Basically the culprit is the scheduler and the distil LoRA in the first stage.

The terminal value is set quite high at 0.1. I found that 0.05 or 0.00 works better (if I am not mistaken, Comfy gives a slight nudge so it is not exactly zero).

TLDR

* First stage: use a low distil LoRA value, around 0.25 to 0.3
* Terminal scheduler: set to 0.00 to 0.05
* LTXVImgToVideoInplace strength can vary the generation result
* Prompting is also key. Tell it to match the subject's race and ethnicity, and scrutinize every clothing and lighting detail.

I am using llama.cpp with Qwen 3.5 2B in VL mode to enhance the prompting. By the way, Comfy also provides TextGenerateLTX2Prompt, but I prefer hosting another model on my CPU.

The system prompt [https://github.com/Comfy-Org/ComfyUI/blob/29b24cb5177e9d5aa5b3d2e5869999efb4d538c7/comfy\_extras/nodes\_textgen.py#L113](https://github.com/Comfy-Org/ComfyUI/blob/29b24cb5177e9d5aa5b3d2e5869999efb4d538c7/comfy_extras/nodes_textgen.py#L113)

Model :  
Detailer  
[https://huggingface.co/Lightricks/LTX-2-19b-IC-LoRA-Detailer](https://huggingface.co/Lightricks/LTX-2-19b-IC-LoRA-Detailer)

DiT + TE Projector:

[https://huggingface.co/Kijai/LTX2.3\_comfy/tree/main](https://huggingface.co/Kijai/LTX2.3_comfy/tree/main)

Distilled lora:  
[https://huggingface.co/Lightricks/LTX-2.3/blob/main/ltx-2.3-22b-distilled-lora-384.safetensors](https://huggingface.co/Lightricks/LTX-2.3/blob/main/ltx-2.3-22b-distilled-lora-384.safetensors)

TE:  
[https://huggingface.co/GitMylo/LTX-2-comfy\_gemma\_fp8\_e4m3fn](https://huggingface.co/GitMylo/LTX-2-comfy_gemma_fp8_e4m3fn)

WF:  
[https://pastebin.com/2nJ7ci2A](https://pastebin.com/2nJ7ci2A)

Near solved egregious I2V consistency in LTX 2.3