# NanoBanana API Reference

## Base Information
- **Base URL**: `https://tomo2chin2-nano.hf.space`
- **API Version**: 6.0.0
- **Model**: Google Gemini 2.5 Flash Image Preview (gemini-2.5-flash-image-preview)
- **Interactive Docs**: https://tomo2chin2-nano.hf.space/docs
- **OpenAPI Schema**: https://tomo2chin2-nano.hf.space/openapi.json

## Authentication

### API Key Authentication
When `API_KEY` environment variable is set, all API endpoints require authentication.

**Header**: `X-API-Key: your-api-key`

**Example**:
```bash
curl -H "X-API-Key: your-api-key" https://tomo2chin2-nano.hf.space/api/health
```

If authentication fails, you'll receive:
```json
{
  "detail": "Invalid API key"
}
```

---

## Endpoints

### 1. Health Check

**GET** `/api/health`

Check if the service is running and configured properly.

#### Response
```json
{
  "status": "healthy",
  "gemini_configured": true,
  "dataset_configured": true,
  "auth_required": true,
  "timestamp": "2025-01-17T12:00:00Z"
}
```

---

### 2. Image Generation

#### 2.1 Generate Image (URL Only)

**POST** `/api/generate/url`

Generate an image and return only the URL (lightweight response).

##### Request Body
```json
{
  "prompt": "A beautiful sunset over mountains",
  "size": "1024x1024",
  "style": "Default",
  "save_to_dataset": true,
  "dataset_folder": "custom_folder",
  "name": "my-image"
}
```

##### Parameters
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| prompt | string | Yes | - | Text description for image generation |
| size | string | No | "1024x1024" | Image dimensions (WxH) |
| style | string | No | "Default" | Image style preset |
| save_to_dataset | boolean | No | true | Save to HF dataset if configured |
| dataset_folder | string | No | YYYY_MM_DD | Custom folder name for dataset |
| name | string | No | auto-generated | Custom filename (without extension) |

##### Response
```json
{
  "url": "/api/images/generated_1234567890.png",
  "size": "1024x1024",
  "style": "Default",
  "dataset_saved": true,
  "dataset_folder": "custom_folder",
  "timestamp": "2025-01-17T12:00:00Z",
  "status": "✅ Generated successfully"
}
```

---

#### 2.2 Generate Image (Full Data)

**POST** `/api/generate/full`

Generate an image and return the URL plus base64 encoded image data.

##### Request Body
Same as `/api/generate/url`

##### Response
```json
{
  "url": "/api/images/generated_1234567890.png",
  "image": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAA...",
  "size": "1024x1024",
  "style": "Default",
  "dataset_saved": true,
  "dataset_folder": "custom_folder",
  "timestamp": "2025-01-17T12:00:00Z",
  "status": "✅ Generated successfully"
}
```

---

#### 2.3 Generate Image (Flexible)

**POST** `/api/generate`

Generate an image with optional full data return.

##### Request Body
```json
{
  "prompt": "A beautiful sunset over mountains",
  "size": "1024x1024",
  "style": "Default",
  "save_to_dataset": true,
  "dataset_folder": "custom_folder",
  "name": "my-sunset",
  "return_image": false
}
```

##### Additional Parameter
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| return_image | boolean | No | false | Include base64 image in response |

##### Response
Returns either URL-only or full data response based on `return_image` parameter.

---

### 3. Image Editing

#### 3.1 Edit Image (URL Only)

**POST** `/api/edit/url`

Edit an existing image and return only the URL.

##### Request Body
```json
{
  "image": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAA...",
  "instruction": "Make the sky purple",
  "size": "1024x1024",
  "save_to_dataset": true,
  "dataset_folder": "edited",
  "name": "purple-sky"
}
```

##### Parameters
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| image | string | Yes | - | Base64 encoded input image |
| instruction | string | Yes | - | Edit instruction text |
| size | string | No | "1024x1024" | Output image dimensions |
| save_to_dataset | boolean | No | true | Save to HF dataset if configured |
| dataset_folder | string | No | YYYY_MM_DD | Custom folder name for dataset |
| name | string | No | auto-generated | Custom filename (without extension) |

##### Response
```json
{
  "url": "/api/images/edited_1234567890.png",
  "size": "1024x1024",
  "dataset_saved": true,
  "dataset_folder": "edited",
  "timestamp": "2025-01-17T12:00:00Z",
  "status": "✅ Edited successfully"
}
```

---

#### 3.2 Edit Image (Full Data)

**POST** `/api/edit/full`

Edit an image and return the URL plus base64 encoded result.

##### Request Body
Same as `/api/edit/url`

##### Response
```json
{
  "url": "/api/images/edited_1234567890.png",
  "image": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAA...",
  "size": "1024x1024",
  "dataset_saved": true,
  "dataset_folder": "edited",
  "timestamp": "2025-01-17T12:00:00Z",
  "status": "✅ Edited successfully"
}
```

---

#### 3.3 Edit Image (Flexible)

**POST** `/api/edit`

Edit an image with optional full data return.

##### Request Body
Includes all parameters from `/api/edit/url` plus:
```json
{
  "return_image": false
}
```

---

### 4. Image Composition

**POST** `/api/compose`

Combine multiple images into one composition.

##### Request Body
```json
{
  "images": [
    "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAA...",
    "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAA..."
  ],
  "instruction": "Combine these images into a collage",
  "size": "1024x1024",
  "save_to_dataset": true,
  "dataset_folder": "compositions",
  "name": "my-collage",
  "return_image": false
}
```

##### Parameters
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| images | array[string] | Yes | - | Array of base64 encoded images (2-10) |
| instruction | string | Yes | - | Composition instruction |
| size | string | No | "1024x1024" | Output dimensions |
| save_to_dataset | boolean | No | true | Save to dataset |
| dataset_folder | string | No | YYYY_MM_DD | Custom folder |
| name | string | No | auto-generated | Custom filename (without extension) |
| return_image | boolean | No | false | Include base64 in response |

##### Response
Similar structure to generation endpoints.

---

### 5. History

**GET** `/api/history`

Get recent generation history (last 10 items).

##### Query Parameters
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| limit | integer | No | 10 | Number of items to return (max 50) |

##### Response
```json
{
  "history": [
    {
      "prompt": "A beautiful sunset",
      "timestamp": "2025-01-17T12:00:00Z",
      "url": "/api/images/generated_1234567890.png",
      "type": "generation"
    },
    {
      "instruction": "Make it purple",
      "timestamp": "2025-01-17T11:55:00Z",
      "url": "/api/images/edited_1234567889.png",
      "type": "edit"
    }
  ],
  "total": 2
}
```

---

### 6. Dataset Operations

#### 6.1 List Dataset Folders

**GET** `/api/dataset/folders`

Get list of available folders in the dataset repository.

##### Response
```json
{
  "folders": [
    "2025_01_17",
    "custom_folder",
    "edited",
    "compositions"
  ],
  "dataset_repo": "username/dataset-name",
  "total": 4
}
```

---

#### 6.2 List Images in Folder

**GET** `/api/dataset/images/{folder_name}`

Get list of images in a specific dataset folder.

##### Path Parameters
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| folder_name | string | Yes | Name of the folder |

##### Response
```json
{
  "folder": "custom_folder",
  "images": [
    {
      "filename": "generated_1234567890.png",
      "url": "https://huggingface.co/datasets/username/dataset-name/resolve/main/custom_folder/generated_1234567890.png",
      "metadata": {
        "prompt": "A beautiful sunset",
        "timestamp": "2025-01-17T12:00:00Z",
        "size": "1024x1024"
      }
    }
  ],
  "total": 1
}
```

---

### 7. Static Image Access

**GET** `/api/images/{filename}`

Access generated images directly.

##### Path Parameters
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| filename | string | Yes | Image filename |

##### Response
Returns the image file with appropriate content-type header.

---

## Error Responses

### Validation Error (422)
```json
{
  "detail": [
    {
      "loc": ["body", "prompt"],
      "msg": "field required",
      "type": "value_error.missing"
    }
  ]
}
```

### Authentication Error (403)
```json
{
  "detail": "Invalid API key"
}
```

### Server Error (500)
```json
{
  "detail": "Internal server error: [error message]"
}
```

---

## Rate Limits

Currently, there are no enforced rate limits. However, please use the API responsibly:
- Avoid making more than 10 requests per minute
- Implement proper error handling and retry logic
- Cache responses when appropriate

---

## Code Examples

### Python Example
```python
import requests
import json

# Configuration
API_URL = "https://tomo2chin2-nano.hf.space"
API_KEY = "your-api-key"  # Optional if authentication is enabled

headers = {
    "Content-Type": "application/json"
}

# Add API key if configured
if API_KEY:
    headers["X-API-Key"] = API_KEY

# Generate an image
data = {
    "prompt": "A futuristic city at night with neon lights",
    "size": "1024x1024",
    "style": "Cyberpunk"
}

response = requests.post(
    f"{API_URL}/api/generate/url",
    headers=headers,
    json=data
)

if response.status_code == 200:
    result = response.json()
    print(f"Image URL: {API_URL}{result['url']}")
else:
    print(f"Error: {response.text}")
```

### JavaScript/Node.js Example
```javascript
const API_URL = "https://tomo2chin2-nano.hf.space";
const API_KEY = "your-api-key"; // Optional

async function generateImage(prompt) {
    const headers = {
        "Content-Type": "application/json"
    };

    if (API_KEY) {
        headers["X-API-Key"] = API_KEY;
    }

    const response = await fetch(`${API_URL}/api/generate/url`, {
        method: "POST",
        headers: headers,
        body: JSON.stringify({
            prompt: prompt,
            size: "1024x1024",
            style: "Default"
        })
    });

    if (response.ok) {
        const data = await response.json();
        console.log(`Image URL: ${API_URL}${data.url}`);
        return data;
    } else {
        throw new Error(`Error: ${response.statusText}`);
    }
}

// Usage
generateImage("A serene Japanese garden in autumn")
    .then(result => console.log(result))
    .catch(error => console.error(error));
```

### cURL Example
```bash
# Generate image (URL only)
curl -X POST "https://tomo2chin2-nano.hf.space/api/generate/url" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: your-api-key" \
  -d '{
    "prompt": "A beautiful mountain landscape",
    "size": "1024x1024",
    "style": "Default"
  }'

# Generate image with full data
curl -X POST "https://tomo2chin2-nano.hf.space/api/generate/full" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: your-api-key" \
  -d '{
    "prompt": "A cute robot assistant",
    "save_to_dataset": true,
    "dataset_folder": "robots"
  }'

# Check health
curl "https://tomo2chin2-nano.hf.space/api/health" \
  -H "X-API-Key: your-api-key"
```

---

## Image Styles

Available style presets for image generation:

- **Default**: Standard Gemini generation
- **Photorealistic**: Ultra-realistic photography style
- **Anime**: Japanese anime art style
- **Oil Painting**: Classical oil painting technique
- **Watercolor**: Soft watercolor painting style
- **Sketch**: Pencil sketch drawing
- **Digital Art**: Modern digital illustration
- **3D Render**: 3D rendered graphics
- **Pixel Art**: Retro pixel art style
- **Minimalist**: Simple, clean minimalist design
- **Cyberpunk**: Futuristic cyberpunk aesthetic
- **Fantasy**: Fantasy and magical themes
- **Abstract**: Abstract artistic interpretation
- **Pop Art**: Bold pop art style
- **Vintage**: Retro vintage photography

---

## Size Options

Supported image dimensions:

- `512x512` - Square, small
- `768x768` - Square, medium
- `1024x1024` - Square, large (default)
- `1024x768` - Landscape, standard
- `768x1024` - Portrait, standard
- `1920x1080` - Landscape, Full HD
- `1080x1920` - Portrait, Full HD

---

## Dataset Integration

When `HF_TOKEN` and `DATASET_REPO_ID` environment variables are configured:

1. Images are automatically saved to Hugging Face dataset repository
2. Images are organized in folders by date (YYYY_MM_DD) or custom folder names
3. Metadata (prompt, timestamp, parameters) is saved alongside images
4. Dataset can be browsed via the Dataset Gallery tab in the UI

### Dataset Folder Structure
```
dataset-repo/
├── 2025_01_17/
│   ├── generated_1234567890.png
│   └── metadata.json
├── custom_folder/
│   ├── generated_1234567891.png
│   └── metadata.json
└── README.md
```

---

## Best Practices

### For Photorealistic Images
- Use camera terms: lens type (85mm, wide-angle), lighting (golden hour, studio)
- Add details: textures, materials, weather, time of day
- Example: "Portrait photo, 85mm lens, golden hour lighting, shallow depth of field"

### For Artistic Styles
- Mention artist names or art movements for inspiration
- Specify medium and technique details
- Example: "Oil painting in the style of Van Gogh, thick brushstrokes, vibrant colors"

### For Better Results
- Be specific and descriptive in your prompts
- Use style presets for consistent results
- Include negative prompts to avoid unwanted elements
- Experiment with different sizes for optimal composition

---

## Limitations

- Maximum prompt length: 2000 characters
- Image generation timeout: 60 seconds
- Maximum file upload size: 10MB
- Supported input formats: PNG, JPEG, WebP
- Maximum images for composition: 10

---

## Support

- **Documentation**: This document
- **Interactive API Docs**: https://tomo2chin2-nano.hf.space/docs
- **GitHub Issues**: Report bugs or request features
- **Hugging Face Space**: https://huggingface.co/spaces/tomo2chin2/nano

---

## Changelog

### Version 4.0.0 (2025-01-17)
- Added API key authentication
- Implemented AuthManager for secure access
- Fixed f-string syntax issues
- Deployed to production

### Version 3.0.0 (2025-01-17)
- Added dataset integration
- Implemented dual response modes (URL/full)
- Added Dataset Gallery UI
- Custom folder support

### Version 2.0.0
- Integrated Gemini 2.5 Flash Image Preview
- Added multiple style presets
- Implemented placeholder generation

### Version 1.0.0
- Initial MVP release
- Basic image generation functionality