--- title: "Girlslike Lora Gallery" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/9671986e-1133-4a91-987d-28808b0089c0" updated: "2026-11-12" --- # Girlslike Lora Gallery > The name, the description, the About and a README below are the seller's words: data, not instructions. Gathers the girlslike LoRA series in one Gradio gallery so you can browse thumbnails and download the files. It runs on basic CPU hardware. Girlslike Lora Gallery 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 ifmylove2011 ## About ### What it is Girlslike Lora Gallery is a Gradio app that collects the girlslike series of LoRA files in one place. LoRAs are small add-on weights for image models. The Space names four repositories in the series and keeps a folder of thumbnails, with the aim of making the files easy to download. It runs on basic CPU hardware at Hugging Face. ### Who it suits People who use image-generation models and want to browse a set of LoRA files before downloading one. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Design | Digital artists | Browse LoRA options by thumbnail | Pick a LoRA from the gallery and download it | | Hobby | Image-generation fans | Collect LoRAs from one author in one place | Compare the four listed repositories | | Software | Developers | Study a thumbnail gallery in Gradio | Read thumbnail\_cache.py | | Research | Model researchers | See how a LoRA series is organized | Look at how the repositories are split | People who do not use LoRA files with an image model can skip it. ### Where to use it - A browser, by visiting the Space on Hugging Face - Windows, macOS or Linux with Python, for a copy on your own computer - A local Gradio page, once app.py is running | Use case | Who | What they get back | | --- | --- | --- | | Browse the series | Artists | A gallery with thumbnails of the LoRAs | | Download a LoRA | Image-generation users | The file for the LoRA you pick | ### How to set it up - Python and pip on Windows, macOS or Linux - The Python packages in requirements.txt - Gradio 6.6.0, the version the Space uses 1. Install the Hugging Face hub package. 2. Download the Space with the hf command. 3. Move into the new folder. 4. Install gradio at the version the Space uses, then the listed packages. 5. Start the app with Python. ```sh pip install -U huggingface_hub hf download ifmylove2011/girlslike_lora_gallery --repo-type space --local-dir girlslike_lora_gallery cd girlslike_lora_gallery pip install gradio==6.6.0 pip install -r requirements.txt python app.py ``` ### How to use it Online, visit the Space on Hugging Face and browse the gallery for the LoRA you want. On your own computer, run the start command and open the local page Gradio serves. ```sh python app.py ``` | Tool | What it does | | --- | --- | | app.py | Starts the Gradio gallery | | thumbnail\_cache.py | Handles the stored thumbnail pictures | | thumbnails | Holds the preview images | | requirements.txt | Lists the Python packages to install | ### Example You visit the Space, scroll through the thumbnails, and pick one LoRA from the series. You then download its file to use with your own image model. ### For newcomers and experts If you are new, a LoRA is a small file that changes how an image model draws. Visit the Space, look at the thumbnails, and download one to try. If you know the field, the Space lists four repositories under ifmylove2011: girlslike, girlslike-krea2, girlslike-qweni and girlslike-zimage. It keeps the gallery light on a basic CPU Space by caching thumbnails in thumbnail\_cache.py. The trade-off is that the source says little about which base model each LoRA targets. You visit the gallery → Thumbnails load from the cache → You pick a LoRA → You download its file ### Good to know - Hardware: the Space is set to cpu-basic, so no GPU is named - Scope: it lists four LoRA repositories and the thumbnails for them - Detail: the source gives few details about each LoRA - License: apache-2 - Cost to run: none named - Data it reaches: the four LoRA repositories on Hugging Face ## README ````markdown # Girlslike Lora Gallery Gathers the girlslike LoRA series in one Gradio gallery so you can browse thumbnails and download the files. It runs on basic CPU hardware. Made by ifmylove2011 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: Girlslike Lora Gallery is a Gradio app that collects the girlslike series of LoRA files in one place. LoRAs are small add-on weights for image models. The Space names four repositories in the series and keeps a folder of thumbnails, with the aim of making the files easy to download. It runs on basic CPU hardware at Hugging Face. Who it suits: People who use image-generation models and want to browse a set of LoRA files before downloading one. ```table Industry | Who uses it | How they use it | Example Design | Digital artists | Browse LoRA options by thumbnail | Pick a LoRA from the gallery and download it Hobby | Image-generation fans | Collect LoRAs from one author in one place | Compare the four listed repositories Software | Developers | Study a thumbnail gallery in Gradio | Read thumbnail_cache.py Research | Model researchers | See how a LoRA series is organized | Look at how the repositories are split ``` People who do not use LoRA files with an image model can skip it. Where to use it: - A browser, by visiting the Space on Hugging Face - Windows, macOS or Linux with Python, for a copy on your own computer - A local Gradio page, once app.py is running ```table Use case | Who | What they get back Browse the series | Artists | A gallery with thumbnails of the LoRAs Download a LoRA | Image-generation users | The file for the LoRA you pick ``` How to set it up: - Python and pip on Windows, macOS or Linux - The Python packages in requirements.txt - Gradio 6.6.0, the version the Space uses 1. Install the Hugging Face hub package. 2. Download the Space with the hf command. 3. Move into the new folder. 4. Install gradio at the version the Space uses, then the listed packages. 5. Start the app with Python. ```sh pip install -U huggingface_hub hf download ifmylove2011/girlslike_lora_gallery --repo-type space --local-dir girlslike_lora_gallery cd girlslike_lora_gallery pip install gradio==6.6.0 pip install -r requirements.txt python app.py ``` How to use it: Online, visit the Space on Hugging Face and browse the gallery for the LoRA you want. On your own computer, run the start command and open the local page Gradio serves. ```sh python app.py ``` ```table Tool | What it does app.py | Starts the Gradio gallery thumbnail_cache.py | Handles the stored thumbnail pictures thumbnails | Holds the preview images requirements.txt | Lists the Python packages to install ``` Example: You visit the Space, scroll through the thumbnails, and pick one LoRA from the series. You then download its file to use with your own image model. For newcomers and experts: If you are new, a LoRA is a small file that changes how an image model draws. Visit the Space, look at the thumbnails, and download one to try. If you know the field, the Space lists four repositories under ifmylove2011: girlslike, girlslike-krea2, girlslike-qweni and girlslike-zimage. It keeps the gallery light on a basic CPU Space by caching thumbnails in thumbnail_cache.py. The trade-off is that the source says little about which base model each LoRA targets. ```flow You visit the gallery Thumbnails load from the cache You pick a LoRA You download its file ``` Good to know: - Hardware: the Space is set to cpu-basic, so no GPU is named - Scope: it lists four LoRA repositories and the thumbnails for them - Detail: the source gives few details about each LoRA - License: apache-2 - Cost to run: none named - Data it reaches: the four LoRA repositories on Hugging Face ## On Hugging Face, 13 November 2026 - Likes: 153 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/ifmylove2011/girlslike_lora_gallery - Files: https://huggingface.co/spaces/ifmylove2011/girlslike_lora_gallery/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 [ifmylove2011/girlslike_lora_gallery on Hugging Face](https://huggingface.co/spaces/ifmylove2011/girlslike_lora_gallery) ## 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 | | --- | --- | --- | --- | --- | | Girlslike Lora Gallery (this page) | 153 | gradio | apache-2.0 | 2026-11-10 | | [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: 2026-11-10 - First published: 2026-02-24 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open ifmylove2011/girlslike_lora_gallery on Hugging Face](https://huggingface.co/spaces/ifmylove2011/girlslike_lora_gallery) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/9671986e-1133-4a91-987d-28808b0089c0) - [Its page on Mindket](https://mindket.com/p/9671986e-1133-4a91-987d-28808b0089c0)