| # Training Notes (9B) |
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| ## Summary |
| - Base model: `FLUX.2-klein-base-9B` |
| - LoRA rank: `16` |
| - Optimizer: `AdamW8bit` |
| - Learning rate: `3e-5` |
| - Training steps (tentative best): `600` |
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| ## Dataset |
| - Source images were collected from open-license panorama/HDRI archives on the web. |
| - License policy was centered on permissive sources (`CC0` / Public Domain), with part of the set including `CC BY` assets. |
| - After preprocessing and filtering, training was run on a curated ERP pair set of about `1000` samples. |
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| ## Preprocess / Pair Generation |
| - Target format: ERP (equirectangular) `2:1` |
| - Source panoramas were normalized to ERP and cleaned (invalid aspect/failed reads removed). |
| - Control images were generated by: |
| - building a green ERP canvas, |
| - sampling `1-3` reference patches, |
| - projecting patches with a pinhole-based spherical mapping, |
| - handling seam continuity with wrap-aware placement. |
| - The model is trained to fill green regions while preserving visible reference context. |
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