换模特换背景 One Shot

同一商品替换模特和背景。输入一张已有的模特图或人台图（衣服穿在真人或人形模特上的图），在保持商品本身完全不动的前提下，替换模特、替换背景，或两者同时替换。三种模式：换模特换背景 / 只换背景 / 只换模特。可指定目标模特（性别、年龄、肤色、身材），可选择参考图决定新的姿势与场景并调节参考图相似度（50% 相似 / 100% 相似），支持智能匹配模特位置与自动修手。适用于把一张已拍好的商拍图裂变成多个人群版本（国内/海外、不同年龄段、不同肤色），一次拍摄覆盖多个投放市场；也适用于人台图转真人图。当用户需要「换模特」「换背景」「同一件衣服换个人穿」「人台图变真人图」「一图多版本适配不同市场」时使用本技能。

one-shot — 同一商品替换模特和背景

拿一张已经拍好的模特图或人台图，在商品完全不动的前提下换掉人、换掉背景，或两者都换。

和 flat-lay 的区别：flat-lay 从平铺图造一张模特图；本技能是把已有的模特图裂变成多个人群 / 场景版本——一次拍摄，覆盖国内海外、不同年龄段、不同肤色的投放需求。

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1、能力边界

模式	说明
换模特换背景	人和场景全换，只留商品
只换背景	保留原模特（脸、身材、姿势），换掉环境
只换模特	保留原场景与构图，换掉人

附加能力	说明
指定模特	性别 / 年龄 / 肤色 / 身材，锁定同一张脸做多 SKU
参考图	决定新的姿势与场景，支持套图
参考图相似度	50% 相似（借风格，保留原构图）/ 100% 相似（严格照抄参考图）
智能匹配模特位置	自动对齐新模特与原商品的身体位置，避免衣服错位
自动修手	生成后自动修正手部结构
人台图转真人	输入人形模特（假人）图，输出真人上身图

不做：不改商品的款式、颜色、图案与版型；不做换脸到特定真人；不用于伪造他人肖像代言。

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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

输入类型：模特图 或 人台图（衣服已经穿在真人 / 假人身上的图）。

输入建议

做法	说明
✅ 商品完整无遮挡	手臂、包袋压住衣服的地方换人后容易崩
✅ 商品在画面中占比够大	太小的商品换人时细节会被重绘丢失
✅ 光线均匀	强逆光、大面积阴影会让新模特的光影对不上
❌ 多人同框	模型分不清该换哪个人
❌ 商品被裁切	出画的部分只能靠猜，容易长出错误结构

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3、三种模式怎么选

你的目标	选模式	prompt 要写死的不变量
同款衣服卖给欧美市场	换模特换背景	商品（款式/颜色/图案/版型/褶皱）
同一套图换季节氛围	只换背景	商品 + 模特（脸/发型/身材/姿势）
人台图转真人图	只换模特	商品 + 场景 + 构图 + 光线
一张图裂变成多年龄段版本	只换模特	商品 + 场景 + 姿势 + 景别

「参考图相似度」的等价写法

档位	写进 prompt
50% 相似	Borrow the mood, colour grading and lighting style from image 2, but keep the original pose, camera angle and crop from image 1.
100% 相似	Reproduce image 2 exactly for pose, camera angle, crop, background and lighting.

「自动修手」的等价写法：Hands must be anatomically correct — five distinct fingers per hand, natural knuckles, no fused or extra digits.

「智能匹配模特位置」的等价写法：Align the new body to the original garment: shoulder line, chest width, waist and hem must land on the same pixels as in image 1, so the garment does not shift or stretch.

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4、dLazy 工具调用

本技能使用 dLazy 的 gpt-image-2（图像编辑模型；本技能的本质是「保商品、换其余」的定向替换，需要强区域保持与指令跟随）。

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

1. Sign in or create an account at dlazy.com
2. Go to dlazy.com/dashboard/organization/api-key
3. 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	[原模特图]；带参考图时 [原模特图, 参考图]；固定模特时再追加 模特脸图	顺序即 prompt 中的 image 1 / 2 / 3
--size	与原图比例一致（竖版 1024x1536，方图 1024x1024）	换人不该改变构图比例
--quality	medium 常规；high 保面料纹理	只换人时纹理容易被抹平
--imageFormat	jpeg	电商上架通用格式
--batch	3 ~ 4	换人随机性大，尤其手部
--save	docs/one-shot/output-<市场>-<sku>.jpg	按投放市场归档

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/one-shot/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: 换模特换背景
dlazy gpt-image-2 \
  --prompt 'Replace the model and the background while keeping the garment untouched. Keep the garment exactly as it is: same colour, cut, logo, folds and hem. Replace the person with a different model of similar build, and replace the background with a sunlit outdoor city street with soft bokeh. Keep the same pose, camera angle, crop and framing.' \
  --images docs/one-shot/source-model.jpg \
  --size 1024x1536 --quality medium

# complex call: 只换模特 + 严格照抄参考姿势 + 固定模特脸 + 修手 + 出 4 张
dlazy gpt-image-2 \
  --prompt 'Replace only the model. Image 1 is the source photo, image 2 is the pose/scene reference, image 3 is the target model face. Keep the garment 100% identical to image 1 — same colour, knit texture, print placement, silhouette and hem. Reproduce image 2 exactly for pose, camera angle, crop, background and lighting. Use the face and body type from image 3. Align the new body to the original garment: shoulder line, chest width, waist and hem must land on the same pixels as in image 1. Hands must be anatomically correct — five distinct fingers per hand, no fused or extra digits. Photorealistic, no text, no watermark.' \
  --images docs/one-shot/source-model.jpg docs/one-shot/pose-ref.jpg docs/one-shot/model-face.jpg \
  --size 1024x1536 --quality high --imageFormat jpeg \
  --batch 4 --save docs/one-shot/output-eu-sku001.jpg

# 先估价不真跑
dlazy gpt-image-2 --dry-run --prompt '...' --images a.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:

1. 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
2. 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.

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5、Prompt 模板

text

Replace [the model / the background / the model and the background] of this e-commerce photo
while keeping the garment untouched.

Keep the [商品描述] exactly as it is: same [颜色], same [版型/剪裁], same [印花/logo 位置],
same folds and hem.

Replace the person with [新模特描述：性别 / 年龄 / 肤色 / 身材].
Replace the background with [新场景描述].

Keep the same pose, camera angle, crop and framing.
Align the new body to the original garment: shoulder line, chest width, waist and hem
must land on the same pixels as in image 1.
Hands must be anatomically correct — five distinct fingers per hand, no fused or extra digits.

Photorealistic catalog shot, natural light, no text, no watermark.

按模式裁剪模板

模式	删掉哪句 / 加哪句
只换背景	删掉 Replace the person with …，加 Keep the model identical — same face, hair, body and pose.
只换模特	删掉 Replace the background with …，加 Keep the background, props, framing and lighting pixel-identical to image 1.
人台图转真人	加 The source shows the garment on a headless mannequin. Replace the mannequin with a real human model of [描述], adding a natural head, neck, arms and hands. Keep the garment fit exactly as the mannequin shows it.

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6、执行流程

1. 确认模式：查第三节表格，明确哪些是不变量。
2. 校验输入：商品是否完整无遮挡、是否单人、光线是否均匀。
3. 写不变量：先把「保什么」写全（商品的颜色/版型/图案/褶皱），再写「换什么」。
4. 加位置对齐句 + 修手句——这两条几乎每次都要，能显著降低返工率。
5. 有参考图时选相似度：借氛围用 50% 档写法，严格复刻用 100% 档写法。
6. --dry-run 估价 → 真跑 → --batch 3~4 挑图，落盘到 docs/one-shot/。
7. 质检：商品是否被改（重点看图案位置和版型）、衣服是否错位、手部、光影是否统一。

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7、生成效果示例

输入：原模特图
source-model.jpg — 男青年身穿灰色落肩短袖，浅灰棚拍背景，768×1024

实际执行的命令（换模特换背景）：

bash

dlazy gpt-image-2 \
  --prompt 'Replace the model and the background of this e-commerce photo while keeping the garment untouched. Keep the grey oversized short-sleeve T-shirt exactly as it is: same slate-grey colour, same drop-shoulder cut, same white chest logo, same folds and hem. Replace the person with a different male model of similar build and age, and replace the plain studio wall with a sunlit outdoor city street with soft bokeh. Keep the same pose, camera angle, crop and framing. Photorealistic catalog shot, natural light, no text, no watermark.' \
  --images docs/one-shot/source-model.jpg \
  --size 1024x1536 --quality medium --imageFormat jpeg \
  --save docs/one-shot/example-output.jpg

输出

example-output.jpg — 1024×1536。灰色落肩短袖的颜色、版型、胸前 logo 与下摆弧线保持不变；模特换成另一位男青年，棚拍灰墙换成树影斑驳的街景，姿势与景别沿用原图。

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8、常见问题

现象	原因	处理
衣服跟着人一起变了	不变量写得不够具体	逐项写死颜色 / 版型 / 图案位置 / 下摆弧线
换人后衣服错位、被拉伸	新身体与原商品没对齐	加位置对齐句（第三节）
手指崩坏	换人时手部重绘	加修手句 + --batch 4 挑图
只换背景却把人也换了	模式句不完整	补 Keep the model identical — same face, hair, body and pose.
新背景光线和人对不上	未约束光向	追加 Match the new background lighting to the light direction on the model in image 1.
面料纹理被抹平	--quality medium	改 --quality high，或换图后接 material-enhancement
人台图转真人后脖子/手很怪	缺少补全指令	用第五节人台图专用句，明确要求补出头颈与手臂

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Tips

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