Load LTX2.3-22B_IC-LoRA-Cameraman_v2_14000.safetensors as the LoRA.
Provide a reference video carrying the camera motion you want to replicate.
Provide a starting image. This is optional. The model works both in T2V or I2V mode.
Provide a text prompt describing the scene to generate.
No trigger word is needed.

Tips

Resolution: based on my testing, the higher the resolution, the more closely the reference camera motion is followed. I wouldn't go below 960x512 for the first pass.
Image (conditioning) strength: use an image strength of 0.5 or 0.7 for more motion.
The prompt matters a lot — it strongly affects the camera movement. If the output doesn't follow the reference camera motion, you can try:
- leaving the prompt empty (in some cases this works best),
- a different seed,
- describing the camera motion explicitly, at least at a high level.

Training Details

This IC-LoRA was trained on RunPod cloud GPUs (NVIDIA RTX PRO 6000 Blackwell, 96 GB).

Parameter	Value
Base model	LTX-Video 2.3 (22B)
Training framework	ltx-trainer (Lightricks)
Training strategy	IC-LoRA (video_to_video)
Released checkpoint	step 14,000
LoRA rank / alpha	64 / 64
Target modules	attn1, attn2 (to_k/q/v/out), ff.net.0.proj, ff.net.2
Optimizer	ProdigyPlusScheduleFree (auto-LR, prodigy_steps 1000)
Scheduler	constant (required by schedule-free)
Mixed precision	bf16
Batch size	1 (gradient checkpointing enabled)
Training dataset	343 video pairs (+ 23 held-out for validation loss)
Resolution buckets	768x512x{57,89,113,121} @ 24fps
First frame conditioning	0.3

Dataset

366 curated reference/target pairs (343 train / 23 held-out validation, 0 overlap). The set covers single-axis motions as well as many compound multi-axis combinations (e.g. pan_left + tilt_up + roll_ccw, dolly_in + truck_left + pedestal_down).

Motion-component frequency across the training set (a pair can contribute to several components):

Component	Count
pan_right	93
pan_left	90
dolly_in	83
roll_cw	79
truck_right	79
roll_ccw	77
tilt_up	75
zoom_in	69
truck_left	68
tilt_down	62
dolly_out	61
zoom_out	52
pedestal_down	50
static	28
pedestal_up	25

Of the 343 training pairs, 93 are single-axis and 250 are compound (multi-axis).

Limitations

Complex compound motions may not transfer reliably

License

This LoRA is created as part of a personal project for research purposes only and is not intended for commercial use.

Support

Producing and sharing this kind of open-source work requires renting cloud GPUs, which gets expensive quickly. If you find it useful and would like me to keep contributing, your support is very much appreciated:

Ko-fi

Liberapay

Cseti/LTX2.3-22B_IC-LoRA-Cameraman_v2

LTX-Video 2.3 22B — IC-LoRA: Cameraman v2

Example outputs

Usage (ComfyUI)