# Generate Faces — Generated Photos

> Generates faces using the Generated Photos API. See the documentation

- Key: `generated_photos-generate-faces`
- Type: Action (Read-only)
- Version: 0.0.2
- App: Generated Photos (`generated_photos`) — https://pipedream.com/apps/generated-photos.md
- This page (HTML): https://pipedream.com/apps/generated-photos/actions/generate-faces
- Hints: read-only · open-world
- Source: https://github.com/PipedreamHQ/pipedream/blob/master/components/generated_photos/actions/generate-faces/generate-faces.mjs

## Description

Generates faces using the Generated Photos API. [See the documentation](https://generated.photos/account#apikey)

## Props

| Prop | Type | Required | Description |
|---|---|---|---|
| `version` | `string` | No | Model version |
| `confidence` | `string` | No | Valid values: 0.0 - 1.0. Since all of our faces are generated by AI, we’ve used several neural networks to classify images. This parameter controls the threshold of how confident were predictions. |
| `emotion` | `string` | No | Emotion value |
| `gender` | `string` | No | Gender value |
| `age` | `string` | No | Age value |
| `ethnicity` | `string` | No | Ethnicity value |
| `eyeColor` | `string` | No | Eye color value |
| `hairColor` | `string` | No | Hair color value |
| `hairLength` | `string` | No | Hair length value |
| `orderBy` | `string` | No | Value to order the results by |
| `limit` | `integer` | No | The maximum number of results to return |

## Run it

**MCP**

```ts
import { Client } from "@modelcontextprotocol/sdk/client/index.js"
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js"
import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const accessToken = await pd.rawAccessToken

const transport = new StreamableHTTPClientTransport(
  new URL("https://remote.mcp.pipedream.net/v3"),
  {
    requestInit: {
      headers: {
        Authorization: `Bearer ${accessToken}`,
        "x-pd-project-id": process.env.PIPEDREAM_PROJECT_ID!,
        "x-pd-environment": "production",
        "x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
        "x-pd-app-slug": "generated_photos",
      },
    },
  },
)

const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)

const { tools } = await mcp.listTools()

// listTools() hands your model this tool's input schema, so it can
// fill the arguments itself:
const result = await mcp.callTool({
  name: "generated_photos-generate-faces",
  arguments: {
    version: "Version",
    confidence: "Confidence",
  },
})
```

**TypeScript**

```ts
import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const result = await pd.actions.run({
  id: "generated_photos-generate-faces",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    generated_photos: { authProvisionId: "apn_xxxxxxx" },
    version: "Version",
    confidence: "Confidence",
  },
})

console.log(result)
```

**cURL**

```bash
curl -X POST https://api.pipedream.com/v1/connect/{project_id}/actions/run \
  -H "Content-Type: application/json" \
  -H "X-PD-Environment: production" \
  -H "Authorization: Bearer {access_token}" \
  -d '{
    "external_user_id": "{external_user_id}",
    "id": "generated_photos-generate-faces",
    "configured_props": {
      "generated_photos": { "authProvisionId": "apn_xxxxxxx" },
      "version": "Version",
      "confidence": "Confidence"
    }
  }'
```

---

- App: https://pipedream.com/apps/generated-photos.md · All apps: https://pipedream.com/apps