穿搭种草图 Clothing Grass Planting

相同穿搭改模特场景姿势（种草图）。上传一张已有的穿搭图，保持整套穿搭完全不变，把模特、场景与姿势换成社交平台种草风格：街拍、咖啡馆、居家、旅行等真实生活场景，自然抓拍姿态与氛围光影。可用参考图决定新的模特、场景与姿势，也可用自定义提示词描述。上衣、下装、鞋、包、配饰的颜色、图案、材质与版型全部保持不变，只有人、地点、动作和光线改变。适用于同一套穿搭铺满小红书/抖音/Instagram 的多篇种草笔记、把棚拍电商图转成生活化种草图、一套衣服产出多个博主风格版本。当用户需要「种草图」「街拍风」「生活场景图」「同一套穿搭换场景」「电商图转种草图」时使用本技能。

dlazy@dlazyai

Install

openclaw skills install @dlazyai/clothing-grass-planting

clothing-grass-planting — 相同穿搭改模特场景姿势

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。

1、能力边界

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。

2、输入素材规则

生成前先自检这几条硬性约束：

大小：20KB ~ 15MB
分辨率：大于 400×400
格式：jpg / jpeg / png / webp

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

3、种草图的场景配方

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）：

text

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.

4、dLazy 工具调用

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）。

Authentication

All requests require a dLazy API key. The recommended way to authenticate is:

bash

dlazy login

This runs a device-code flow (also works in remote shells) and automatically saves your API key to the local CLI config — no manual copy/paste required.

Alternative: Set the Key Manually

If you already have an API key, you can save it directly:

bash

dlazy auth set YOUR_API_KEY

The CLI saves the key in your user config directory (~/.dlazy/config.json on macOS/Linux, %USERPROFILE%\.dlazy\config.json on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the DLAZY_API_KEY environment variable.

Getting Your API Key Manually

Sign in or create an account at dlazy.com
Go to dlazy.com/dashboard/organization/api-key
Copy the key shown in the API Key section

Each key is scoped to your dLazy organization and can be rotated or revoked at any time from the same dashboard.

About & Provenance

CLI source code: github.com/dlazyai/cli
Maintainer: dlazyai
npm package: @dlazy/cli (pinned to 1.2.3 in this skill's install spec)
Homepage: dlazy.com

You can install on demand without persisting a global binary by running:

bash

npx @dlazy/cli@1.2.3 <command>

Or, if you prefer a global install, the skill's metadata.clawdbot.install field declares the exact pinned version (npm install -g @dlazy/cli@1.2.3). Review the GitHub source before installing.

How It Works

This skill is a thin client over the dLazy hosted API. When you invoke it:

Prompts and parameters you provide are sent to the dLazy API endpoint (api.dlazy.com) for inference.
Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (files.dlazy.com) so the model can read them — the same flow as any cloud-based generation API.
Generated output URLs returned by the API are hosted on files.dlazy.com.

This is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles. See dlazy.com for the full service terms.

Usage

CRITICAL INSTRUCTION FOR AGENT: Run the dlazy gpt-image-2 command to get results.

bash

dlazy gpt-image-2 -h

Options:
  --prompt <prompt>            Prompt
  --images [images...]         Images [image: url or local path] (max 5)
  --size <size>                Size [default: auto] (choices: "1024x1024",
                               "1536x1024", "1024x1536", "2048x2048",
                               "2048x1152", "3840x2160", "2160x3840", "auto")
  --imageFormat <imageFormat>  Image Format [default: jpeg] (choices: "jpeg",
                               "png", "webp")
  --quality <quality>          Quality [default: medium] (choices: "low",
                               "medium", "high")
  --dry-run                    Print payload without executing the tool
  --no-wait                    Return generateId immediately for async tasks
  --timeout <seconds>          Max seconds to wait for async completion
                               (default: "1800")
  --input <jsonOrFile>         Inline JSON or @path/to/file.json — merged under
                               flag values (flags win)
  --save <path>                Download the result asset to this local path
                               (mkdir + retry handled for you). A destination
                               path — NOT a response format; for stdout shape
                               use --format
  --batch <n>                  Fan-out N parallel runs (cloud tools only)
                               (default: "1")
  -h, --help                   display help for command

Any flag also accepts pipe references — - (auto-pick from upstream stdin), @N (n-th output), @N.path (jsonpath into output), @* (all primary values), @stdin / @stdin:path (whole envelope). See dlazy --help for details.

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

Output Format

json

{
  "ok": true,
  "result": {
    "tool": "gpt-image-2",
    "modelId": "gpt-image-2",
    "data": {
      "urls": [
        "https://files.dlazy.com/data/ai/20260817092703-057827edb8aa.jpg"
      ]
    },
    "savedPath": "docs/clothing-grass-planting/example-output.jpg"
  }
}

Async tasks (when --no-wait is passed) omit data and return a task: { generateId, status } field instead. Use dlazy status <generateId> --wait to poll.

Command Examples

bash

# 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-$S.jpg"
done

# 先估价不真跑
dlazy gpt-image-2 --dry-run --prompt '...' --images a.jpg b.jpg --size 1024x1536

Error Handling

Code	Error Type	Example Message
401	Unauthorized (No API Key)	`ok: false, code: "unauthorized", message: "API key is missing or invalid"`
501	Missing required parameter	`error: required option '--prompt <prompt>' not specified`
502	Local file read error	`Error: Image file/Video file not found: C:\path\to\your\file`
503	API request failed (no balance)	`ok: false, code: "insufficient_balance"`
503	API request failed (server error)	`HTTP status code error (500 server crash)`
504	Asynchronous task execution failed	`=== Generation Failed ===` / `{Specific error reason returned by backend, for example "Prompt violates safety policy"}`

AGENT CRITICAL INSTRUCTION:

If the execution result returns code: "insufficient_balance", you MUST explicitly inform the user that their credits are insufficient and guide them to recharge: https://dlazy.com/dashboard/organization/settings?tab=credits

If the execution result returns code: "unauthorized" or indicates missing API key, you MUST inform the user to get their API key from https://dlazy.com/dashboard/organization/api-key and save it using dlazy auth set <key> and resume the task.

5、Prompt 模板

text

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.`

6、执行流程

洗干净输入：去掉滤镜、文字贴纸（remove-watermark）。
逐件列穿搭：上装 / 下装 / 鞋 / 包 / 配饰——一件一句，这段整组复用。
定内容主题：通勤 / 约会 / 旅行 / 居家 / 运动，每个主题对应一组场景 + 动作 + 光线（第三节配方）。
补相机语言：50mm、浅景深、轻微颗粒——这是「像随手拍」的关键。
--batch 3~4 出多张挑姿势自然的，落盘到 docs/clothing-grass-planting/。
质检：单品是否齐、是否被换、手部、生活感是否够、背景是否抢戏。

7、生成效果示例

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：

bash

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。

8、常见问题

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

Tips

Visit https://dlazy.com for more information.