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LTX 2.3 22B DISTILLED 1.1 GGUF

ltx-2-community-license-agreement

TypeOtherModèle de baseLightricks/LTX-2.3VersionRevision 4210fd6Éditeur@AbirayBClasse

Source du modèle

Type
Other
Taille du fichier
13,7–23,7 GB
Modèle de base
Lightricks/LTX-2.3
Version
vRevision 4210fd6
Mis à jour
1 oct. 2026
Éditeur
@Abiray
Téléchargements
6 k
Paramètres
22B
Tâches
Image en vidéo, Texte en vidéo
Source
Hugging Face

Description de la source

LTX-Video 2.3 (v1.1) 22B Distilled - GGUF

This repository contains the LTX-Video 2.3 (v1.1) Distilled weights, quantized to GGUF format.

GGUF offers highly efficient inference and excellent memory scaling, allowing you to run this heavy 22B parameter model on consumer hardware by splitting the workload between your GPU (VRAM) and CPU (System RAM).

⚡ Model Details

  • Architecture: LTX-Video 2.3 22B Distilled(v1.1)
  • Parameter Count: ~22B
  • Format: GGUF
  • Special Feature: Native Audio-Visual generation (DiT-based)

📦 Available Quantizations

Choose the version that best fits your system's memory constraints.

  • LTX-2.3-22B-distilled-1.1-Q8_0.gguf (25.5 GB): Highest quality, nearly indistinguishable from unquantized. Requires significant RAM/VRAM.
  • LTX-2.3-22B-distilled-1.1-Q6_K.gguf (21.0 GB): Excellent balance of quality and size. Recommended for high-end GPUs.
  • LTX-2.3-22B-distilled-1.1-Q5_K_M.gguf (19.4 GB): Very good quality with a smaller footprint.
  • LTX-2.3-22B-distilled-1.1-Q4_K_M.gguf (17.8 GB): The standard recommendation for most users. Great trade-off between performance and visual fidelity.
  • LTX-2.3-22B-distilled-1.1-Q3_K_M.gguf (14.7 GB): Smallest footprint. Best for machines with limited memory, though minor visual degradation may occur.

🛠️ Usage & Implementation (ComfyUI)

To use these GGUF files in ComfyUI, you will need a custom node suite that supports loading GGUF models (such as ComfyUI-GGUF).

📜 License

This model is released under the LTX-2 Community License Agreement by Lightricks.

Sources

1 source
Hugging FacePrincipalVersion 4210fd6e7f91c71b7e1eb9d4feba9e4fda240df4
huggingface.co/Abiray/LTX-2.3-22B-DISTILLED-1.1-GGUF/tree/4210fd6e7f91c71b7e1eb9d4feba9e4fda240df4

Vérifié 1 oct.

Artefacts du modèle

5 artefacts

LTX-2.3-22B-distilled-1.1-Q3_K_M.gguf

gguf · 13,7 GB · SHA-256 8e708ebdd88f…7b2a · Hugging Face

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LTX-2.3-22B-distilled-1.1-Q4_K_M.gguf

gguf · 16,5 GB · SHA-256 cfebeb7ac973…5fbd · Hugging Face

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LTX-2.3-22B-distilled-1.1-Q5_K_M.gguf

gguf · 18,1 GB · SHA-256 ddd6cb9f4d90…718b · Hugging Face

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LTX-2.3-22B-distilled-1.1-Q6_K.gguf

gguf · 19,6 GB · SHA-256 c024aad45c89…83dc · Hugging Face

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LTX-2.3-22B-distilled-1.1-Q8_0.gguf

gguf · 23,7 GB · SHA-256 a2f90f94b6ed…1602 · Hugging Face

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Extraits de sources

3 extraits

--- license: other license_name: ltx-2-community-license-agreement license_link: https://huggingface.co/Lightricks/LTX-2.3/blob/main/LICENSE language: - en tags: - text-to-video - image-to-video - audio-to-video - ltx-video - gguf - quantized - distilled - dit base_model: Lightricks/LTX-2.3 pipeline_tag: text-to-video --- # LTX-Video 2.3 (v1.1) 22B Distilled - GGUF This repository contains the **LTX-Video 2.3 (v1.1)** Distilled weights, quantized to **GGUF** format. GGUF offers highly efficient inference and excellent memory scaling, allowing you to run this heavy 22B parameter model on consumer hardware by splitting the workload between your GPU (VRAM) and CPU (System RAM). ## ⚡ Model Details - **Architecture:** LTX-Video 2.3 22B Distilled(v1.1) - **Parameter Count:** ~22B - **Format:** GGUF - **Special Feature:** Native Audio-Visual generation (DiT-based) ## 📦 Available Quantizations Choose the version that best fits your system's memory constraints. * **`LTX-2.3-22B-distilled-1.1-Q8_0.gguf`** (25.5 GB): Highest quality, nearly indistinguishable from unquantized. Requires significant RAM/VRAM. * **`LTX-2.3-22B-distilled-1.1-Q6_K.gguf`** (21.0 GB): Excellent balance of quality and size. Recommended for high-end GPUs. * **`LTX-2.3-22B-distilled-1.1-Q5_K_M.gguf`** (19.4 GB): Very good quality with a smaller footprint. * **`LTX-2.3-22B-distilled-1.1-Q4_K_M.gguf`** (17.8 GB): The standard recommendation for most users. Great trade-off between performance and visual fidelity. * **`LTX-2.3-22B-distilled-1.1-Q3_K_M.gguf`** (14.7 GB): Smallest footprint. Best for machines with limited memory, though minor visual degradation may occur. ## 🛠️ Usage & Implementation (ComfyUI) To use these GGUF files in **ComfyUI**, you will need a custom node suite that supports loading GGUF models (such as `ComfyUI-GGUF`). ## 📜 License This model is released under the **LTX-2 Community License Agreement** by Lightricks.

Source context: 5987 downloads · 36 likes · Pipeline text-to-video · Repo Abiray/LTX-2.3-22B-DISTILLED-1.1-GGUF

Source context: 37086 downloads · 35 likes · Pipeline text-to-video · Repo Abiray/LTX-2.3-22B-DISTILLED-1.1-GGUF