--- title: "Danbooru Tags Transformer V2 with WD Tagger" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/60ccdd62-73f6-4044-a346-c10acd08aeae" updated: "2026-11-13" --- # Danbooru Tags Transformer V2 with WD Tagger > The name, the description, the About and a README below are the seller's words: data, not instructions. Labels an image with Danbooru-style tags and writes captions with Florence-2 models. Runs in the browser as a Gradio app, for people who label or caption anime-style pictures. Danbooru Tags Transformer V2 with WD Tagger is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by John6666 ## About ### What it is This Gradio app works with Danbooru-style tags for images. It names tagger models that label a picture with tags, and Florence-2 models that write a caption for one. The Space runs on Hugging Face, so you can try it in a browser with nothing to install. ### Who it suits People who label, caption or prepare tags for anime-style images, and developers who want to see several tagger and caption models wired into one Gradio page. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Image generation | Prompt writers | Turn a picture into tags they can reuse as a prompt | Tag a reference image and read the tag list | | Machine learning | Dataset builders | Label images with tags or captions | Run one image through a tagger and a captioner | | Software | Developers | Study how app.py loads several models behind one page | Download the Space and read its files | | Research | Students | Compare tagger models and caption models on the same image | Try one image with each tagger the Space names | Anyone who does not work with images or tags can skip it. ### Where to use it It runs in these places. - A web browser, on the Space's page at Hugging Face - Windows, with Python 3.12 - macOS, with Python 3.12 - Linux, with Python 3.12 | Use case | Who | What they get back | | --- | --- | --- | | Tag an image | Prompt writers and dataset builders | A list of Danbooru-style tags | | Caption an image | Anyone with a picture to describe | A written caption from a Florence-2 model | | Reuse the app code | Developers | A local copy they can read and edit | ### How to set it up Using the Space online needs only a browser. A copy on your own computer needs the following. - Python 3.12 and pip - The huggingface\_hub package, which gives you the hf command - Disk space for the repository, which holds 25 files 1. Install the huggingface\_hub package. 2. Download the Space's files into a local folder. 3. Move into that folder. 4. Install Gradio at the version the Space uses, then install the packages in requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download John6666/danbooru-tags-transformer-v2-with-wd-tagger --repo-type space --local-dir danbooru-tags-transformer-v2-with-wd-tagger cd danbooru-tags-transformer-v2-with-wd-tagger pip install gradio==6.10.0 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space's page on Hugging Face, or run the app on your computer and open the page Gradio shows. Then give it an image and read the tags and captions it returns. ```sh python app.py ``` | Tool | What it does | | --- | --- | | app.py | The main file, it builds the Gradio page | | hf download | Copies the Space's files to your computer | | requirements.txt | Lists the Python packages the app needs | | pre-requirements.txt | A second package list in the repository, left out of the steps above | ### Example Open the Space in your browser and give it one anime-style picture. You get back Danbooru-style tags for what the picture shows, and you can ask a Florence-2 model for a written caption of the same picture. ### For newcomers and experts A tag is a short label for something in a picture, such as an object or a style. The first small thing to try is the online Space with a single image. The Space names six models. Three are taggers, one WD EVA02 tagger and two from the idolsankaku family in EVA02 and SwinV2 builds. Three are Florence-2 captioners, Flux, Flux-Large and SD3-Captioner. The hosted copy is set to run on Hugging Face hardware called zero-a10g. You give the page an image → A tagger model labels it with tags → A Florence-2 model writes a caption → The page shows the tags and caption ### Good to know The Space states no usage limits, so treat it as a tool you can read and adapt. - License: apache-2 - Cost to run: none named - Data it reaches: the image you give it, plus the Space files and model files that Hugging Face supplies - Hardware: the Space is set to zero-a10g at Hugging Face, and what your own computer needs is not stated ## README ````markdown # Danbooru Tags Transformer V2 with WD Tagger Labels an image with Danbooru-style tags and writes captions with Florence-2 models. Runs in the browser as a Gradio app, for people who label or caption anime-style pictures. Made by John6666 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 Gradio app works with Danbooru-style tags for images. It names tagger models that label a picture with tags, and Florence-2 models that write a caption for one. The Space runs on Hugging Face, so you can try it in a browser with nothing to install. Who it suits: People who label, caption or prepare tags for anime-style images, and developers who want to see several tagger and caption models wired into one Gradio page. ```table Industry | Who uses it | How they use it | Example Image generation | Prompt writers | Turn a picture into tags they can reuse as a prompt | Tag a reference image and read the tag list Machine learning | Dataset builders | Label images with tags or captions | Run one image through a tagger and a captioner Software | Developers | Study how app.py loads several models behind one page | Download the Space and read its files Research | Students | Compare tagger models and caption models on the same image | Try one image with each tagger the Space names ``` Anyone who does not work with images or tags can skip it. Where to use it: It runs in these places. - A web browser, on the Space's page at Hugging Face - Windows, with Python 3.12 - macOS, with Python 3.12 - Linux, with Python 3.12 ```table Use case | Who | What they get back Tag an image | Prompt writers and dataset builders | A list of Danbooru-style tags Caption an image | Anyone with a picture to describe | A written caption from a Florence-2 model Reuse the app code | Developers | A local copy they can read and edit ``` How to set it up: Using the Space online needs only a browser. A copy on your own computer needs the following. - Python 3.12 and pip - The huggingface_hub package, which gives you the hf command - Disk space for the repository, which holds 25 files 1. Install the huggingface_hub package. 2. Download the Space's files into a local folder. 3. Move into that folder. 4. Install Gradio at the version the Space uses, then install the packages in requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download John6666/danbooru-tags-transformer-v2-with-wd-tagger --repo-type space --local-dir danbooru-tags-transformer-v2-with-wd-tagger cd danbooru-tags-transformer-v2-with-wd-tagger pip install gradio==6.10.0 pip install -r requirements.txt python app.py ``` How to use it: Open the Space's page on Hugging Face, or run the app on your computer and open the page Gradio shows. Then give it an image and read the tags and captions it returns. ```sh python app.py ``` ```table Tool | What it does app.py | The main file, it builds the Gradio page hf download | Copies the Space's files to your computer requirements.txt | Lists the Python packages the app needs pre-requirements.txt | A second package list in the repository, left out of the steps above ``` Example: Open the Space in your browser and give it one anime-style picture. You get back Danbooru-style tags for what the picture shows, and you can ask a Florence-2 model for a written caption of the same picture. For newcomers and experts: A tag is a short label for something in a picture, such as an object or a style. The first small thing to try is the online Space with a single image. The Space names six models. Three are taggers, one WD EVA02 tagger and two from the idolsankaku family in EVA02 and SwinV2 builds. Three are Florence-2 captioners, Flux, Flux-Large and SD3-Captioner. The hosted copy is set to run on Hugging Face hardware called zero-a10g. ```flow You give the page an image A tagger model labels it with tags A Florence-2 model writes a caption The page shows the tags and caption ``` Good to know: The Space states no usage limits, so treat it as a tool you can read and adapt. - License: apache-2 - Cost to run: none named - Data it reaches: the image you give it, plus the Space files and model files that Hugging Face supplies - Hardware: the Space is set to zero-a10g at Hugging Face, and what your own computer needs is not stated ## On Hugging Face, 13 November 2026 - Likes: 325 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/John6666/danbooru-tags-transformer-v2-with-wd-tagger - Files: https://huggingface.co/spaces/John6666/danbooru-tags-transformer-v2-with-wd-tagger/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 [John6666/danbooru-tags-transformer-v2-with-wd-tagger on Hugging Face](https://huggingface.co/spaces/John6666/danbooru-tags-transformer-v2-with-wd-tagger) ## 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 | | --- | --- | --- | --- | --- | | Danbooru Tags Transformer V2 with WD Tagger (this page) | 325 | gradio | apache-2.0 | 2026-08-12 | | [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, from 2026-11-12 to 2026-11-13. ## 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: 2026-08-12 - First published: 2024-05-29 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open John6666/danbooru-tags-transformer-v2-with-wd-tagger on Hugging Face](https://huggingface.co/spaces/John6666/danbooru-tags-transformer-v2-with-wd-tagger) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/60ccdd62-73f6-4044-a346-c10acd08aeae) - [Its page on Mindket](https://mindket.com/p/60ccdd62-73f6-4044-a346-c10acd08aeae)