# How can you generate an explorable 3D Gaussian-splat world from one image or prompt locally, and which world-generation approaches failed on consumer hardware (per Mickmumpitz, Aug 2026)?

- id: art_01M5NBFREHV2ZJ0EQRWDYHTEHN
- type: article · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=metadata_checked, execution=not_run, review=unreviewed
- categories: T06, T08, T15, T19 · tags: none
- updated: 2026-10-23T21:43:18.181Z
- url: https://veyrul.com/articles/art_01M5NBFREHV2ZJ0EQRWDYHTEHN

Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Mickmumpitz (2026-08-25) reports weeks of R&D: Apple SHARP (single-image to splat in one pass) stitched across 360-degree slices produced seams and fell apart off-axis, and its licence did not suit commercial users; Insta360 UniSarp (360 to 3D) degrades quickly when moving; HunyuanWorld 2.0 needs two large models resident and targets 4 GPUs; NVIDIA Lyra ran but needs 91 GB of checkpoints, Linux-only, 6-minute first start; World Labs Marble is fast and crisp but restricts movement area and lacks working reflections. Chosen base: Skywork Matrix-3D (MIT): 360 panorama -> depth (MoGe) -> rough mesh -> render camera paths -> Wan 2.1 video model + a lightweight LoRA in-paints...

Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated.

Mickmumpitz (2026-08-25) reports weeks of R&D: Apple SHARP (single-image to splat in one pass) stitched across 360-degree slices produced seams and fell apart off-axis, and its licence did not suit commercial users; Insta360 UniSarp (360 to 3D) degrades quickly when moving; HunyuanWorld 2.0 needs two large models resident and targets 4 GPUs; NVIDIA Lyra ran but needs 91 GB of checkpoints, Linux-only, 6-minute first start; World Labs Marble is fast and crisp but restricts movement area and lacks working reflections. Chosen base: Skywork Matrix-3D (MIT): 360 panorama -> depth (MoGe) -> rough mesh -> render camera paths -> Wan 2.1 video model + a lightweight LoRA in-paints disoccluded regions (LoRA trained on UE5 360-degree drone flights through 500 game environments). His ComfyUI port adds: custom-node LoRA conversion, LightX2V speed-up, a top/side "drone path" editor (look-forward or per-point look), a reprojection step that composites the original high-res panorama back over Wan's 720p output (biggest quality gain; SeedVR upscaling was slow and weak), Flux-family 360 LoRA plus seam-fix and outpaint-from-green-crop LoRA (16 h retrain) for making panoramas, then export of COLMAP-format views to any splat trainer (Brush, LichtFeld, Postshot). Tips: 4 drone paths usually suffice; add paths to sharpen important areas; Sage Attention needs his patch or the workflow outputs black frames.

Curator qualifications: Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Video metadata checked; documentation excerpts (if any) located; creator statements not curator-verified.

Limitations: Creator statements were read by discovery from auto-captions (ASR) in a browser panel; not re-verified by the curator. "Coal map" is ASR for COLMAP; "Craya" ASR for a Flux-family model name (likely Krea/Flux; unconfirmed); "Mogi"=MoGe, "one"=Wan. Failure observations are single-practitioner. Wan 2.1 and LoRA licences, and ml-sharp model licence text not read in this batch.

Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.

```json
{
  "citations": [
    {
      "url": "https://www.youtube.com/watch?v=eJuYBNrD8HI",
      "note": "4:30; 4:30-6:02; 6:02-7:32; 13:35; 15:05; GitHub API license"
    },
    {
      "url": "https://github.com/SkyworkAI/Matrix-3D",
      "note": "4:30; 4:30-6:02; 6:02-7:32; 13:35; 15:05; GitHub API license"
    }
  ]
}
```

Evidence claims:
- [sourced_fact] Mickmumpitz (2026-08-25) reports weeks of R&D: Apple SHARP (single-image to splat in one pass) stitched across 360-degree slices produced seams and fell apart off-axis, and its licence did not suit commercial users; Insta360 UniSarp (360 to 3D) degrades quickly when moving; HunyuanWorld 2.0 needs two large models resident and targets 4 GPUs; NVIDIA Lyra ran but needs 91 GB of checkpoints, Linux-only, 6-minute first start; World Labs Marble is fast and crisp but restricts movement area and lacks working reflections. Chosen base: Skywork Matrix-3D (MIT): 360 panorama -> depth (MoGe) -> rough mesh -> render camera paths -> Wan 2.1 video model + a lightweight LoRA in-paints disoccluded regions (LoRA trained on UE5 360-degree drone flights through 500 game environments). His ComfyUI port adds: custom-node LoRA conversion, LightX2V speed-up, a top/side "drone path" editor (look-forward or per-point look), a reprojection step that composites the original high-res panorama back over Wan's 720p output (biggest quality gain; SeedVR upscaling was slow and weak), Flux-family 360 LoRA plus seam-fix and outpaint-from-green-crop LoRA (16 h retrain) for making panoramas, then export of COLMAP-format views to any splat trainer (Brush, LichtFeld, Postshot). Tips: 4 drone paths usually suffice; add paths to sharpen important areas; Sage Attention needs his patch or the workflow outputs black frames. · locator: 4:30; 4:30-6:02; 6:02-7:32; 13:35; 15:05; GitHub API license · source: https://www.youtube.com/watch?v=eJuYBNrD8HI

Rights:
- documentation: license=unknown hosting=permitted redistribution=permitted modification=unknown training=unknown · Applies to this original summary only, not to the cited sources.

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