--- title: "LTX-LoRAs" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/74838282-79f2-4767-8eef-c8968da0836c" updated: "2026-11-13" --- # LTX-LoRAs > The name, the description, the About and a README below are the seller's words: data, not instructions. Adds LoRA files for the LTX 2.3 video model that fill masked areas of a video, with or without a visual reference, plus an experimental video-editing LoRA. Made for video creators who work with LTX 2.3. LTX-LoRAs 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 Alissonerdx ## About ### What it is This repository holds LoRA files trained for LTX 2.3, a video generation model from Lightricks. Most of them do inpainting, which means replacing a masked area of a video. One version also accepts a visual reference, and an experimental Edit Anything LoRA handles add, remove, replace and style changes. ### Who it suits It suits video creators and tinkerers who already run LTX 2.3 and want to edit part of a clip, or who want to test video editing and build synthetic datasets. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Video production | Video editors | Replace an object in part of a clip | Swap a masked item for a new one | | Visual effects | Compositors | Guide a replacement with a reference image | Use a reference to steer the new object | | AI research | Dataset builders | Make synthetic edit pairs, especially style-focused ones | Run the Edit Anything LoRA on test clips | | Hobby creators | Experimenters | Test prompts and edit behavior | Compare the 2500-step and 10000-step files | If you do not run LTX 2.3, or you need polished production output, you can skip it. ### Where to use it These files load into an LTX 2.3 workflow that supports LoRAs and the guide nodes the card names. - A workflow that uses the LTXVAddGuideMulti node - The Blockify Mask node from KJNodes - Windows, macOS or Linux, for downloading the files | Use case | Who | What they get back | | --- | --- | --- | | Video inpainting | Editors | The masked region of a video filled according to your prompt | | Reference-guided inpainting | Effects artists | A replacement shaped by a visual reference | | Experimental editing | Researchers | Add, remove, replace and style edits for testing | ### How to set it up You need the LTX 2.3 base model and a workflow that can load LoRAs. Prepare the files and a guide video with the mask built in. 1. Install the Hugging Face hub tools. 2. Download the repository files. 3. Pick a checkpoint from the card's file list. 4. Load it in your LTX 2.3 workflow, with the mask embedded in the guide video. ```sh pip install -U huggingface_hub hf download Alissonerdx/LTX-LoRAs ``` ### How to use it Keep the mask out of its own channel. Combine the mask video and the guide video into one video, then feed it in through the LTXVAddGuideMulti node. The colors matter. Paint the mask magenta, and color the reference's green zone with chroma key green. | Tool | What it does | | --- | --- | | LTXVAddGuideMulti | Passes the guide video, with the mask inside it, to the model | | Blockify Mask | Makes the mask blocky like the training data, with size 8 as the default | | hf download | Fetches the LoRA files to your computer | ### Example You have a clip where one object should change. You paint that area magenta in the guide video, write a prompt that describes the replacement, and load the reference-based inpainting file with a reference image. The model fills the masked region as the prompt and reference direct. ### For newcomers and experts A LoRA is a small add-on file that gives a big model a new skill. A first try is the 2500-step inpainting file with a simple mask and a clear prompt. The inpainting files learned from one fixed guide and mask layout, using 8 by 8 blocks, so inference should copy that layout. The 2500-step checkpoint follows prompts better, while the 10000-step one uses the masked area better but may overfit. You can expand the mask up to 512, which makes it a full rectangle. Download the LoRA files → Prepare a guide video with a magenta mask → Pass it in with the guide node → Write a clear prompt → Compare checkpoints on your clip ### Good to know Results depend a lot on the checkpoint, the prompt and the mask, so the card suggests trying more than one. - Mask colors: magenta for the mask and chroma key green for the reference area. - Prompting: for the reference-based file, prompt quality and mask size matter a lot. - Edit Anything: experimental, trained on 8,000 video pairs, and may change as training goes on. - Quality: the Edit Anything file is for testing, not polished professional output. - License: Apache 2.0. - Cost to run: none named. It needs LTX 2.3 and your own hardware. - Data it reaches: the videos, masks and reference images you provide. - Not for: professional-grade output from the Edit Anything file. ## README ````markdown # LTX-LoRAs Adds LoRA files for the LTX 2.3 video model that fill masked areas of a video, with or without a visual reference, plus an experimental video-editing LoRA. Made for video creators who work with LTX 2.3. Made by Alissonerdx on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face. ## About What it is: This repository holds LoRA files trained for LTX 2.3, a video generation model from Lightricks. Most of them do inpainting, which means replacing a masked area of a video. One version also accepts a visual reference, and an experimental Edit Anything LoRA handles add, remove, replace and style changes. Who it suits: It suits video creators and tinkerers who already run LTX 2.3 and want to edit part of a clip, or who want to test video editing and build synthetic datasets. ```table Industry | Who uses it | How they use it | Example Video production | Video editors | Replace an object in part of a clip | Swap a masked item for a new one Visual effects | Compositors | Guide a replacement with a reference image | Use a reference to steer the new object AI research | Dataset builders | Make synthetic edit pairs, especially style-focused ones | Run the Edit Anything LoRA on test clips Hobby creators | Experimenters | Test prompts and edit behavior | Compare the 2500-step and 10000-step files ``` If you do not run LTX 2.3, or you need polished production output, you can skip it. Where to use it: These files load into an LTX 2.3 workflow that supports LoRAs and the guide nodes the card names. - A workflow that uses the LTXVAddGuideMulti node - The Blockify Mask node from KJNodes - Windows, macOS or Linux, for downloading the files ```table Use case | Who | What they get back Video inpainting | Editors | The masked region of a video filled according to your prompt Reference-guided inpainting | Effects artists | A replacement shaped by a visual reference Experimental editing | Researchers | Add, remove, replace and style edits for testing ``` How to set it up: You need the LTX 2.3 base model and a workflow that can load LoRAs. Prepare the files and a guide video with the mask built in. 1. Install the Hugging Face hub tools. 2. Download the repository files. 3. Pick a checkpoint from the card's file list. 4. Load it in your LTX 2.3 workflow, with the mask embedded in the guide video. ```sh pip install -U huggingface_hub hf download Alissonerdx/LTX-LoRAs ``` How to use it: Keep the mask out of its own channel. Combine the mask video and the guide video into one video, then feed it in through the LTXVAddGuideMulti node. The colors matter. Paint the mask magenta, and color the reference's green zone with chroma key green. ```table Tool | What it does LTXVAddGuideMulti | Passes the guide video, with the mask inside it, to the model Blockify Mask | Makes the mask blocky like the training data, with size 8 as the default hf download | Fetches the LoRA files to your computer ``` Example: You have a clip where one object should change. You paint that area magenta in the guide video, write a prompt that describes the replacement, and load the reference-based inpainting file with a reference image. The model fills the masked region as the prompt and reference direct. For newcomers and experts: A LoRA is a small add-on file that gives a big model a new skill. A first try is the 2500-step inpainting file with a simple mask and a clear prompt. The inpainting files learned from one fixed guide and mask layout, using 8 by 8 blocks, so inference should copy that layout. The 2500-step checkpoint follows prompts better, while the 10000-step one uses the masked area better but may overfit. You can expand the mask up to 512, which makes it a full rectangle. ```flow Download the LoRA files Prepare a guide video with a magenta mask Pass it in with the guide node Write a clear prompt Compare checkpoints on your clip ``` Good to know: Results depend a lot on the checkpoint, the prompt and the mask, so the card suggests trying more than one. - Mask colors: magenta for the mask and chroma key green for the reference area. - Prompting: for the reference-based file, prompt quality and mask size matter a lot. - Edit Anything: experimental, trained on 8,000 video pairs, and may change as training goes on. - Quality: the Edit Anything file is for testing, not polished professional output. - License: Apache 2.0. - Cost to run: none named. It needs LTX 2.3 and your own hardware. - Data it reaches: the videos, masks and reference images you provide. - Not for: professional-grade output from the Edit Anything file. ## On Hugging Face, 13 November 2026 - Library: ltx - Downloads in the last 30 days: 8,461 - Likes: 231 - License: apache-2.0 - Based on: Lightricks/LTX-2.3 - Tags: lora, inpaint ## Links - Model: https://huggingface.co/Alissonerdx/LTX-LoRAs - Files: https://huggingface.co/Alissonerdx/LTX-LoRAs/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download Alissonerdx/LTX-LoRAs ``` Then follow the usage in its model card. 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 [Alissonerdx/LTX-LoRAs on Hugging Face](https://huggingface.co/Alissonerdx/LTX-LoRAs) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | LTX-LoRAs (this page) | 8,461 | 231 | — | apache-2.0 | 2026-10-25 | | [MOSS-Image-SFT-4-steps](https://mindket.com/p/93e7242c-c8ed-4b9c-b82c-c4feed6c356f) | 73,131 | 96 | 5.1B | apache-2.0 | 2026-10-20 | | [Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled-GGUF](https://mindket.com/p/e69239ed-602f-46a8-8c61-e1bb0dd73291) | 39,987 | 188 | 4.2B | apache-2.0 | 2026-04-06 | | [Krea2 Turbo OpenPose ControlNet LoRA](https://mindket.com/p/cb5a01f0-290f-43be-ad6a-4190cae6ce3a) | 18,552 | 133 | — | apache-2.0 | 2026-08-19 | | [QMA Camera Angles](https://mindket.com/p/32fe7da6-e9d2-49e7-abbb-bde4f434c0c2) | 13,875 | 55 | — | apache-2.0 | 2026-10-13 | | [Kev-4B](https://mindket.com/p/68069a2c-2995-41a5-941c-ff7bf45f95ac) | 12,499 | 175 | — | apache-2.0 | 2026-10-01 | 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: 2026-10-25 - First published: 2026-03-22 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Alissonerdx/LTX-LoRAs on Hugging Face](https://huggingface.co/Alissonerdx/LTX-LoRAs) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/74838282-79f2-4767-8eef-c8968da0836c) - [Its page on Mindket](https://mindket.com/p/74838282-79f2-4767-8eef-c8968da0836c)