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- 2026년 8월 29일 03:52
- 감지된 SKILL.md 언어
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설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/dlazy-ai/ecommerce-skills --skill clothing-grass-planting명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
多商品批量生图流水线。商品清单 CSV → 整批统一视觉的商拍图,带并发、重试、断点续跑、成本熔断与挑图联系表。当用户说「批量生图」「一批商品」「跑整个 SKU 表」「几百个商品出图」时使用。
店铺品牌视觉锁定。一份 brand.yaml 定义模特、色温、构图、留白与文案语气,所有生图技能读它,保证跨 SKU 视觉统一。当用户说「统一风格」「同一个模特」「店铺调性」「品牌规范」「几百个 SKU 看起来像一家店」时使用。
服装工艺细节放大图。服装图 → 面料纹理、走线、织法的微距特写。当用户说「细节图」「特写」「面料放大」「工艺展示」「近景细节」时使用。
SKILL.md 표시 중
| name | clothing-grass-planting |
| description | 同款穿搭换模特换场景做种草图。穿搭图 → 社交平台风格的种草图。当用户说「种草图」「小红书风格」「换场景发帖」「达人图」时使用。 |
穿搭不动,人 / 场景 / 姿势全换,换成社交平台的种草风格。
和 one-shot 的区别:one-shot 面向电商主图(保持棚拍规范、构图不动),本技能面向内容种草——要的是生活感、抓拍感、氛围光,构图和景别都可以变。
| 输入:原穿搭图 | 输入:场景/模特参考图 |
|---|---|
![]() | ![]() |
source-outfit.jpg — 浅灰针织连衣裙 + 珍珠项链 + 托特包 + 银色高跟鞋,喷泉庭院 | scene-reference.jpg — 咖啡馆门口街拍,手抚头发,树影暖光 |
实际执行的命令:
dlazy gpt-image-2 \
--prompt 'Lifestyle social-commerce photo. Image 1 shows the outfit to keep: a light-grey textured sleeveless knit mini dress with a mock neckline, a pearl choker, a cream-and-tan tote bag and silver pointed heels. Image 2 is the model, pose, scene and lighting reference: a young woman on a sunlit tree-lined street outside a coffee shop, hand in her hair, warm dappled daylight, shallow depth of field. Put the complete outfit from image 1 onto the model from image 2. Keep every garment detail faithful: same grey knit texture, same neckline and hem length, same pearl choker, same tote bag colour blocking. Reproduce image 2 for the model identity, pose, camera angle, crop, street background and colour grading. Photorealistic influencer-style photo, no text, no watermark.' \
--images docs/clothing-grass-planting/source-outfit.jpg docs/clothing-grass-planting/scene-reference.jpg \
--size 1024x1536 --quality medium --imageFormat jpeg \
--save docs/clothing-grass-planting/example-output.jpg
输出
example-output.jpg — 1024×1536。连衣裙的浅灰针织纹理、立领、腰线与裙长,珍珠项链的珠径,托特包的米白/棕拼色全部保留;模特、抚发姿势、咖啡馆街景、树影暖光与浅景深照抄参考图。
| 保持不变 | 会改变 |
|---|---|
| 上衣 / 下装 / 鞋 / 包 / 配饰的颜色、图案、材质、版型与搭配关系 | 模特身份、姿势与动作、场景与背景、光线与色调、机位与景别 |
| 控制方式 | 说明 |
|---|---|
| 参考图 | 照抄某张种草图的模特、场景、姿势与光线 |
| 自定义提示词 | 用文字描述目标场景与动作 |
不做:不改穿搭的任何一件单品;不生成特定真人的换脸图;不用于伪造他人肖像代言或伪造使用体验。
生成前先自检这几条硬性约束:
输入建议
| 做法 | 说明 |
|---|---|
| ✅ 全身或大半身穿搭图 | 种草图通常要看到整套搭配 |
| ✅ 每件单品都清晰可辨 | 看不清的单品换场景后会被重绘 |
| ✅ 单人 | 多人同框模型分不清主体 |
| ❌ 商品被严重遮挡 | 挡住的部分换姿势后必然变形 |
| ❌ 已带滤镜/文字贴纸 | 会被一起带进新图,先洗干净 |
种草图的说服力来自「像是随手拍的」。四个要素缺一不可:
| 要素 | 写法示例 |
|---|---|
| 场景 | a sunlit tree-lined street outside a coffee shop / a bright bedroom with sheer curtains / a seaside boardwalk at golden hour |
| 动作 | hand in her hair / mid-stride walking toward the camera / sitting on a step holding a coffee cup |
| 光线 | warm dappled daylight through leaves / soft window light with visible haze / low golden-hour backlight with rim glow |
| 相机语言 | shallow depth of field, shot on 50mm, slight film grain, natural colour grading |
一套穿搭铺多篇笔记:固定穿搭描述段,只换这四个要素 → 一套衣服出 5 个场景版本,覆盖不同内容主题(通勤 / 约会 / 旅行 / 居家 / 运动)。
穿搭锁定句(必写,逐件点名):
Keep every garment detail faithful: same [上装描述], same [下装描述],
same [鞋], same [包], same [配饰] — colour, pattern, texture and fit unchanged.
本技能使用 dLazy 的 gpt-image-2(图像编辑模型;本技能要「整套穿搭逐件保真 + 人和环境全换」,是对指令跟随要求最高的一类任务)。
两种等价写法,选一种。统一入口会自动选后端、失败重试、建目录落盘、估算成本:
# A. 统一入口(推荐):可切任意后端,加 --dry-run 不计费空跑
node scripts/gen.mjs --task clothing-grass-planting \
--prompt '<见下方 Prompt 模板>' \
--images <按下表顺序> \
--save output/clothing-grass-planting-<sku>.jpg
# B. 直接用 dLazy CLI(不想引入 Node 依赖时,效果等价)
dlazy gpt-image-2 --prompt '...' --images ... --save output/clothing-grass-planting.jpg
参数约定(本技能固定用法)
| 参数 | 取值 | 理由 |
|---|---|---|
--images | [原穿搭图, 场景/模特参考图];纯文字描述场景时只传原图 | 顺序即 prompt 中的 image 1 / 2 |
--size | 1024x1536(社交平台竖版) | 小红书/抖音以 3:4、9:16 为主 |
--quality | medium 常规;high 面料是卖点时 | 种草图对纹理要求略低于主图 |
--imageFormat | jpeg | 通用格式 |
--batch | 3 ~ 4 | 姿势与手部随机性大 |
--save | docs/clothing-grass-planting/output-<场景>.jpg | 按内容主题归档 |
# basic call: 用参考图换模特+场景+姿势
dlazy gpt-image-2 \
--prompt 'Lifestyle social-commerce photo. Image 1 shows the outfit to keep. Image 2 is the model, pose, scene and lighting reference. Put the complete outfit from image 1 onto the model from image 2. Keep every garment detail faithful — colour, pattern, texture and fit unchanged. Reproduce image 2 for model identity, pose, camera angle, crop, background and colour grading. Photorealistic influencer-style photo, no text, no watermark.' \
--images docs/clothing-grass-planting/source-outfit.jpg docs/clothing-grass-planting/scene-reference.jpg \
--size 1024x1536 --quality medium
# complex call: 一套穿搭铺 5 个内容场景(纯文字描述场景)
SRC=docs/clothing-grass-planting/source-outfit.jpg
OUTFIT='Keep the complete outfit from the source image faithful: same light-grey textured sleeveless knit mini dress with mock neckline, same pearl choker, same cream-and-tan tote bag, same silver pointed heels — colour, pattern, texture and fit unchanged.'
CAM='Photorealistic influencer-style photo, shallow depth of field, shot on 50mm, slight film grain, natural colour grading, no text, no watermark.'
for S in street cafe home travel commute; do
case $S in
street) SCENE='on a sunlit tree-lined street, mid-stride walking toward the camera, warm dappled daylight through the leaves' ;;
cafe) SCENE='sitting at a marble cafe table holding a coffee cup, soft window light with visible haze' ;;
home) SCENE='standing by a bright bedroom window with sheer curtains, hand resting on the frame, soft diffused morning light' ;;
travel) SCENE='on a seaside boardwalk at golden hour, hair moving in the wind, low backlight with rim glow' ;;
commute) SCENE='in a modern office lobby, walking past glass panels, cool even daylight' ;;
esac
dlazy gpt-image-2 \
--prompt "Lifestyle social-commerce photo. Replace the model, pose, scene and lighting: a young woman $SCENE. $OUTFIT $CAM" \
--images "$SRC" --size 1024x1536 --quality medium --imageFormat jpeg \
--batch 3 --save "docs/clothing-grass-planting/output-.jpg"
dlazy gpt-image-2 --dry-run --prompt --images a.jpg b.jpg --size 1024x1536
| 要查什么 | 去哪 |
|---|---|
| 认证、多后端配置、输出结构、错误码 | references/provider-cli.md |
gpt-image-2 的全部可用参数 | references/model-flags.md |
| 统一入口的全部选项 | node scripts/gen.mjs --help |
Lifestyle social-commerce photo.
Image 1 shows the outfit to keep: [逐件描述:上装 / 下装 / 鞋 / 包 / 配饰].
Image 2 is the model, pose, scene and lighting reference. ← 用参考图时保留这行
Put the complete outfit from image 1 onto the model from image 2.
Keep every garment detail faithful: same [上装], same [下装], same [鞋], same [包],
same [配饰] — colour, pattern, texture and fit unchanged.
Reproduce image 2 for the model identity, pose, camera angle, crop, background
and colour grading.
(纯文字版改为:Replace the model, pose, scene and lighting: [场景 + 动作 + 光线])
Photorealistic influencer-style photo, shallow depth of field, shot on 50mm,
slight film grain, natural colour grading, no text, no watermark.
按问题追加的修正句
| 问题 | 追加到 prompt 末尾 |
|---|---|
| 某件单品被换掉了 | 把它单独再点一次名,并追加 This item must appear unchanged; substituting it is a failure. |
| 太像棚拍,没有生活感 | Candid snapshot feel: slightly off-centre framing, motion in the hair or fabric, imperfect natural light. |
| 姿势太僵 | Natural mid-action pose, weight on one leg, relaxed hands, not posing straight at the camera. |
| 手部崩坏 | Hands must be anatomically correct — five distinct fingers, natural knuckles. |
| 场景抢戏 | The outfit must remain the visual subject; keep the background softly defocused. |
--batch 3~4 出多张挑姿势自然的,落盘到 docs/clothing-grass-planting/。| 现象 | 原因 | 处理 |
|---|---|---|
| 包或鞋被换成别的 | 未逐件点名 | 逐件点名 + 追加「换掉即失败」句 |
| 看起来还是棚拍 | 缺生活感描述 | 追加抓拍感句 + 相机语言 |
| 姿势僵硬像证件照 | 未描述动作 | 追加自然动态姿势句 |
| 手指崩坏 | 换姿势重绘手部 | 追加修手句 + --batch 4 |
| 裙长/领口变了 | 保真项写得笼统 | 写死领口形状与下摆长度 |
| 一组图风格不统一 | 相机语言段每次都改 | 相机语言段整组逐字不变 |
Visit https://dlazy.com for more information.