product-photo-studio

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🇺🇸

Original

English

🇨🇳

Translation

Chinese

Product Photo Studio

产品照片工作室

A single skill that covers every "transform a product photo with AI" workflow Picsart's

gen-ai

CLI supports. Use this whenever the user has product photography (single packshot, full catalog, or one artwork) and needs it re-rendered, re-staged, or fanned out into variants. Replaces six narrower skills with one entry point and six mode references.

Input: one or more product photos. Output: styled, composed, or fanned-out variants ready for PDPs, marketplaces, ads, mockup listings, or campaigns.

这是一项涵盖Picsart

gen-ai

CLI支持的所有“用AI转换产品照片”工作流的技能。当用户拥有产品照片（单个包装图、完整产品目录或单件艺术品），需要重新渲染、重新布置场景或生成多种变体时，即可使用本技能。它将六个细分技能整合为一个入口点，并提供六种模式参考。

输入： 一张或多张产品照片。输出： 经过风格化、场景合成或多变体生成的成品，可直接用于产品详情页（PDPs）、电商平台、广告、 mockup列表或营销活动。

When to Use

使用场景

Pick the mode that matches the task. If the user's request maps to any of these, this skill is the right one:

Mode	Trigger phrases	Reference
bulk-restyle	"catalog styling", "consistent background across SKUs", "PDP-ready staging at scale"	`references/modes/bulk-restyle.md`
compose	"lifestyle compose", "product in context", "put this product in a scene"	`references/modes/compose.md`
seasonal	"seasonal refresh", "holiday catalog", "Christmas / summer / Black Friday catalog"	`references/modes/seasonal.md`
variants	"color variants", "material variants", "colorway fan-out", "size chart re-render"	`references/modes/variants.md`
reshoot	"batch reshoot", "regenerate catalog", "enterprise catalog re-render with brand rules"	`references/modes/reshoot.md`
mockups	"product mockup", "POD mockup", "Etsy / Shopify listing mockup", "in-hand render"	`references/modes/mockups.md`

If the user's task involves video, characters, or persona generation, this is the wrong skill — see

motion-studio

gen-ai-persona-creation

gen-ai-use

选择与任务匹配的模式。如果用户的需求符合以下任意一种，本技能即为合适选择：

模式	触发短语	参考文档
bulk-restyle	“目录风格统一”、“全SKU背景一致”、“批量生成符合PDP标准的场景图”	`references/modes/bulk-restyle.md`
compose	“生活化场景合成”、“产品融入场景”、“把产品放到某个场景里”	`references/modes/compose.md`
seasonal	“季节性更新”、“节日产品目录”、“圣诞/夏季/黑五产品目录”	`references/modes/seasonal.md`
variants	“颜色变体”、“材质变体”、“多配色生成”、“尺寸表重新渲染”	`references/modes/variants.md`
reshoot	“批量重拍”、“重新生成产品目录”、“遵循品牌规则重新渲染企业级产品目录”	`references/modes/reshoot.md`
mockups	“产品mockup”、“按需印刷（POD）mockup”、“Etsy/Shopify列表mockup”、“手持效果渲染”	`references/modes/mockups.md`

如果用户的任务涉及视频、角色或人物生成，本技能并不适用——请查看

motion-studio

、

gen-ai-persona-creation

、

gen-ai-use

。

Prerequisites

前置条件

Picsart

gen-ai

CLI installed and authenticated:

bash

undefined

已安装并完成Picsart

gen-ai

CLI的身份验证：

bash

undefined

Install (signed binary, recommended)

安装（签名二进制文件，推荐方式）

curl -fsSL https://picsart.com/gen-ai-cli/install.sh | bash

Authenticate

身份验证

gen-ai login gen-ai whoami # verify


Per-mode prerequisites (image counts, brand files, manifests) are documented inside each mode reference. Always confirm pricing before a bulk run:

```bash
gen-ai pricing --model <model> --count <N>

gen-ai login gen-ai whoami # 验证登录状态


各模式的前置条件（图像数量、品牌文件、清单）均记录在对应模式的参考文档中。批量运行前务必确认定价：

```bash
gen-ai pricing --model <model> --count <N>

How to Run

操作步骤

Identify the mode from the user's request using the table in When to Use.
Load the corresponding mode reference:
```
Read
```
```
references/modes/<mode>.md
```
.
Follow the procedure described there — interview, manifest, generate.
Return to this SKILL.md only when switching modes mid-task.

根据使用场景中的表格，从用户需求中识别对应的模式。
加载对应的模式参考文档：阅读
```
references/modes/<mode>.md
```
。
按照文档中的流程执行——需求确认、创建清单、生成图像。
仅当任务中途切换模式时，才返回本SKILL.md文档。

Quick Reference

快速参考

bash

undefined

bash

undefined

Single image (compose / mockups)

单张图像（compose / mockups模式）

gen-ai generate --model <model> --image input.jpg --prompt "<prompt>"

Batch (bulk-restyle / seasonal / variants / reshoot)

批量处理（bulk-restyle / seasonal / variants / reshoot模式）

gen-ai batch --manifest manifest.json

Estimate cost before running

运行前估算成本

gen-ai pricing --model <model> --count <N>

Browse available models

浏览可用模型

gen-ai models


Manifest patterns, model recommendations, and per-mode best practices live in the individual mode references.

gen-ai models


清单模板、模型推荐及各模式最佳实践均记录在对应的模式参考文档中。

Procedure

通用流程

Always follow the same outer loop regardless of mode:

Interview — confirm: which mode, how many inputs, target output format(s), brand constraints, deadline.
Manifest — assemble a JSON manifest (single-shot inline, or batch file). Each mode reference has a template.
Estimate — run
```
gen-ai pricing
```
before committing. Surface the total to the user.
Generate — invoke
```
gen-ai generate
```
or
```
gen-ai batch
```
. Stream progress.
Verify — open the output directory and confirm the expected files exist with the expected dimensions.
Hand off — drop into the configured Drive folder, marketplace feed, or deliverable zip.

无论使用哪种模式，均需遵循以下通用流程：

需求确认 —— 确认：使用哪种模式、输入图像数量、目标输出格式、品牌约束、交付期限。
创建清单 —— 组装JSON清单（单次任务可直接内联，批量任务需创建文件）。各模式参考文档均提供模板。
成本估算 —— 在执行前运行
```
gen-ai pricing
```
，并将总成本告知用户。
生成图像 —— 调用
```
gen-ai generate
```
或
```
gen-ai batch
```
，实时反馈进度。
结果验证 —— 打开输出目录，确认预期文件已生成且尺寸符合要求。
交付成果 —— 将成果上传至指定的云端硬盘文件夹、电商平台数据源或打包为压缩文件交付。

Pitfalls

注意事项

Mode-specific pitfalls (e.g. "shadow direction drifts across variants", "seasonal overlays expire", "brand.md gate blocks SKU-XYZ") live inside each mode reference. Shared pitfalls:

Never skip the pricing estimate. Bulk runs across thousands of SKUs can rack up real cost.
Always namespace outputs by client/run — don't write into a global output dir, you'll lose track of which batch produced which assets.
Respect brand governance. If the user has an
```
enterprise-brand-governor
```
-style brand.md in scope, the manifest must reference it.
Don't switch models mid-batch. Pin the exact model version per run for consistency; see
```
enterprise-pinned-registry
```
.

各模式特有的注意事项（如“变体图像阴影方向不一致”、“季节性叠加素材过期”、“brand.md规则阻止SKU-XYZ生成”）均记录在对应模式的参考文档中。通用注意事项：

切勿跳过成本估算。针对数千个SKU的批量运行可能产生高额费用。
务必按客户/任务命名输出文件 —— 不要写入全局输出目录，否则会难以区分不同批次生成的资产。
遵循品牌管理规则。如果用户使用
```
enterprise-brand-governor
```
类型的brand.md规则文件，清单中必须引用该文件。
批量任务中途不要切换模型。为保证一致性，单次运行需固定使用特定版本的模型；详情请查看
```
enterprise-pinned-registry
```
。

Verification

结果验证

After any run:

bash

undefined

运行完成后执行以下操作：

bash

undefined

Confirm output count matches expected

确认输出文件数量与预期一致

ls -1 outputs/<run>/ | wc -l

Spot-check one output's dimensions

抽查一张输出图像的尺寸

gen-ai inspect outputs/<run>/<sample>.jpg


If anything looks off, re-run with `--debug` and consult the mode reference's "Common pitfalls" section.

gen-ai inspect outputs/<run>/<sample>.jpg


如果结果不符合预期，添加`--debug`参数重新运行，并参考模式参考文档中的“常见问题”部分。

product-photo-studio

Original

Translation

Product Photo Studio

产品照片工作室

When to Use

使用场景

Prerequisites

前置条件

Install (signed binary, recommended)

安装（签名二进制文件，推荐方式）

Authenticate

身份验证

How to Run

操作步骤

Quick Reference

快速参考

Single image (compose / mockups)

单张图像（compose / mockups模式）

Batch (bulk-restyle / seasonal / variants / reshoot)

批量处理（bulk-restyle / seasonal / variants / reshoot模式）

Estimate cost before running

运行前估算成本

Browse available models

浏览可用模型

Procedure

通用流程

Pitfalls

注意事项

Verification

结果验证

Confirm output count matches expected

确认输出文件数量与预期一致

Spot-check one output's dimensions

抽查一张输出图像的尺寸

See also

相关链接