# 360° Equirectangular Outpainting — LTX-2.3 IC-LoRA · v0.1

**Proof-of-concept IC-LoRA** for [Lightricks LTX-2.3-22B](https://huggingface.co/Lightricks) that turns standard

**widescreen footage into a full 360° equirectangular** video you can view in a VR/360 player.

> Early v0.1 release. Expect rough edges outside the sweet spot below — a bigger, more diverse next version is planned.

## What it does

- **Input** — a flat 2.39:1 (cinemascope) clip, plus an equirectangular reference (your clip projected into the

equirect canvas with the unknown regions masked black).

- **Output** — the model fills the masked regions, giving you a plausible 360° equirect video viewable in a VR/360

player.

Designed for repurposing existing live-action or cinematic footage as immersive content.

## Sweet spot (v0.1)

The v0.1 model was tuned on a deliberately narrow domain to validate the approach:

- Semi-static establishing **city / urban** scenes (no heavy camera motion)

- **~100° horizontal FOV** on the source clip

- **2.39:1 source aspect** (standard cinemascope)

It will generalize poorly outside these conditions — fast action, extreme close-ups, heavily stylised imagery, or very

different FOVs are not reliably handled yet.

## Usage

Tested only with **ComfyUI + LTX-2 video_to_video** pipeline. Load on top of ltx-2.3-22b-dev.safetensors and set:

- **Trigger word**: equirectangular — optional. It works without a prompt, but a descriptive prompt lets you steer

the content of the outpainted region.

- **Reference video**: your source clip projected into the equirect canvas with unknown regions masked.

- **Resolution**: 1920×960, 121 frames, 24 fps.

A ready-to-run workflow Equirect-Outpaint.json) ships alongside this LoRA on the Hugging Face mirror:

<https://huggingface.co/TheBurgstall/VR-360-Outpaint-LTX2.3-IC-LoRA>. Note that the workflow's padding node crops your

input footage to 2.39:1 (center / top / bottom selectable). Other aspect ratios work poorly in this early version.

### Companion ComfyUI nodes

A small ComfyUI helper pack —

**[ComfyUI-EquirectProjector](https://github.com/Burgstall-labs/ComfyUI-EquirectProjector)** — was written alongside

this LoRA to produce the masked equirect reference from a flat clip. The included workflow shows the exact wiring.

## Training

| | |

|--|--|

| Base model | LTX-2.3-22B (dev) |

| Strategy | IC-LoRA video_to_video) |

| Rank / alpha | 128 / 128 |

| Target modules | video self + cross attention + FFN |

| Resolution | 1024×512, 41 frames @ 24 fps |

| Optimizer | Prodigy (D-Adaptation), lr=1.0, constant |

| Precision | bf16, gradient checkpointing |

| Steps | 3500 |

| Hardware | 1× NVIDIA H100 80GB |

| Dataset | Small curated POC set (not released) — semi-static city establishing clips |

The final **step 3500** checkpoint is what's uploaded here.

## What's next

A next version is planned on a significantly larger and more diverse dataset:

- Broader subject matter (interiors, landscapes, crowds, vehicles, …)

- Varied input FOVs and focal lengths

- A wider range of camera motion — not just static establishing shots

- Better handling of the polar regions (top / bottom caps of the equirect canvas)

## Limitations

- Does not model the top/bottom caps of the sphere well — expect stretching or repetition at the poles.

- Struggles with busy motion and fast cuts.

- Prompt adherence is weak; conditioning is dominated by the reference video.

- Outputs are a creative re-projection, not a reconstruction — not a substitute for natively captured 360° footage.

## Links

- **Hugging Face mirror**: <https://huggingface.co/TheBurgstall/VR-360-Outpaint-LTX2.3-IC-LoRA>

- **ComfyUI helper nodes**: <https://github.com/Burgstall-labs/ComfyUI-EquirectProjector>

## License

Apache-2.0. Inherits any base-model conditions from LTX-2.3-22B.

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