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ltx23-bgswap-iclora-run4
liormamon/ltx23-bgswap-iclora-run4
ltx23-bgswap-iclora-run4 is a machine learning model from liormamon. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
An IC-LoRA that moves a real person in a video to a new location. The person stays exactly themselves. The background comes from a single image, and the person is relit toward the new scene. One inference, no rotoscop…
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Updated Oct 1, 2026
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At a glance
- License
- other
- Access
- Public
- Created
- Jul 24, 2026
- Updated
- Oct 1, 2026
- SHA
- e36ca668
Base models
Model card
From the Hugging Face model README
BG-Swap — identity-locked background replacement for LTX-2.3
An IC-LoRA that moves a real person in a video to a new location. The person stays exactly themselves. The background comes from a single image, and the person is relit toward the new scene. One inference, no rotoscoping.
Project page: https://liormamon.com/ic-lora/ ComfyUI workflow and setup notes: https://github.com/LIORMAMONKIKI/bg-swap
Which file to use
| file | what it is |
|---|---|
run5_lora_weights_step_03000.safetensors | use this one. The released model. |
run5_lora_weights_step_02000.safetensors, run5_lora_weights_step_02500.safetensors | earlier checkpoints of the same run, for comparison |
lora_weights_step_03000.safetensors | run 4, person reference only, no background image. Superseded. |
run6_lora_weights_step_03000.safetensors | run 6, an experiment that added single-frame training rows. Measured equal to run 5 on video. Kept for reference. |
Inputs
- Person video: 1280×704, 97 frames, 25 fps
- Background image: 1280×704
- Prompt: describe the new scene and its lighting. Do not describe the person; identity comes from the video reference.
- Negative prompt: empty
Settings (official LTX single-stage distilled recipe)
Base ltx-2.3-22b-dev → ltx-2.3-22b-distilled-lora-384 at 0.5 → this LoRA at 1.0.
cfg 1, euler_ancestral_cfg_pp, 8 distilled sigmas, single stage at full resolution, both reference guides at latent_downscale_factor 1.
Do not use cfg above 1 or the two-stage upscale pipeline: the first makes the person flicker, the second destroys identity.
Training
Trained with the official LTX-2.3 trainer on pairs of real footage: the same person composited into another clip's background (the condition), the untouched original as the target, plus the target scene's clean plate as a second reference. 43 clips, 108 rows with lighting variants, 3000 steps, rank 32.
License
LoRA weights: MIT. Base model weights are distributed by Lightricks under their own license.
- License
- other
- Created
- Jul 24, 2026
- Updated
- Oct 1, 2026