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unofficial disclaimer + FAQ (VRAM/Base/relighting/saturation)

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@@ -30,6 +30,9 @@ that beats [chinoll/Moss-Image-Edit](https://huggingface.co/chinoll/Moss-Image-E
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  on quality β€” every experiment, checkpoint, and side-by-side published,
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  including the ones that lost.
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  ## V3 head-to-head vs chinoll (real portraits)
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  5 real Pexels portraits (never in training), matched settings (1024px long
@@ -103,6 +106,23 @@ sampler, **shift 5.0**, **50 steps**, **CFG 3.0**, reference at source
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  resolution, output up to 1024px. For edits that land too weak, raise CFG to
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  3.5–4.
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  ## Troubleshooting
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  - **"Load Model Patch failed"** β†’ the LoRA is in the wrong folder. It goes in
@@ -119,8 +139,8 @@ Try it in the [demo Space](https://huggingface.co/spaces/akhaliq/moss-image-edit
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  | Version | Recipe | Result |
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  |---|---|---|
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  | **v1** | warm-start + from-scratch, molbal multi-reference data, 1024px | ❌ Lost the eval gate β€” chinoll preserves identity better. Kept for reproducibility. |
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- | **v2 (armV2-lo)** | warm-start, OmniEdit surgical data, lr 1e-5, 300 steps | βœ… Matched chinoll, won atmosphere/style. Superseded by v3. |
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- | **v3 (armV3)** | continue from armV2-lo, **ConceptEdit-12M** surgical data (quality + purity filtered, 6,000 rows), lr 1e-5, 700 steps | βœ… **Published** β€” wins small surgical edits (sunglasses/accessories/color), ties elsewhere. |
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  Older eval grids (v1, v2): [akhaliq/moss-edit-hq-eval](https://huggingface.co/datasets/akhaliq/moss-edit-hq-eval).
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  on quality β€” every experiment, checkpoint, and side-by-side published,
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  including the ones that lost.
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+ *An unofficial community fine-tune of MOSS-Image-SFT. Not an official
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+ OpenMOSS-Team model, and not affiliated with or endorsed by OpenMOSS.*
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+
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  ## V3 head-to-head vs chinoll (real portraits)
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  5 real Pexels portraits (never in training), matched settings (1024px long
 
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  resolution, output up to 1024px. For edits that land too weak, raise CFG to
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  3.5–4.
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+ ## FAQ
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+
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+ - **Can I run this on 6 GB VRAM?** No. The pipeline needs ~20 GB+ (bf16).
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+ Community int8/convrot MOSS builds get lower, but not to 6 GB.
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+ - **Does it work on MOSS-Image-Base or Kromoss?** It's trained on **SFT**;
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+ the native ComfyUI path (Option A) is the reliable one. Base/Kromoss
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+ compatibility is unverified β€” if the ModelPatchLoader crashes on Base,
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+ that's why.
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+ - **Can it relight a scene without changing the people?** Yes β€” dramatic
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+ relighting is one of its strengths (see the lighting row in the grids).
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+ For an overexposed photo, try "fix the overexposed lighting, natural
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+ balanced exposure, keep everything else the same" at CFG 3.5.
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+ - **Colors come out more saturated than the source** β€” a known v3 trait
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+ (thanks [@maryann088](https://huggingface.co/maryann088) for the report).
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+ v4 (in training) directly targets it: masked loss keeps unedited regions
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+ pixel-identical to the source, including their color.
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+
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  ## Troubleshooting
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  - **"Load Model Patch failed"** β†’ the LoRA is in the wrong folder. It goes in
 
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  | Version | Recipe | Result |
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  |---|---|---|
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  | **v1** | warm-start + from-scratch, molbal multi-reference data, 1024px | ❌ Lost the eval gate β€” chinoll preserves identity better. Kept for reproducibility. |
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+ | **v2 (armV2-lo)** | warm-start, OmniEdit surgical data, lr 1e-5, 300 steps | Superseded by v3. |
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+ | **v3 (armV3)** | continue from armV2-lo, **ConceptEdit-12M** surgical data (quality + purity filtered, 6,000 rows), lr 1e-5, 700 steps | βœ… **Published** β€” latest checkpoint; see the head-to-head grids above. |
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  Older eval grids (v1, v2): [akhaliq/moss-edit-hq-eval](https://huggingface.co/datasets/akhaliq/moss-edit-hq-eval).
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