Very low VRAM LTXAV 2.3 I2V workflow. - 4GB

This is the only LTX 2.3 video workflow so far I that I can run on my NVIDIA GeForce RTX 3050 4GB vram GPU and 8GB ram laptop.

It's not fast on 4GB and probably much faster on 6GB and 8GB machines.

I recommend having these settings in your run_nvidia_gpu.bat file:

--windows-standalone-build --lowvram --force-fp16 --use-split-cross-attention

So change the first line to something like this:

.\python_embeded\python.exe -s ComfyUI\main.py --windows-standalone-build --lowvram --force-fp16 --use-split-cross-attention

Here are the filenames and where to Place them. The files can be found on huggingface.

C:\AI\ComfyUI_windows_portable\ComfyUI\models\unet

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

C:\AI\ComfyUI_windows_portable\ComfyUI\models\clip

gemma_3_12B_it_fp4_mixed.safetensors

ltx-2.3_text_projection_bf16.safetensors

C:\AI\ComfyUI_windows_portable\ComfyUI\models\vae

LTX23_video_vae_bf16.safetensors

LTX23_audio_vae_bf16.safetensors

C:\AI\ComfyUI_windows_portable\ComfyUI\models\latent_upscale_models

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

C:\AI\ComfyUI_windows_portable\ComfyUI\models\loras

ltx-2.3-22b-distilled-lora-dynamic_fro09_avg_rank_105_bf16.safetensors

If you change the frame rate, do it on both video and audio so it stays synced.