--- title: "Licon MSR for LTX-2.5" kind: "Kit" category: "Marketing & SEO" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/0203f6be-651e-4565-b5d1-172557b55564" updated: "2026-11-13" --- # Licon MSR for LTX-2.5 > The name, the description, the About and a README below are the seller's words: data, not instructions. Keeps characters, clothing, objects and backgrounds consistent in generated video by feeding the model up to five reference images. A LoRA for LTX-2.5 in ComfyUI, with optional audio references for two speakers. Licon MSR for LTX-2.5 is a kit in the Marketing \& SEO 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 LiconStudio ## About ### What it is Licon MSR is a LoRA trained for the LTX-2.5 video model. It lets you hand the model several reference images, so a generated clip keeps the same characters, clothing, objects and scenes. The newer V2 release also accepts audio references for up to two speakers. ### Who it suits Video creators and ComfyUI users who want the same subjects to appear across generated shots. It fits anyone who already runs LTX-2.5 and wants more control over who and what shows up. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Video production | Short-film and clip makers | Supply character and scene references to keep a cast consistent | A clip with two characters and a set built from three images | | Marketing | Content creators | Place a product and a person into one generated shot | A product shown with a presenter reference | | Game and animation | Concept artists | Test how characters and props move in a scene | Previewing a character in several camera angles | | Research | Video generation researchers | Study multi-reference conditioning in a video model | Comparing results with different reference labels | You can skip it if you do not use LTX-2.5 or ComfyUI, since it is built for that model. Use only faces and voices you have the right to use. ### Where to use it - ComfyUI, with the ComfyUI-LTX2.5-MSR plugin installed - Windows, macOS or Linux with Python, to fetch the files - Workflows that already run the LTX-2.5 base model | Use case | Who | What they get back | | --- | --- | --- | | Multi-character video | Video creators | A clip that keeps each referenced character | | Subject and object composition | Designers | A scene combining people, objects and a background | | Talking subjects | Creators | Speech paired with the matching subject image | ### How to set it up - Python, to install the Hugging Face client - ComfyUI and the LTX-2.5 base model - The ComfyUI-LTX2.5-MSR plugin, which the card says ComfyUI needs 1. Install the Hugging Face client. 2. Download the model files to your computer. 3. Install the ComfyUI-LTX2.5-MSR plugin in ComfyUI. 4. Open the sample workflow that comes with the plugin. ```sh pip install -U huggingface_hub hf download LiconStudio/LTX-2.5-Multiple-Subject-Reference ``` ### How to use it Load up to five reference images in the sample workflow and describe each one in your prompt. For speech, pass each audio clip through the LTXV Audio VAE Encode node. Wire its LATENT result into the audio\_ref1 slot or the audio\_ref2 slot of the Multi-Reference Guide. Those slots match pic1 and pic2. Leave an audio input empty when a subject has no audio. | Tool | What it does | | --- | --- | | Multi-Reference Guide | Main node that takes your reference pictures and audio | | LTXV Audio VAE Encode | Encodes each audio clip for the guide node | | audio\_ref1 and audio\_ref2 | Inputs that pair speaker audio with pic1 and pic2 | ### Example You load three reference images, label them Image 1, Image 2 and Image 3 in your prompt, and say what each one is, such as the character, the object and the background. You also describe the actions and where things stand. The model returns a video that keeps all three. ### For newcomers and experts If you are new, open the sample workflow and start with two reference images and a short, clear prompt. Name each image in the prompt and match any audio to the right subject. If you know the field: the reference images are turned into visual tokens that share a latent space with the target video. Each gets a learned slot embedding and its own negative temporal position, so the video tokens fetch details through the native self-attention layers. Reference images → Visual tokens with slot embeddings → Self-attention retrieval → Generated video ### Good to know V2 reduces clipping, adds more varied camera moves and gives more natural motion with fewer erratic cuts. One known issue is that environmental sound needs background music in the voice-reference audio. - Limits: up to five reference images and audio for up to two speakers - Known issue: without background music in the voice reference, environmental sound may not generate correctly - License: Apache 2.0 - Cost to run: none named - Data it reaches: model files downloaded to your computer, plus the reference images and audio you supply - Not for: the card names none, so use only faces and voices you have the right to use ## README ````markdown # Licon MSR for LTX-2.5 Keeps characters, clothing, objects and backgrounds consistent in generated video by feeding the model up to five reference images. A LoRA for LTX-2.5 in ComfyUI, with optional audio references for two speakers. Made by LiconStudio 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: Licon MSR is a LoRA trained for the LTX-2.5 video model. It lets you hand the model several reference images, so a generated clip keeps the same characters, clothing, objects and scenes. The newer V2 release also accepts audio references for up to two speakers. Who it suits: Video creators and ComfyUI users who want the same subjects to appear across generated shots. It fits anyone who already runs LTX-2.5 and wants more control over who and what shows up. ```table Industry | Who uses it | How they use it | Example Video production | Short-film and clip makers | Supply character and scene references to keep a cast consistent | A clip with two characters and a set built from three images Marketing | Content creators | Place a product and a person into one generated shot | A product shown with a presenter reference Game and animation | Concept artists | Test how characters and props move in a scene | Previewing a character in several camera angles Research | Video generation researchers | Study multi-reference conditioning in a video model | Comparing results with different reference labels ``` You can skip it if you do not use LTX-2.5 or ComfyUI, since it is built for that model. Use only faces and voices you have the right to use. Where to use it: - ComfyUI, with the ComfyUI-LTX2.5-MSR plugin installed - Windows, macOS or Linux with Python, to fetch the files - Workflows that already run the LTX-2.5 base model ```table Use case | Who | What they get back Multi-character video | Video creators | A clip that keeps each referenced character Subject and object composition | Designers | A scene combining people, objects and a background Talking subjects | Creators | Speech paired with the matching subject image ``` How to set it up: - Python, to install the Hugging Face client - ComfyUI and the LTX-2.5 base model - The ComfyUI-LTX2.5-MSR plugin, which the card says ComfyUI needs 1. Install the Hugging Face client. 2. Download the model files to your computer. 3. Install the ComfyUI-LTX2.5-MSR plugin in ComfyUI. 4. Open the sample workflow that comes with the plugin. ```sh pip install -U huggingface_hub hf download LiconStudio/LTX-2.5-Multiple-Subject-Reference ``` How to use it: Load up to five reference images in the sample workflow and describe each one in your prompt. For speech, pass each audio clip through the LTXV Audio VAE Encode node. Wire its LATENT result into the audio_ref1 slot or the audio_ref2 slot of the Multi-Reference Guide. Those slots match pic1 and pic2. Leave an audio input empty when a subject has no audio. ```table Tool | What it does Multi-Reference Guide | Main node that takes your reference pictures and audio LTXV Audio VAE Encode | Encodes each audio clip for the guide node audio_ref1 and audio_ref2 | Inputs that pair speaker audio with pic1 and pic2 ``` Example: You load three reference images, label them Image 1, Image 2 and Image 3 in your prompt, and say what each one is, such as the character, the object and the background. You also describe the actions and where things stand. The model returns a video that keeps all three. For newcomers and experts: If you are new, open the sample workflow and start with two reference images and a short, clear prompt. Name each image in the prompt and match any audio to the right subject. If you know the field: the reference images are turned into visual tokens that share a latent space with the target video. Each gets a learned slot embedding and its own negative temporal position, so the video tokens fetch details through the native self-attention layers. ```flow Reference images Visual tokens with slot embeddings Self-attention retrieval Generated video ``` Good to know: V2 reduces clipping, adds more varied camera moves and gives more natural motion with fewer erratic cuts. One known issue is that environmental sound needs background music in the voice-reference audio. - Limits: up to five reference images and audio for up to two speakers - Known issue: without background music in the voice reference, environmental sound may not generate correctly - License: Apache 2.0 - Cost to run: none named - Data it reaches: model files downloaded to your computer, plus the reference images and audio you supply - Not for: the card names none, so use only faces and voices you have the right to use ## On Hugging Face, 14 November 2026 - Library: diffusers - Downloads in the last 30 days: 14,885 - Likes: 110 - License: apache-2.0 - Based on: Lightricks/LTX-2.5 - Tags: diffusers, video-generation, multi-reference, ltx-2.5 ## Links - Model: https://huggingface.co/LiconStudio/LTX-2.5-Multiple-Subject-Reference - Files: https://huggingface.co/LiconStudio/LTX-2.5-Multiple-Subject-Reference/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download LiconStudio/LTX-2.5-Multiple-Subject-Reference ``` 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 [LiconStudio/LTX-2.5-Multiple-Subject-Reference on Hugging Face](https://huggingface.co/LiconStudio/LTX-2.5-Multiple-Subject-Reference) ## 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 | | --- | --- | --- | --- | --- | --- | | Licon MSR for LTX-2.5 (this page) | 14,885 | 110 | — | apache-2.0 | 2026-09-23 | | [Minimax-h3\_Singularity](https://mindket.com/p/fda25159-4ede-4763-ba58-a8dca57b57f0) | 1,145,318 | 986 | — | apache-2.0 | 2026-10-23 | | [SenseNova 6.8 Code2Video](https://mindket.com/p/631aef12-4230-43ae-9166-6f21f7973171) | 1,460 | 107 | 27.4B | apache-2.0 | 2026-11-03 | | [Juggernaut-XL-v9](https://mindket.com/p/947fc56e-0d16-43b1-913a-8d7bd51ab6a1) | 587,793 | 521 | — | creativeml-openrail-m | 2026-05-08 | | [BFS: Best Face Swap](https://mindket.com/p/abeacf70-0d27-49de-983d-fb904e66d97e) | 218,283 | 1,561 | — | mit | 2026-11-04 | | [CyberRealistic XL](https://mindket.com/p/93f955b1-0f43-4d5d-b95f-70c06e325f47) | 67,834 | 54 | — | creativeml-openrail-m | 2026-05-28 | 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: 2026-09-23 - First published: 2026-08-14 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open LiconStudio/LTX-2.5-Multiple-Subject-Reference on Hugging Face](https://huggingface.co/LiconStudio/LTX-2.5-Multiple-Subject-Reference) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/0203f6be-651e-4565-b5d1-172557b55564) - [Its page on Mindket](https://mindket.com/p/0203f6be-651e-4565-b5d1-172557b55564)