repository with the app file and its packages ``` How to set it up: The online page needs nothing installed. A local copy needs the following. - Python 3.12 - Windows, macOS or Linux - The packages listed in requirements.txt 1. Install Python 3.12. 2. Install the Hugging Face hub package and download a copy of the Space. 3. Move into the new folder and install Gradio 6.31.0 and the packages in requirements.txt. 4. Start the app with python app.py. ```sh pip install -U huggingface_hub hf download alrobles/smooth_gen --repo-type space --local-dir smooth_gen cd smooth_gen pip install gradio==6.31.0 pip install -r requirements.txt python app.py ``` How to use it: Open the page in a browser, load the frames or images you want smoothed, and run it. On a local copy, this command starts the page. ```sh python app.py ``` ```table Tool | What it does RIFE | A model the Space names, used to fill the gaps between frames Adetailer | A second model the Space names, used to refine the images app.py | Holds the Gradio page requirements.txt | Lists the Python packages the app needs ``` Example: You have a stop-motion clip with visible jumps between frames. You load it into the page and run it, and you get back a smoother sequence to compare with the original. For newcomers and experts: If you are new to this, start with a short clip of only a few frames. Run it once and watch the motion, then judge whether the gaps look softer. If you know the field, the Space names two models, r3gm/RIFE and Bingsu/adetailer, and runs on a ZeroGPU Space with A10G hardware. The repository has only the app file, the requirements and the README, so the pipeline order and settings are best read from app.py itself. ```flow Load frames or images RIFE fills the gaps between them Adetailer refines the images A smoother sequence comes back ``` Good to know: The Space page gives one line of description and no usage guide. Read app.py to see what each control does. - License: MIT - Cost to run: none named - Data it reaches: the frames or images you give it, and the two models it names - Hardware: ZeroGPU with an A10G at Hugging Face ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: gradio - License: mit ## Links - Space: https://huggingface.co/spaces/alrobles/smooth_gen - Files: https://huggingface.co/spaces/alrobles/smooth_gen/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 [alrobles/smooth_gen on Hugging Face](https://huggingface.co/spaces/alrobles/smooth_gen) ## 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 | | --- | --- | --- | --- | --- | | Smooth Gen (this page) | 1 | gradio | mit | 2026-11-06 | | [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 | | [Omni Image Editor](https://mindket.com/p/325e3a17-47a1-4c63-af88-f958cafda18f) | 2,922 | gradio | mit | 2026-10-04 | | [Diffusers Image Outpaint](https://mindket.com/p/17629f6c-cc47-4be0-bc83-ff22dfa7389a) | 2,565 | gradio | apache-2.0 | 2026-05-13 | 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: 2026-11-06 - First published: 2026-11-06 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open alrobles/smooth_gen on Hugging Face](https://huggingface.co/spaces/alrobles/smooth_gen) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/00968e74-f447-459b-ae5c-da9041aa589d) - [Its page on Mindket](https://mindket.com/p/00968e74-f447-459b-ae5c-da9041aa589d)