v0.1: weights + ComfyUI workflow + sample clips

.gitattributes

@@ -33,3 +33,12 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+samples/clip1-eq.mp4 filter=lfs diff=lfs merge=lfs -text
+samples/clip1-fl-eq.mp4 filter=lfs diff=lfs merge=lfs -text
+samples/clip1-sweep.mp4 filter=lfs diff=lfs merge=lfs -text
+samples/clip2-eq.mp4 filter=lfs diff=lfs merge=lfs -text
+samples/clip2-fl-eq.mp4 filter=lfs diff=lfs merge=lfs -text
+samples/clip2-sweep.mp4 filter=lfs diff=lfs merge=lfs -text
+samples/clip3-eq.mp4 filter=lfs diff=lfs merge=lfs -text
+samples/clip3-fl-eq.mp4 filter=lfs diff=lfs merge=lfs -text
+samples/clip3-sweep.mp4 filter=lfs diff=lfs merge=lfs -text

Equirect-Outpaint.json

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README.md

@@ -36,6 +36,18 @@ The v0.1 model was tuned toward a deliberately narrow domain to validate the app
 It will **generalize poorly** outside these conditions — fast action, extreme close-ups, heavily
 stylised imagery, or very different FOVs are not reliably handled yet.
 
+## Files
+
+| File | What it is |
+|---|---|
+| `ltx-2.3-22b-ic-lora-360-equirect-poc-step3500.safetensors` | The LoRA weights (final step 3500 checkpoint, ~1.3 GB) |
+| `Equirect-Outpaint.json` | Reference ComfyUI workflow wired end-to-end for this LoRA |
+| `samples/clipN-fl-eq.mp4` | Flat input + equirect output side-by-side (3626×960) |
+| `samples/clipN-eq.mp4` | Raw equirectangular output (1920×960) — load in a 360° player |
+| `samples/clipN-sweep.mp4` | 2D camera sweep through the 360° output (1920×1080) for quick preview without a VR player |
+
+Three sample clips (`clip1`, `clip2`, `clip3`) are included under `samples/`.
+
 ## Usage
 
 Load on top of `ltx-2.3-22b-dev.safetensors` with the LTX-2 `video_to_video` pipeline and pass:
@@ -53,9 +65,10 @@ Recommended starting points:
 
 ### Companion tooling
 
-A small ComfyUI helper node — **ComfyUI-EquirectProjector** — was written alongside this LoRA to
-produce the masked equirectangular reference from a flat clip. Pair it with the standard
-LTX-2 video-to-video nodes.
+A small ComfyUI helper pack — **[ComfyUI-EquirectProjector](https://github.com/Burgstall-labs/ComfyUI-EquirectProjector)** —
+was written alongside this LoRA to produce the masked equirectangular reference from a flat clip.
+Pair it with the standard LTX-2 video-to-video nodes. The `Equirect-Outpaint.json` workflow in this
+repo shows the exact wiring.
 
 ## Training (v0.1)
 
@@ -72,8 +85,8 @@ LTX-2 video-to-video nodes.
 | Hardware | 1× NVIDIA H100 80GB |
 | Dataset | Small curated POC set (not released) — semi-static city establishing clips |
 
-Multiple checkpoints are published so you can pick the one that best fits your content:
-`step_00500`, `step_01500`, `step_02700`, `step_03500`.
+The final **step 3500** checkpoint is shipped here. Intermediate checkpoints were used for
+validation during training but aren't included in this release.
 
 ## What's next (v0.2)
 
@@ -94,4 +107,4 @@ v0.2 is planned on a significantly larger and more diverse dataset (thousands of
 
 ## License
 
-Apache-2.0. Inherits any base-model conditions from LTX-2.3-22B.
+Apache-2.0. Inherits any base-model conditions from LTX-2.3-22B.

ltx-2.3-22b-ic-lora-360-equirect-poc-step3500.safetensors

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