ModelÜberprüftExtern

LTX 2.3 GGUF

ltx-2-community-license-agreement

Quellehuggingface.co/vantagewithai/LTX-2.3-GGUF/tree/7371ca392c9cb0f12638c898f0c515db72979cea

ArtOtherBasismodellLTX-Video 2.3VersionRevision 7371ca3Verleger@vantagewithaiBBewertung

Modellquelle

Art: Other
Dateigröße: 9,63–21,2 GB
Basismodell: LTX-Video 2.3
Version: vRevision 7371ca3
Aktualisiert: 5. Okt. 2026
Verleger: @vantagewithai
Downloads: 9370
Parameter: 22B
Aufgaben: Bild zu Video, Text zu Video, Hochskalierung, Video zu Video
Quelle: Hugging Face

Quellenbeschreibung

Quantized GGUF version of Split LTX-2 checkpoint

Original model Link: https://huggingface.co/Lightricks/LTX-2.3

Watch us at Youtube: @VantageWithAI

LTX-2.3 Model Card

This model card focuses on the LTX-2.3 model, which is a significant update to the LTX-2 model with improved audio and visual quality as well as enhanced prompt adherence. LTX-2 was presented in the paper LTX-2: Efficient Joint Audio-Visual Foundation Model.

💻💻 If you want to dive in right to the code - it is available here. 💾💾

LTX-2.3 is a DiT-based audio-video foundation model designed to generate synchronized video and audio within a single model. It brings together the core building blocks of modern video generation, with open weights and a focus on practical, local execution.

LTX-2 Open Source

Model Checkpoints

Name	Notes
ltx-2.3-22b-dev	The full model, flexible and trainable in bf16
ltx-2.3-22b-distilled	The distilled version of the full model, 8 steps, CFG=1
ltx-2.3-22b-distilled-lora-384	A LoRA version of the distilled model applicable to the full model
ltx-2.3-spatial-upscaler-x2-1.0	An x2 spatial upscaler for the ltx-2.3 latents, used in multi stage (multiscale) pipelines for higher resolution
ltx-2.3-spatial-upscaler-x1.5-1.0	An x1.5 spatial upscaler for the ltx-2.3 latents, used in multi stage (multiscale) pipelines for higher resolution
ltx-2.3-temporal-upscaler-x2-1.0	An x2 temporal upscaler for the ltx-2.3 latents, used in multi stage (multiscale) pipelines for higher FPS

Model Details

Developed by: Lightricks
Model type: Diffusion-based audio-video foundation model
Language(s): English

Online demo

LTX-2.3 is accessible right away via the API Playground.

Diffusers 🧨

LTX-2.3 support in the Diffusers Python library is coming soon!

General tips:

Width & height settings must be divisible by 32. Frame count must be divisible by 8 + 1.
In case the resolution or number of frames are not divisible by 32 or 8 + 1, the input should be padded with -1 and then cropped to the desired resolution and number of frames.
For tips on writing effective prompts, please visit our Prompting guide

Limitations

This model is not intended or able to provide factual information.
As a statistical model this checkpoint might amplify existing societal biases.
The model may fail to generate videos that matches the prompts perfectly.
Prompt following is heavily influenced by the prompting-style.
The model may generate content that is inappropriate or offensive.
When generating audio without speech, the audio may be of lower quality.

Train the model

The base (dev) model is fully trainable.

It's extremely easy to reproduce the LoRAs and IC-LoRAs we publish with the model by following the instructions on the LTX-2 Trainer Readme.

Training for motion, style or likeness (sound+appearance) can take less than an hour in many settings.

Citation

@article{hacohen2025ltx2,
  title={LTX-2: Efficient Joint Audio-Visual Foundation Model},
  author={HaCohen, Yoav and Brazowski, Benny and Chiprut, Nisan and Bitterman, Yaki and Kvochko, Andrew and Berkowitz, Avishai and Shalem, Daniel and Lifschitz, Daphna and Moshe, Dudu and Porat, Eitan and Richardson, Eitan and Guy Shiran and Itay Chachy and Jonathan Chetboun and Michael Finkelson and Michael Kupchick and Nir Zabari and Nitzan Guetta and Noa Kotler and Ofir Bibi and Ori Gordon and Poriya Panet and Roi Benita and Shahar Armon and Victor Kulikov and Yaron Inger and Yonatan Shiftan and Zeev Melumian and Zeev Farbman},
  journal={arXiv preprint arXiv:2601.03233},
  year={2025}
}

Quellen

1 Quelle

Hugging FacePrimärVersion 7371ca392c9cb0f12638c898f0c515db72979cea

huggingface.co/vantagewithai/LTX-2.3-GGUF/tree/7371ca392c9cb0f12638c898f0c515db72979cea

Verifiziert 5. Okt.

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Modellartefakte

24 Artefakte

dev/ltx-2-3-22b-dev-Q3_K_M.gguf

gguf · 10,4 GB · SHA-256 370507b043af…d077 · Hugging Face

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dev/ltx-2-3-22b-dev-Q3_K_S.gguf

gguf · 9,63 GB · SHA-256 3f16e5574a65…e0bd · Hugging Face

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dev/ltx-2-3-22b-dev-Q4_0.gguf

gguf · 12,1 GB · SHA-256 1d8fbca1881f…de8e · Hugging Face

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dev/ltx-2-3-22b-dev-Q4_1.gguf

gguf · 12,9 GB · SHA-256 56aba4d4825e…5761 · Hugging Face

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dev/ltx-2-3-22b-dev-Q4_K_M.gguf

gguf · 13,3 GB · SHA-256 a922006e8d4c…a4a5 · Hugging Face

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dev/ltx-2-3-22b-dev-Q4_K_S.gguf

gguf · 12,3 GB · SHA-256 e0d62709644e…f47c · Hugging Face

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dev/ltx-2-3-22b-dev-Q5_0.gguf

gguf · 14,2 GB · SHA-256 ca4058df29b5…1ee9 · Hugging Face

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dev/ltx-2-3-22b-dev-Q5_1.gguf

gguf · 15,1 GB · SHA-256 8762b9bb8cfe…e93a · Hugging Face

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dev/ltx-2-3-22b-dev-Q5_K_M.gguf

gguf · 15,0 GB · SHA-256 331716c05439…a72e · Hugging Face

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dev/ltx-2-3-22b-dev-Q5_K_S.gguf

gguf · 14,0 GB · SHA-256 503cf37a106a…d028 · Hugging Face

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dev/ltx-2-3-22b-dev-Q6_K.gguf

gguf · 16,6 GB · SHA-256 9995878f65b5…5d45 · Hugging Face

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dev/ltx-2-3-22b-dev-Q8_0.gguf

gguf · 21,2 GB · SHA-256 c8769ff088ee…b235 · Hugging Face

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distilled/ltx-2-3-22b-distilled-Q3_K_M.gguf

gguf · 10,4 GB · SHA-256 ce502dbf63dd…0852 · Hugging Face

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distilled/ltx-2-3-22b-distilled-Q3_K_S.gguf

gguf · 9,63 GB · SHA-256 5942e7c36653…0a8d · Hugging Face

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distilled/ltx-2-3-22b-distilled-Q4_0.gguf

gguf · 12,1 GB · SHA-256 a3f5cab65c0d…74e2 · Hugging Face

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distilled/ltx-2-3-22b-distilled-Q4_1.gguf

gguf · 12,9 GB · SHA-256 c49882e8c98e…62bb · Hugging Face

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distilled/ltx-2-3-22b-distilled-Q4_K_M.gguf

gguf · 13,3 GB · SHA-256 96ac43dbb430…3e5d · Hugging Face

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distilled/ltx-2-3-22b-distilled-Q4_K_S.gguf

gguf · 12,3 GB · SHA-256 7cddc83ef611…3e9b · Hugging Face

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distilled/ltx-2-3-22b-distilled-Q5_0.gguf

gguf · 14,2 GB · SHA-256 6820434a1c76…fa80 · Hugging Face

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distilled/ltx-2-3-22b-distilled-Q5_1.gguf

gguf · 15,1 GB · SHA-256 d4ad62eac32e…b7f0 · Hugging Face

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distilled/ltx-2-3-22b-distilled-Q5_K_M.gguf

gguf · 15,0 GB · SHA-256 04232a94a692…eaf6 · Hugging Face

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distilled/ltx-2-3-22b-distilled-Q5_K_S.gguf

gguf · 14,0 GB · SHA-256 317a1a2ad034…7867 · Hugging Face

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distilled/ltx-2-3-22b-distilled-Q6_K.gguf

gguf · 16,6 GB · SHA-256 3adabe2c1f5c…c667 · Hugging Face

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distilled/ltx-2-3-22b-distilled-Q8_0.gguf

gguf · 21,2 GB · SHA-256 fd06a984eb4d…9341 · Hugging Face

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Quellenauszüge

3 Auszüge

Readme11. Julihuggingface.co/vantagewithai/LTX-2.3-GGUF

--- language: - en - de - es - fr - ja - ko - zh - it - pt library_name: diffusers license: other license_name: ltx-2-community-license-agreement license_link: https://github.com/Lightricks/LTX-2/blob/main/LICENSE pipeline_tag: image-to-video arxiv: 2601.03233 tags: - image-to-video - text-to-video - video-to-video - image-text-to-video - audio-to-video - text-to-audio - video-to-audio - audio-to-audio - text-to-audio-video - image-to-audio-video - image-text-to-audio-video - ltx-2 - ltx-2-3 - ltx-video - ltxv - lightricks pinned: true demo: https://app.ltx.studio/ltx-2-playground/i2v --- **Quantized GGUF version of Split LTX-2 checkpoint** **Original model Link:** [https://huggingface.co/Lightricks/LTX-2.3](https://huggingface.co/Lightricks/LTX-2) **Watch us at Youtube:** [@VantageWithAI](https://www.youtube.com/@vantagewithai) # LTX-2.3 Model Card This model card focuses on the LTX-2.3 model, which is a significant update to the [LTX-2 model](https://huggingface.co/Lightricks/LTX-2) with improved audio and visual quality as well as enhanced prompt adherence. LTX-2 was presented in the paper [LTX-2: Efficient Joint Audio-Visual Foundation Model](https://huggingface.co/papers/2601.03233). 💻💻 **If you want to dive in right to the code - it is available [here](https://github.com/Lightricks/LTX-2).** 💾💾 LTX-2.3 is a DiT-based audio-video foundation model designed to generate synchronized video and audio within a single model. It brings together the core building blocks of modern video generation, with open weights and a focus on practical, local execution. [![LTX-2 Open Source](https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx2.3-open.png)](https://youtu.be/o-7us-BR_gQ) # Model Checkpoints | Name | Notes | |------------------------------------|--------------------------------------------------------------------------------------------------------------------| | ltx-2.3-22b-dev | The full model, flexible and trainable in bf16 | | ltx-2.3-22b-distilled | The distilled version of the full model, 8 steps, CFG=1 | | ltx-2.3-22b-distilled-lora-384 | A LoRA version of the distilled model applicable to the full model | | ltx-2.3-spatial-upscaler-x2-1.0 | An x2 spatial upscaler for the ltx-2.3 latents, used in multi stage (multiscale) pipelines for higher resolution | | ltx-2.3-spatial-upscaler-x1.5-1.0 | An x1.5 spatial upscaler for the ltx-2....

Note5. Okt.huggingface.co/vantagewithai/LTX-2.3-GGUF

Source context: 9370 downloads · 34 likes · Pipeline image-to-video · Library diffusers · Repo vantagewithai/LTX-2.3-GGUF

Note28. Julihuggingface.co/vantagewithai/LTX-2.3-GGUF

Source context: 64076 downloads · 33 likes · Pipeline image-to-video · Library diffusers · Repo vantagewithai/LTX-2.3-GGUF