LTX-2.3 Image to Video AudioSync Simple Workflow +T2V / V1, V2.1, Native,V3

If you get OOM in VAE Decode (Tiled) at long lengths, try lowering the temporal size, however lowering it too much may result in noise and ghosting. It's trial and error.

disable_TextGenerate " false " to enable Prompt enhancement

disable_TextGenerate " true " to bypass prompt enhancement

disable_TextGenerate Initial value " false "

Disable_i2v " true " to T2V

When using TextGenerateLTX2Prompt (Prompt Enhancement), it may take some time to generate.

checkpoints

ltx-2.3-22b-dev-fp8.safetensors

text_encoders

gemma_3_12B_it_fp4_mixed.safetensors

loras

ltx-2.3-22b-distilled-lora-384.safetensors

latent_upscale_models

ltx-2.3-spatial-upscaler-x2-1.0.safetensors

No custom nodes required

tested on :ComfyUI version: 0.16.4, Python: 3.12.12, pytorch : 2.10.0+cu130

Geforce RTX5060Ti16GB, 64GB System memory

V2.1:Added T2V switch [2026/03/08]

LTX-2.3 Image to Video AudioSync Simple Workflow(v2.1)

One image and audio required
Uses ComfyUI template models except for checkpoints (ltx-2.3-22b-dev-fp8,safetensors : 29.1GB)
It is likely to work because it conforms to the ComfyUI template workflow.

Added T2V switch (2026/03/08)

Set disable_i2v to "true" for T2V, but if Image Latency Switch is "true", the specified image size and ratio will be used, so it is better to set Image Latency Switch to "false" and switch to EmptyLTXVLatent (false).

TextGenerateLTX2Prompt performs image analysis and prompt enhancement. It is memory-efficient when used with the Gemma-3-12B text encoder as the LLM.

NSFW may not be prompted?

If it doesn't work as expected, try "Bypassing TextGenerateLTX2Prompt"

checkpoints

ltx-2.3-22b-dev-fp8.safetensors

text_encoders

gemma_3_12B_it_fp4_mixed.safetensors

loras

ltx-2.3-22b-distilled-lora-384.safetensors

latent_upscale_models

ltx-2.3-spatial-upscaler-x2-1.0.safetensors

MelBandRoFormer_comfy

MelBandRoformer_fp32.safetensors

Custom Nodes

https://github.com/Lightricks/ComfyUI-LTXVideo

https://github.com/rgthree/rgthree-comfy

https://github.com/kijai/ComfyUI-KJNodes

https://github.com/kijai/ComfyUI-MelBandRoFormer

https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite

https://github.com/pixelpainter/comfyui-mute-bypass-by-ID

tested on :ComfyUI version: 0.16.0, Python: 3.12.12, pytorch : 2.10.0+cu130

Geforce RTX5060Ti16GB, 64GB System memory

LTX-2 Image to Video AudioSync Simple Workflow(V.1)

A simple workflow incorporating AudioSync into ComfyUI video_ltx2_i2v template workflow

If the audio data is longer than 60 seconds, the image may be distorted.
2D: Anime-style images may be distorted.
I have never created a video with a lot of movement, so in that case, please use it with some tweaks to the prompts or change various LoRa settings.
It uses LoRa : ltx-2-19b-ic-lora-lipdubbing.safetensors to accelerate lip sync, so if you need something else, replace it with Camera LoRa etc.
May not work in low memory environments

Tested on ComfyUI 0.15.1: GeForce RTX5060Ti 16GB, 64GB system RAM

Generation time of over 20 minutes for a 60-second video