# Freepik NanoBanana Automation 🍌 (`igolaizola/freepik-nanobanana`)

Automate Freepik NanoBanana workflows powered by Google’s latest AI image model. Batch generations via no code UI or API, chain steps, set aspect ratios, leverage unlimited runs, auto build an album HTML for preview and batch download, and scale with concurrency.

- **URL**: https://beta-securitybyobscurity.apify.com/igolaizola/freepik-nanobanana.md
- **Developed by:** [Iñigo Garcia Olaizola](https://beta-securitybyobscurity.apify.com/igolaizola) (community)
- **Categories:** AI, Automation, Videos
- **Stats:** 2 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

$19.00/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.
You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors

# README

## Freepik NanoBanana Automation 🍌

Automate AI image generation on **Freepik** with **NanoBanana**, Google's latest AI image model.
Scale workflows via no-code or API, run batch jobs, chain outputs, leverage unlimited generations, and ship an album HTML for instant previewing and bulk downloads.

### 🎨 What can this actor do?

- 🤖 Run **multiple generations** in one go (with different prompts, images, and aspect ratios)
- 🔁 **Chain** steps: use outputs from earlier generations as inputs to later ones
- 🖼️ Mix inputs from **URLs**, **uploaded files**, and **Google Drive links**
- 🚦 Control **concurrency**, **random waits**, and **timeouts** to be gentle on the platform
- 📁 Get an **album.html** to preview and bulk-download your images

### 🔑 Prerequisites

1. A Freepik account with access to AI image generation (NanoBanana)
2. Your **freepik.com cookie** for authentication
3. The [Cookie-Editor](https://chromewebstore.google.com/detail/cookie-editor/hlkenndednhfkekhgcdicdfddnkalmdm) browser extension

**How to get your cookie**

1. Install [Cookie-Editor](https://chromewebstore.google.com/detail/cookie-editor/hlkenndednhfkekhgcdicdfddnkalmdm)
2. Log in to **<https://freepik.com>**
3. Click the extension icon → grant permissions if asked
4. Click **Export** → **Export as Header String**
5. Copy the exported string and paste it into the `cookie` field

### 🚀 Quick start

1. Paste your cookie in `cookie`
2. Add one or more **generation steps** under `generations` (see examples below)
3. (Optional) Upload images in `upload1` … `upload10` and reference them as `upload:1`, `upload:2`, …
4. Keep defaults or tune `concurrency`, `minWait`, `maxWait`, and `jobTimeout`
5. (Optional) Keep Apify residential proxy enabled for reliability
6. Run the actor and open the **Album URL** from results to browse your images

### ⚙️ Input parameters

| Parameter              | Type             | Description                                                                                                                           | Default                                                      |
| ---------------------- | ---------------- | ------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------ |
| `cookie`               | string           | Your **freepik.com** authentication cookie. **Required.**                                                                             | —                                                            |
| `generations`          | array of objects | The **recipe** for your run. Each item supports: `prompt`, `images`, `aspectRatio`, `runs`, `name`. See examples below. **Required.** | —                                                            |
| `concurrency`          | integer          | Parallel jobs running at once.                                                                                                        | `1`                                                          |
| `minWait`              | integer (sec)    | Minimum random wait **between tasks**.                                                                                                | `5` (if not set)                                             |
| `maxWait`              | integer (sec)    | Maximum random wait **between tasks**.                                                                                                | `10` (if not set)                                            |
| `jobTimeout`           | integer (sec)    | Max time to wait for each generation to finish.                                                                                       | `300`                                                        |
| `upload1` … `upload10` | file             | Optional uploads you can reference as `upload:1`, … `upload:10`.                                                                      | —                                                            |
| `proxyConfiguration`   | object           | Apify proxy settings. Prefilled to **RESIDENTIAL**.                                                                                   | `{ useApifyProxy: true, apifyProxyGroups: ["RESIDENTIAL"] }` |

**Notes**

- `aspectRatio` defaults to **`"1:1"`** if you omit it.
- `runs` defaults to **`1`** if you omit it.
- If a generation has **neither** `prompt` **nor** `images`, it's skipped.
- `images` supports:

  - Direct **URL** (PNG/JPG/…)
  - **`upload:n`** (e.g., `upload:3`)
  - **`output:name`** (use outputs of a previous named step)
  - **Google Drive** links (`https://drive.google.com/...`) are accepted; they'll be converted automatically.

### 🧠 The `generations` field — how to write it (with recipes)

Each item in `generations` is a **step**. You can run independent steps or chain them together.
Fields per step:

- `prompt` *(string)* – Text instruction.
- `images` *(string array)* – Inputs (URLs, `upload:n`, or `output:name`).
- `aspectRatio` *(string)* – e.g., `"1:1"`, `"16:9"`, `"9:16"`. Default `"1:1"`.
- `runs` *(integer)* – How many images to create for this step.
- `name` *(string)* – If set, later steps can reference **this step's outputs** via `output:name`.

> When a step references `output:some-name` that produced **multiple images**, one of them is picked at random for each use, which is great for variation.

#### 1) Basic single prompt (no images)

```json
{
  "generations": [
    {
      "prompt": "A cozy minimalist living room with warm evening light",
      "aspectRatio": "16:9",
      "runs": 2
    }
  ]
}
```

#### 2) Use an image URL as input

```json
{
  "generations": [
    {
      "prompt": "Improve lighting, keep composition the same",
      "images": ["https://picsum.photos/id/17/800/600"],
      "runs": 1
    }
  ]
}
```

#### 3) Use uploaded files (`upload:n`)

Upload files into `upload1`, `upload2`, … and reference them:

```json
{
  "generations": [
    {
      "prompt": "Convert @img1 into a watercolor illustration",
      "images": ["upload:1"],
      "aspectRatio": "1:1",
      "runs": 3
    }
  ]
}
```

#### 4) Combine multiple images

```json
{
  "generations": [
    {
      "prompt": "Combine @img1 and @img2 into a single cinematic poster",
      "images": [
        "https://picsum.photos/id/17/800/600",
        "https://picsum.photos/id/22/800/600"
      ],
      "aspectRatio": "16:9",
      "runs": 1,
      "name": "poster-v1"
    }
  ]
}
```

#### 5) Chain steps using `output:name`

Create a combo, then restyle it using the previous result:

```json
{
  "generations": [
    {
      "prompt": "Merge @img1 and @img2 into a single clean composition",
      "images": ["upload:1", "upload:2"],
      "aspectRatio": "16:9",
      "runs": 2,
      "name": "merge"
    },
    {
      "prompt": "Make @img1 look 10 years older in style",
      "images": ["output:merge"],
      "aspectRatio": "1:1",
      "runs": 2,
      "name": "older-style"
    },
    {
      "prompt": "Change the style of @img1 using @img2 as reference",
      "images": ["output:older-style", "upload:3"],
      "aspectRatio": "9:16",
      "runs": 2
    }
  ]
}
```

#### 6) Variation pipeline (branching outputs)

If a named step creates multiple images, later steps can branch from it. Each reference to `output:NAME` will pick **one** of those images at random:

```json
{
  "generations": [
    {
      "prompt": "Generate a mascot character, friendly and simple",
      "runs": 4,
      "name": "mascot"
    },
    {
      "prompt": "Vectorize @img1 and make it logo-ready",
      "images": ["output:mascot"],
      "runs": 3,
      "name": "logo-ready"
    },
    {
      "prompt": "Create a sticker sheet from @img1",
      "images": ["output:mascot"],
      "aspectRatio": "1:1",
      "runs": 2
    }
  ]
}
```

#### 7) Use Google Drive images

You can paste Google Drive links directly; they'll be converted to direct downloads:

```json
{
  "generations": [
    {
      "prompt": "Retouch @img1 and remove the background",
      "images": ["https://drive.google.com/file/d/FILE_ID/view?usp=sharing"],
      "runs": 1
    }
  ]
}
```

#### 8) Full example (mixing everything)

```json
{
  "generations": [
    {
      "prompt": "Combine these two into a creative collage",
      "images": [
        "https://picsum.photos/id/17/800/600",
        "https://picsum.photos/id/22/800/600"
      ],
      "aspectRatio": "16:9",
      "runs": 1,
      "name": "combination-01"
    },
    {
      "prompt": "Make the style of @img1 10 years older",
      "images": ["output:combination-01"],
      "aspectRatio": "1:1",
      "runs": 2,
      "name": "older-style"
    },
    {
      "prompt": "Change the style of @img1 using @img2 as reference",
      "images": ["output:older-style", "upload:1"],
      "aspectRatio": "9:16",
      "runs": 2
    }
  ]
}
```

**Gotchas to avoid**

- If you reference `output:some-name` that **doesn't exist yet**, the step is skipped. Always place your **producer** steps before **consumer** steps.
- If you set `concurrency > 1` and have **chained steps**, the actor might need to wait for earlier steps to finish before starting later ones. This can reduce parallelism.

### 📤 Output format

Each generated image is saved as an item:

```json
[
  {
    "album_url": "https://api.apify.com/v2/key-value-stores/xxx/records/album.html#2_12345",
    "prompt": "Make the style of @img1 10 years older",
    "index": 2,
    "job_id": 12345,
    "url": "https://some.cdn.freepik.com/path/to/image.png"
  }
]
```

### 📸 Accessing Generated Images (Album Gallery)

The actor saves an **`album.html`** file to the KeyValue store for easy browsing and downloading of generated images. You can access it by:

- Clicking any "Album URL" field in the results table
- Going to Run > Storage > KeyValueStore and finding the "album.html" file

The album interface provides several features:

- Filter images by prompt text or other metadata
- Select multiple images for batch operations
- Open images in new tabs for detailed viewing
- Download selected images as a ZIP file

Here's an example album showcasing some generated images so you can see how your results will be displayed: [Browse Example Gallery](https://igolaizola.github.io/freepik-nanobanana-automation/)

### ⚠️ Usage guidelines & best practices

**Account safety**

- Automation of Freepik accounts can result in termination, so use responsibly.
- Avoid running huge, continuous workloads.
- Prefer **residential proxies** near your region.

**Reliability tips**

- Start with `concurrency = 1`, then scale gradually.
- Tune `minWait`/`maxWait` to introduce natural pacing.
- Increase `jobTimeout` for long queues.
- Keep your cookie fresh (re-export it if you get auth errors).

**Prompting**

- Be explicit: style, mood, medium, constraints.
- For multi-image prompts, refer to them in text as `@img1`, `@img2`, … (the order matches your `images` array).

### 💳 How much will it cost?

Apify gives you **$5 in free usage credits every month** on the [Free plan](https://apify.com/pricing), which is enough to try this actor.
For regular use, we recommend at least the **Personal** plan.

### ❓FAQ

**Do I need to set `aspectRatio`?**
No. It defaults to `"1:1"` if omitted.

**Can I reuse outputs across many later steps?**
Yes—give a step a `name` and reference it later via `output:that-name`.

**Can I feed Google Drive links?**
Yes—paste the link; it's converted to a direct download internally.

# Actor input Schema

## `cookie` (type: `string`):

Cookie from freepik.com

## `generations` (type: `array`):

Each generation defines a prompt, number of runs, aspect ratio, image refs and a name to reference it. Values for images can be: URL | upload:n | output:name

## `concurrency` (type: `integer`):

Number of concurrent jobs

## `minWait` (type: `integer`):

Minimum wait time in seconds. Wait time will be randomly selected between minimum and maximum wait time.

## `maxWait` (type: `integer`):

Maximum wait time in seconds. Wait time will be randomly selected between minimum and maximum wait time.

## `jobTimeout` (type: `integer`):

Job timeout in seconds. If the job takes longer than the timeout, it will be skipped.

## `upload1` (type: `string`):

Upload an image (PNG, JPG…) to use in generations as upload:1

## `upload2` (type: `string`):

Upload an image (PNG, JPG…) to use in generations as upload:2

## `upload3` (type: `string`):

Upload an image (PNG, JPG…) to use in generations as upload:3

## `upload4` (type: `string`):

Upload an image (PNG, JPG…) to use in generations as upload:4

## `upload5` (type: `string`):

Upload an image (PNG, JPG…) to use in generations as upload:5

## `upload6` (type: `string`):

Upload an image (PNG, JPG…) to use in generations as upload:6

## `upload7` (type: `string`):

Upload an image (PNG, JPG…) to use in generations as upload:7

## `upload8` (type: `string`):

Upload an image (PNG, JPG…) to use in generations as upload:8

## `upload9` (type: `string`):

Upload an image (PNG, JPG…) to use in generations as upload:9

## `upload10` (type: `string`):

Upload an image (PNG, JPG…) to use in generations as upload:10

## `proxyConfiguration` (type: `object`):

Configure the proxy settings for the requests

## Actor input object example

```json
{
  "cookie": "insert-your-cookie-here",
  "generations": [
    {
      "prompt": "Combine these to images into a single image in a creative way",
      "images": [
        "https://picsum.photos/id/17/800/600",
        "https://picsum.photos/id/22/800/600"
      ],
      "aspectRatio": "16:9",
      "runs": 1,
      "name": "combination-01"
    },
    {
      "prompt": "Make the style of the image 10 years older",
      "images": [
        "output:combination-01"
      ],
      "aspectRatio": "1:1",
      "runs": 2,
      "name": "older-style"
    },
    {
      "prompt": "Change the style of @img1 using @img2 as reference",
      "images": [
        "output:older-style",
        "upload:1"
      ],
      "aspectRatio": "9:16",
      "runs": 2
    }
  ],
  "concurrency": 1,
  "minWait": 5,
  "maxWait": 10,
  "jobTimeout": 300,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "cookie": "insert-your-cookie-here",
    "generations": [
        {
            "prompt": "Combine these to images into a single image in a creative way",
            "images": [
                "https://picsum.photos/id/17/800/600",
                "https://picsum.photos/id/22/800/600"
            ],
            "aspectRatio": "16:9",
            "runs": 1,
            "name": "combination-01"
        },
        {
            "prompt": "Make the style of the image 10 years older",
            "images": [
                "output:combination-01"
            ],
            "aspectRatio": "1:1",
            "runs": 2,
            "name": "older-style"
        },
        {
            "prompt": "Change the style of @img1 using @img2 as reference",
            "images": [
                "output:older-style",
                "upload:1"
            ],
            "aspectRatio": "9:16",
            "runs": 2
        }
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("igolaizola/freepik-nanobanana").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "cookie": "insert-your-cookie-here",
    "generations": [
        {
            "prompt": "Combine these to images into a single image in a creative way",
            "images": [
                "https://picsum.photos/id/17/800/600",
                "https://picsum.photos/id/22/800/600",
            ],
            "aspectRatio": "16:9",
            "runs": 1,
            "name": "combination-01",
        },
        {
            "prompt": "Make the style of the image 10 years older",
            "images": ["output:combination-01"],
            "aspectRatio": "1:1",
            "runs": 2,
            "name": "older-style",
        },
        {
            "prompt": "Change the style of @img1 using @img2 as reference",
            "images": [
                "output:older-style",
                "upload:1",
            ],
            "aspectRatio": "9:16",
            "runs": 2,
        },
    ],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("igolaizola/freepik-nanobanana").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "cookie": "insert-your-cookie-here",
  "generations": [
    {
      "prompt": "Combine these to images into a single image in a creative way",
      "images": [
        "https://picsum.photos/id/17/800/600",
        "https://picsum.photos/id/22/800/600"
      ],
      "aspectRatio": "16:9",
      "runs": 1,
      "name": "combination-01"
    },
    {
      "prompt": "Make the style of the image 10 years older",
      "images": [
        "output:combination-01"
      ],
      "aspectRatio": "1:1",
      "runs": 2,
      "name": "older-style"
    },
    {
      "prompt": "Change the style of @img1 using @img2 as reference",
      "images": [
        "output:older-style",
        "upload:1"
      ],
      "aspectRatio": "9:16",
      "runs": 2
    }
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call igolaizola/freepik-nanobanana --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=igolaizola/freepik-nanobanana",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Freepik NanoBanana Automation 🍌",
        "description": "Automate Freepik NanoBanana workflows powered by Google’s latest AI image model. Batch generations via no code UI or API, chain steps, set aspect ratios, leverage unlimited runs, auto build an album HTML for preview and batch download, and scale with concurrency.",
        "version": "0.0",
        "x-build-id": "J7kGrmK6WI3aXrAZ2"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/igolaizola~freepik-nanobanana/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-igolaizola-freepik-nanobanana",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/igolaizola~freepik-nanobanana/runs": {
            "post": {
                "operationId": "runs-sync-igolaizola-freepik-nanobanana",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/igolaizola~freepik-nanobanana/run-sync": {
            "post": {
                "operationId": "run-sync-igolaizola-freepik-nanobanana",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "cookie",
                    "generations"
                ],
                "properties": {
                    "cookie": {
                        "title": "Cookie",
                        "type": "string",
                        "description": "Cookie from freepik.com"
                    },
                    "generations": {
                        "title": "Generations (JSON array of {prompt, images, aspectRatio, runs, name})",
                        "type": "array",
                        "description": "Each generation defines a prompt, number of runs, aspect ratio, image refs and a name to reference it. Values for images can be: URL | upload:n | output:name"
                    },
                    "concurrency": {
                        "title": "Concurrency",
                        "type": "integer",
                        "description": "Number of concurrent jobs",
                        "default": 1
                    },
                    "minWait": {
                        "title": "Minimum wait time",
                        "type": "integer",
                        "description": "Minimum wait time in seconds. Wait time will be randomly selected between minimum and maximum wait time.",
                        "default": 5
                    },
                    "maxWait": {
                        "title": "Maximum wait time",
                        "type": "integer",
                        "description": "Maximum wait time in seconds. Wait time will be randomly selected between minimum and maximum wait time.",
                        "default": 10
                    },
                    "jobTimeout": {
                        "title": "Job timeout",
                        "type": "integer",
                        "description": "Job timeout in seconds. If the job takes longer than the timeout, it will be skipped.",
                        "default": 300
                    },
                    "upload1": {
                        "title": "Upload 1",
                        "type": "string",
                        "description": "Upload an image (PNG, JPG…) to use in generations as upload:1"
                    },
                    "upload2": {
                        "title": "Upload 2",
                        "type": "string",
                        "description": "Upload an image (PNG, JPG…) to use in generations as upload:2"
                    },
                    "upload3": {
                        "title": "Upload 3",
                        "type": "string",
                        "description": "Upload an image (PNG, JPG…) to use in generations as upload:3"
                    },
                    "upload4": {
                        "title": "Upload 4",
                        "type": "string",
                        "description": "Upload an image (PNG, JPG…) to use in generations as upload:4"
                    },
                    "upload5": {
                        "title": "Upload 5",
                        "type": "string",
                        "description": "Upload an image (PNG, JPG…) to use in generations as upload:5"
                    },
                    "upload6": {
                        "title": "Upload 6",
                        "type": "string",
                        "description": "Upload an image (PNG, JPG…) to use in generations as upload:6"
                    },
                    "upload7": {
                        "title": "Upload 7",
                        "type": "string",
                        "description": "Upload an image (PNG, JPG…) to use in generations as upload:7"
                    },
                    "upload8": {
                        "title": "Upload 8",
                        "type": "string",
                        "description": "Upload an image (PNG, JPG…) to use in generations as upload:8"
                    },
                    "upload9": {
                        "title": "Upload 9",
                        "type": "string",
                        "description": "Upload an image (PNG, JPG…) to use in generations as upload:9"
                    },
                    "upload10": {
                        "title": "Upload 10",
                        "type": "string",
                        "description": "Upload an image (PNG, JPG…) to use in generations as upload:10"
                    },
                    "proxyConfiguration": {
                        "title": "Proxy configuration",
                        "type": "object",
                        "description": "Configure the proxy settings for the requests"
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
