--- title: "Kaloscope Artist Style Classifier" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/dc4f711c-31e3-4e4b-90a6-99d540e22b90" updated: "2026-11-12" --- # Kaloscope Artist Style Classifier > The name, the description, the About and a README below are the seller's words: data, not instructions. Classifies an image into Danbooru artist tags with the Kaloscope models, in a Gradio page. It suits people who tag or sort artwork, and developers who want to see how these models are run. Kaloscope Artist Style Classifier 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 DraconicDragon ## About ### What it is This Space is a Gradio app that classifies images by Danbooru artist tag using the Kaloscope family of models. The repository has scripts to run the models through ONNX, PyTorch or DINOv3, plus lsnet and v3 folders. The Space runs on Hugging Face's free CPU hardware. ### Who it suits It suits people who sort or tag artwork and want a guess at the artist style, and developers who want to see how these models are run. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Art tagging | Archivists and tag editors | Get artist tag suggestions for an image | An editor uploads a picture and reads the suggested artist tags. | | AI art | Dataset builders | Label training images by artist style | A builder checks a few images to judge the labels. | | Software | Developers | Read how one app switches between ONNX, PyTorch and DINOv3 inference | A developer opens the three inference scripts side by side. | If you need a verdict on who made a piece, skip it, because the app only classifies style. ### Where to use it - A web browser, through the Space's page on Hugging Face - A local copy on Windows, macOS or Linux, using Python | Use case | Who | What they get back | | --- | --- | --- | | Tag one image | Anyone | Danbooru artist tag guesses for the picture | | Try other model versions | Hobbyists | Results from the model versions the Space names | | Run it locally | Developers | The same page on your own computer | ### How to set it up - Python and pip on Windows, macOS or Linux - The packages listed in requirements.txt 1. Install the huggingface\_hub package. 2. Download the Space into a local folder named Kaloscope-artist-style-classifier. 3. Move into that folder. 4. Install gradio at version 6.29.1. 5. Install the packages listed in requirements.txt. 6. Start the app. ```sh pip install -U huggingface_hub hf download DraconicDragon/Kaloscope-artist-style-classifier --repo-type space --local-dir Kaloscope-artist-style-classifier cd Kaloscope-artist-style-classifier pip install gradio==6.29.1 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space's page, or start the app locally with the command below. Give the app an image and read the artist tags it returns. ```sh python app.py ``` | Tool | What it does | | --- | --- | | app.py | The main file, which starts the Gradio page | | inference\_onnx.py | Runs the model through ONNX, going by its name | | inference\_pytorch.py | Runs the model through PyTorch, going by its name | | inference\_dinov3.py | Runs a DINOv3 version, going by its name | ### Example You upload a drawing and run the classifier. The page returns a list of Danbooru artist tags that the model thinks match the style. ### For newcomers and experts If you are new, open the Space's page and try one picture. A Danbooru artist tag is the name an image board uses to label a creator. If you know the field, the Space names several Kaloscope versions, including 2.0 and a 3.0 preview, an ONNX export, and two lsnet\_b models. Which one the page uses by default is not stated. Upload an image → A Kaloscope model reads the style → Artist tags come back as text ### Good to know - The source gives only a one-line description, so scores and tag lists are not documented - The page does not say which model version it uses by default - License: apache-2 - Cost to run: none named - Data it reaches: the images you give it ## README ````markdown # Kaloscope Artist Style Classifier Classifies an image into Danbooru artist tags with the Kaloscope models, in a Gradio page. It suits people who tag or sort artwork, and developers who want to see how these models are run. Made by DraconicDragon 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 classifies images by Danbooru artist tag using the Kaloscope family of models. The repository has scripts to run the models through ONNX, PyTorch or DINOv3, plus lsnet and v3 folders. The Space runs on Hugging Face's free CPU hardware. Who it suits: It suits people who sort or tag artwork and want a guess at the artist style, and developers who want to see how these models are run. ```table Industry | Who uses it | How they use it | Example Art tagging | Archivists and tag editors | Get artist tag suggestions for an image | An editor uploads a picture and reads the suggested artist tags. AI art | Dataset builders | Label training images by artist style | A builder checks a few images to judge the labels. Software | Developers | Read how one app switches between ONNX, PyTorch and DINOv3 inference | A developer opens the three inference scripts side by side. ``` If you need a verdict on who made a piece, skip it, because the app only classifies style. Where to use it: - A web browser, through the Space's page on Hugging Face - A local copy on Windows, macOS or Linux, using Python ```table Use case | Who | What they get back Tag one image | Anyone | Danbooru artist tag guesses for the picture Try other model versions | Hobbyists | Results from the model versions the Space names Run it locally | Developers | The same page on your own computer ``` How to set it up: - Python and pip on Windows, macOS or Linux - The packages listed in requirements.txt 1. Install the huggingface_hub package. 2. Download the Space into a local folder named Kaloscope-artist-style-classifier. 3. Move into that folder. 4. Install gradio at version 6.29.1. 5. Install the packages listed in requirements.txt. 6. Start the app. ```sh pip install -U huggingface_hub hf download DraconicDragon/Kaloscope-artist-style-classifier --repo-type space --local-dir Kaloscope-artist-style-classifier cd Kaloscope-artist-style-classifier pip install gradio==6.29.1 pip install -r requirements.txt python app.py ``` How to use it: Open the Space's page, or start the app locally with the command below. Give the app an image and read the artist tags it returns. ```sh python app.py ``` ```table Tool | What it does app.py | The main file, which starts the Gradio page inference_onnx.py | Runs the model through ONNX, going by its name inference_pytorch.py | Runs the model through PyTorch, going by its name inference_dinov3.py | Runs a DINOv3 version, going by its name ``` Example: You upload a drawing and run the classifier. The page returns a list of Danbooru artist tags that the model thinks match the style. For newcomers and experts: If you are new, open the Space's page and try one picture. A Danbooru artist tag is the name an image board uses to label a creator. If you know the field, the Space names several Kaloscope versions, including 2.0 and a 3.0 preview, an ONNX export, and two lsnet_b models. Which one the page uses by default is not stated. ```flow Upload an image A Kaloscope model reads the style Artist tags come back as text ``` Good to know: - The source gives only a one-line description, so scores and tag lists are not documented - The page does not say which model version it uses by default - License: apache-2 - Cost to run: none named - Data it reaches: the images you give it ## On Hugging Face, 13 November 2026 - Likes: 61 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/DraconicDragon/Kaloscope-artist-style-classifier - Files: https://huggingface.co/spaces/DraconicDragon/Kaloscope-artist-style-classifier/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 [DraconicDragon/Kaloscope-artist-style-classifier on Hugging Face](https://huggingface.co/spaces/DraconicDragon/Kaloscope-artist-style-classifier) ## 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 | | --- | --- | --- | --- | --- | | Kaloscope Artist Style Classifier (this page) | 61 | gradio | apache-2.0 | 2026-10-07 | | [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: 2026-10-07 - First published: 2025-10-19 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open DraconicDragon/Kaloscope-artist-style-classifier on Hugging Face](https://huggingface.co/spaces/DraconicDragon/Kaloscope-artist-style-classifier) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/dc4f711c-31e3-4e4b-90a6-99d540e22b90) - [Its page on Mindket](https://mindket.com/p/dc4f711c-31e3-4e4b-90a6-99d540e22b90)