FFF_MOSS-Alba-style v1: style LoRA, model card, samples

.gitattributes

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 *.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/classroom.png filter=lfs diff=lfs merge=lfs -text
+samples/street.png filter=lfs diff=lfs merge=lfs -text

FFF_MOSS-Alba-style-v1.safetensors

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+size 74406432

FFF_MOSS-Alba-style-v1.safetensors.sha256

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+4e54872c45dcb4025777cd5def4dba269739e53a388f881f7b2662b219ca9a08 *FFF_MOSS-Alba-style-v1.safetensors

LICENSE

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README.md

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+---
+license: apache-2.0
+base_model:
+  - OpenMOSS-Team/MOSS-Image-Base
+base_model_relation: adapter
+pipeline_tag: text-to-image
+tags:
+  - moss-image
+  - lora
+  - anime
+  - style
+  - text-to-image
+  - safetensors
+language:
+  - en
+  - ja
+---
+
+# FFF_MOSS-Alba-style v1
+
+A style LoRA for [MOSS-Image](https://github.com/OpenMOSS/MOSS-Image). It puts the look of [FFF_ANIMA-Alba](https://huggingface.co/flyfront/FFF_ANIMA-Alba) (soft shading, warm skin, clear eyes) on the people in the picture and leaves MOSS-Image's backgrounds as they are.
+
+[MOSS-Image](https://github.com/OpenMOSS/MOSS-Image) 用の画風 LoRA です。人物に [FFF_ANIMA-Alba](https://huggingface.co/flyfront/FFF_ANIMA-Alba) の画風(柔らかい塗り、暖かい肌、はっきりした瞳)を乗せ、背景は MOSS-Image のまま残します。
+
+## Samples
+
+<table>
+<tr>
+<td align="center" valign="middle" width="50%"><img src="samples/classroom.png" alt="classroom" width="400"></td>
+<td align="center" valign="middle" width="50%"><img src="samples/street.png" alt="street" width="400"></td>
+</tr>
+</table>
+
+Both samples: MOSS-Image SFT + this LoRA at 1.0, tags only, Euler, 25 steps, 1344x1792. Left: CFG 3. Right: CFG 5. Prompts, negative prompts and seeds are in the PNG metadata.
+
+生成例は 2 枚とも MOSS-Image SFT + この LoRA(1.0)、タグだけのプロンプト、Euler、25 steps、1344x1792 です。左は CFG 3、右は CFG 5。プロンプト・ネガティブ・seed は PNG のメタデータにあります。
+
+## Quick start
+
+```
+@fyfnt, <your tags> <lora:FFF_MOSS-Alba-style-v1:1>
+```
+
+Negative prompt:
+
+```
+nsfw, worst quality, bad anatomy, watermark, jpeg artifact, blush, embarrassed
+```
+
+MOSS-Image SFT (the INT8 ConvRot file is fine), Euler, MOSS scheduler (shift 5), 25-30 steps, CFG 3 to 6, around 1M to 2.4M pixels (896x1152 to 1344x1792). No quality tags are needed.
+
+MOSS-Image SFT(INT8 ConvRot 版で可)、Euler、MOSS スケジューラ(shift 5)、25～30 steps、CFG 3～6、100 万～240 万画素(896x1152～1344x1792)。品質タグは要りません。
+
+## How to use it
+
+**Base or SFT.** The LoRA was trained on MOSS-Image Base and works on both. SFT gives warmer colors, more saturation and richer backgrounds; Base gives a calmer, cooler palette closer to the teacher. The samples use SFT.
+
+**Trigger is optional.** The style comes through with or without `@fyfnt`. With it, eyes are a little larger and the face is closer to the teacher; without it, the face is a little more settled. Use whichever you prefer.
+
+**CFG picks the finish.** CFG 3 gives soft shading with gentle gradients. Around 6 the look turns toward cel shading with stronger lines and more saturation. 7 and above starts to crush dark areas.
+
+**Blush.** MOSS-Image SFT likes to blush. `blush, embarrassed` in the negative prompt removes it without changing anything else; write `light blush` or `blush` in the prompt when you want it (and drop them from the negative).
+
+**Weight stays at 1.0.** Lowering the weight brings back SFT's own habits (blush, cleavage) rather than softening the style.
+
+**Color words spread.** MOSS-Image reads tags as context, so `white dress` can also lighten hair, skin and the whole picture. Balance a white outfit with a hair color or a darker room, or let one dark garment anchor the palette. Name the hair color when you want it fixed; otherwise it drifts between black and silver.
+
+**Distilled LoRAs.** Works together with the 8-step DMD, 4-step and 2-step LoRAs at 1.0 each (8-step is the best trade). At CFG 1 the negative prompt is not evaluated, so use [sd-forge-negpip](https://github.com/flyfront/sd-forge-negpip) (MOSS-Image support) and write `(blush:-1.0), (embarrassed:-1.0)` in the positive prompt instead.
+
+**Hands.** Fingers can come out simplified, as with other style LoRAs on MOSS-Image. ADetailer-style hand fixing helps. Keep pose words to one per kind (distance, angle, posture) so the model is not asked for an impossible pose.
+
+**Backgrounds.** Nothing to add: the LoRA was trained with the background masked out, so `detailed background` and similar tags make no difference and MOSS-Image draws the scene the way it always does.
+
+## 使い方
+
+**Base でも SFT でも。** MOSS-Image Base で学習した LoRA ですが、どちらにも効きます。SFT は暖色で彩度が高く背景の描き込みが多め、Base は落ち着いた寒色寄りで教師に近い色味です。生成例は SFT です。
+
+**trigger は任意。** `@fyfnt` があってもなくても画風は出ます。付けると瞳が少し大きく教師寄りの顔、外すと少し落ち着いた顔立ちになります。
+
+**CFG で仕上がりを選ぶ。** 3 は柔らかい塗りで階調が残ります。6 前後でセル調に寄り、線が強く彩度が上がります。7 以上は暗部が潰れ始めます。
+
+**赤面。** MOSS-Image SFT は赤面しがちです。ネガティブに `blush, embarrassed` を入れると他を変えずに消えます。赤面させたいときはプロンプトに `light blush` か `blush` を書き、ネガから外してください。
+
+**倍率は 1.0 のまま。** 下げると画風が薄まるより先に SFT 自身の癖(赤面、胸元)が戻ります。
+
+**色の語は全体に広がる。** MOSS-Image はタグを文脈として読むので、`white dress` が髪や肌、画面全体まで白っぽくします。白い服のときは髪色や暗い部屋で釣り合いを取るか、濃い色の服を 1 つ置いてください。髪色は書かないと黒と銀の間で揺れます。固定したいときは書きます。
+
+**蒸留 LoRA との併用。** 8-step DMD、4-step、2-step の各 LoRA と両方 1.0 で重ねられます(8-step が釣り合いがよい)。CFG 1 ではネガティブが評価されないので、[sd-forge-negpip](https://github.com/flyfront/sd-forge-negpip)(MOSS-Image 対応)で正のプロンプトに `(blush:-1.0), (embarrassed:-1.0)` と書いてください。
+
+**手。** MOSS-Image に画風 LoRA を当てたときの常で、指が簡略になることがあります。ADetailer 系の手の補正が効きます。ポーズの語は種類ごと(距離・角度・体勢)に 1 つずつにして、無理な体勢を頼まないのがこつです。
+
+**背景。** 足す語はありません。背景をマスクして学習しているので、`detailed background` などの有無で絵は変わらず、MOSS-Image がいつもどおり描きます。
+
+## Files
+
+| File | Size | SHA256 |
+|---|---|---|
+| `FFF_MOSS-Alba-style-v1.safetensors` | 74.4 MB | `4e54872c45dcb4025777cd5def4dba269739e53a388f881f7b2662b219ca9a08` |
+
+LoRA on the DiT only (dim 16, alpha 1, all 42 blocks), sd-scripts key layout (`lora_unet_layers_*`). Loads as-is in Forge Neo and ComfyUI; no text encoder weights are included.
+
+DiT だけの LoRA(dim 16、alpha 1、42 block 全部)、sd-scripts のキー形式(`lora_unet_layers_*`)。Forge Neo と ComfyUI でそのまま読めます。text encoder の重みは含みません。
+
+## Training
+
+Trained with [sd-scripts](https://github.com/kohya-ss/sd-scripts) (`moss_image_train_network.py`) on MOSS-Image Base, with the Qwen3.5-9B text encoder frozen. The teacher set is 1,457 images generated with FFF_ANIMA-Alba, captioned with the tags they were generated from. The loss was masked to the people in each image (background weight 0, hands excluded), so only the character rendering is learned. 1024-pixel buckets, 3 epochs (6,348 steps), LR 1e-4, AdamW8bit, constant schedule.
+
+[sd-scripts](https://github.com/kohya-ss/sd-scripts)(`moss_image_train_network.py`)で MOSS-Image Base を起点に学習し、Qwen3.5-9B の text encoder は凍結しました。教師は FFF_ANIMA-Alba で生成した 1,457 枚で、caption は生成に使ったタグです。loss は人物の領域だけに掛け(背景の重み 0、手は除外)、キャラクターの描き方だけを学ばせています。1024 画素のバケット、3 epoch(6,348 step)、LR 1e-4、AdamW8bit、constant。
+
+## About this repository
+
+This is the MOSS-Image branch of the FFF_ANIMA-Alba series. A full fine-tune of MOSS-Image on the same teacher may be added here later under the name `FFF_MOSS-Alba`; the LoRA keeps the `-style` suffix.
+
+FFF_ANIMA-Alba シリーズの MOSS-Image 版です。同じ教師で MOSS-Image を full fine-tune したモデルを、将来 `FFF_MOSS-Alba` の名前でここに足すかもしれません。LoRA は `-style` 付きの名前のままです。
+
+## License
+
+Apache License 2.0 (`LICENSE`), the same as the MOSS-Image weights. The teacher images were generated with FFF_ANIMA-Alba, whose license (CircleStone Labs Non-Commercial License v1.2) places no restriction on the use of generated images, so nothing from that license carries over to this LoRA. Generated images are yours.
+
+Apache License 2.0(`LICENSE`)。MOSS-Image の重みと同じです。教師画像は FFF_ANIMA-Alba で生成したもので、その license(CircleStone Labs Non-Commercial License v1.2)は生成画像の利用を制限していないため、この LoRA には引き継がれません。生成した画像は利用者のものです。
+
+Civitai page: (to be added)