Leonardo-Ai-SDK

Summary

Rest Endpoints: Leonardo.Ai API OpenAPI specification.

Table of Contents

• Leonardo-Ai-SDK
  • SDK Installation
  • IDE Support
  • SDK Example Usage
  • Available Resources and Operations
  • Retries
  • Error Handling
  • Custom HTTP Client
  • Server Selection
  • Authentication
  • Debugging

SDK Installation

The SDK can be installed with either pip or poetry package managers.

PIP

PIP is the default package installer for Python, enabling easy installation and management of packages from PyPI via the command line.

pip install Leonardo-Ai-SDK

Poetry

Poetry is a modern tool that simplifies dependency management and package publishing by using a single pyproject.toml file to handle project metadata and dependencies.

poetry add Leonardo-Ai-SDK

IDE Support

PyCharm

Generally, the SDK will work well with most IDEs out of the box. However, when using PyCharm, you can enjoy much better integration with Pydantic by installing an additional plugin.

• PyCharm Pydantic Plugin

SDK Example Usage

Example

# Synchronous Example
from leonardo_ai_sdk import LeonardoAiSDK

with LeonardoAiSDK(
    bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as leonardo_ai_sdk:

    res = leonardo_ai_sdk.init_images.delete_init_image_by_id(id="<id>")

    assert res.object is not None

    # Handle response
    print(res.object)

The same SDK client can also be used to make asychronous requests by importing asyncio.

# Asynchronous Example
import asyncio
from leonardo_ai_sdk import LeonardoAiSDK

async def main():
    async with LeonardoAiSDK(
        bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
    ) as leonardo_ai_sdk:

        res = await leonardo_ai_sdk.init_images.delete_init_image_by_id_async(id="<id>")

        assert res.object is not None

        # Handle response
        print(res.object)

asyncio.run(main())

Available Resources and Operations

Available methods

dataset

• create_dataset - Create a Dataset
• delete_dataset_by_id - Delete a Single Dataset by ID
• get_dataset_by_id - Get a Single Dataset by ID
• upload_dataset_image - Upload dataset image
• upload_dataset_image_from_gen - Upload a Single Generated Image to a Dataset

elements

• create_element - Train a Custom Element
• delete_element_by_id - Delete a Single Custom Element by ID
• get_element_by_id - Get a Single Custom Element by ID
• list_elements - List Elements

image

• create_generation - Create a Generation of Images
• delete_generation_by_id - Delete a Single Generation
• get_generation_by_id - Get a Single Generation
• get_generations_by_user_id - Get generations by user ID

init_images

• delete_init_image_by_id - Delete init image
• get_init_image_by_id - Get single init image
• upload_canvas_init_image - Upload Canvas Editor init and mask image
• upload_init_image - Upload init image

models

• create_model - Train a Custom Model
• delete_model_by_id - Delete a Single Custom Model by ID
• get_model_by_id - Get a Single Custom Model by ID
• list_platform_models - List Platform Models

motion

• create_svd_motion_generation - Create SVD Motion Generation

pricing_calculator

• pricing_calculator - Calculating API Cost

prompt

• prompt_improve - Improve a Prompt
• prompt_random - Generate a Random prompt

realtime_canvas

• create_lcm_generation - Create LCM Generation
• perform_alchemy_upscale_lcm - Perform Alchemy Upscale on a LCM image
• perform_inpainting_lcm - Perform inpainting on a LCM image
• perform_instant_refine - Perform instant refine on a LCM image

texture

• create_texture_generation - Create Texture Generation
• delete_texture_generation_by_id - Delete Texture Generation by ID
• get_texture_generation_by_id - Get Texture Generation by ID
• get_texture_generations_by_model_id - Get texture generations by 3D Model ID

three_d_model_assets

• delete3_d_model_by_id - Delete 3D Model by ID
• get3_d_model_by_id - Get 3D Model by ID
• get3_d_models_by_user_id - Get 3D models by user ID
• upload_model_asset - Upload 3D Model

user

• get_user_self - Get user information

variation

• create_universal_upscaler_job - Create using Universal Upscaler
• create_variation_no_bg - Create no background
• create_variation_unzoom - Create unzoom
• create_variation_upscale - Create upscale
• get_variation_by_id - Get variation by ID

Retries

Some of the endpoints in this SDK support retries. If you use the SDK without any configuration, it will fall back to the default retry strategy provided by the API. However, the default retry strategy can be overridden on a per-operation basis, or across the entire SDK.

To change the default retry strategy for a single API call, simply provide a RetryConfig object to the call:

from leonardo_ai_sdk import LeonardoAiSDK
from leonardo_ai_sdk.utils import BackoffStrategy, RetryConfig

with LeonardoAiSDK(
    bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as leonardo_ai_sdk:

    res = leonardo_ai_sdk.init_images.delete_init_image_by_id(id="<id>",
        RetryConfig("backoff", BackoffStrategy(1, 50, 1.1, 100), False))

    assert res.object is not None

    # Handle response
    print(res.object)

If you'd like to override the default retry strategy for all operations that support retries, you can use the retry_config optional parameter when initializing the SDK:

from leonardo_ai_sdk import LeonardoAiSDK
from leonardo_ai_sdk.utils import BackoffStrategy, RetryConfig

with LeonardoAiSDK(
    retry_config=RetryConfig("backoff", BackoffStrategy(1, 50, 1.1, 100), False),
    bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as leonardo_ai_sdk:

    res = leonardo_ai_sdk.init_images.delete_init_image_by_id(id="<id>")

    assert res.object is not None

    # Handle response
    print(res.object)

Error Handling

Handling errors in this SDK should largely match your expectations. All operations return a response object or raise an exception.

By default, an API error will raise a errors.SDKError exception, which has the following properties:

Property	Type	Description
.status_code	int	The HTTP status code
.message	str	The error message
.raw_response	httpx.Response	The raw HTTP response
.body	str	The response content

When custom error responses are specified for an operation, the SDK may also raise their associated exceptions. You can refer to respective Errors tables in SDK docs for more details on possible exception types for each operation. For example, the delete_init_image_by_id_async method may raise the following exceptions:

Error Type	Status Code	Content Type
errors.SDKError	4XX, 5XX	*/*

Example

from leonardo_ai_sdk import LeonardoAiSDK
from leonardo_ai_sdk.models import errors

with LeonardoAiSDK(
    bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as leonardo_ai_sdk:
    res = None
    try:

        res = leonardo_ai_sdk.init_images.delete_init_image_by_id(id="<id>")

        assert res.object is not None

        # Handle response
        print(res.object)

    except errors.SDKError as e:
        # handle exception
        raise(e)

Custom HTTP Client

The Python SDK makes API calls using the httpx HTTP library. In order to provide a convenient way to configure timeouts, cookies, proxies, custom headers, and other low-level configuration, you can initialize the SDK client with your own HTTP client instance. Depending on whether you are using the sync or async version of the SDK, you can pass an instance of HttpClient or AsyncHttpClient respectively, which are Protocol's ensuring that the client has the necessary methods to make API calls. This allows you to wrap the client with your own custom logic, such as adding custom headers, logging, or error handling, or you can just pass an instance of httpx.Client or httpx.AsyncClient directly.

For example, you could specify a header for every request that this sdk makes as follows:

from leonardo_ai_sdk import LeonardoAiSDK
import httpx

http_client = httpx.Client(headers={"x-custom-header": "someValue"})
s = LeonardoAiSDK(client=http_client)

or you could wrap the client with your own custom logic:

from leonardo_ai_sdk import LeonardoAiSDK
from leonardo_ai_sdk.httpclient import AsyncHttpClient
import httpx

class CustomClient(AsyncHttpClient):
    client: AsyncHttpClient

    def __init__(self, client: AsyncHttpClient):
        self.client = client

    async def send(
        self,
        request: httpx.Request,
        *,
        stream: bool = False,
        auth: Union[
            httpx._types.AuthTypes, httpx._client.UseClientDefault, None
        ] = httpx.USE_CLIENT_DEFAULT,
        follow_redirects: Union[
            bool, httpx._client.UseClientDefault
        ] = httpx.USE_CLIENT_DEFAULT,
    ) -> httpx.Response:
        request.headers["Client-Level-Header"] = "added by client"

        return await self.client.send(
            request, stream=stream, auth=auth, follow_redirects=follow_redirects
        )

    def build_request(
        self,
        method: str,
        url: httpx._types.URLTypes,
        *,
        content: Optional[httpx._types.RequestContent] = None,
        data: Optional[httpx._types.RequestData] = None,
        files: Optional[httpx._types.RequestFiles] = None,
        json: Optional[Any] = None,
        params: Optional[httpx._types.QueryParamTypes] = None,
        headers: Optional[httpx._types.HeaderTypes] = None,
        cookies: Optional[httpx._types.CookieTypes] = None,
        timeout: Union[
            httpx._types.TimeoutTypes, httpx._client.UseClientDefault
        ] = httpx.USE_CLIENT_DEFAULT,
        extensions: Optional[httpx._types.RequestExtensions] = None,
    ) -> httpx.Request:
        return self.client.build_request(
            method,
            url,
            content=content,
            data=data,
            files=files,
            json=json,
            params=params,
            headers=headers,
            cookies=cookies,
            timeout=timeout,
            extensions=extensions,
        )

s = LeonardoAiSDK(async_client=CustomClient(httpx.AsyncClient()))

Server Selection

Override Server URL Per-Client

The default server can also be overridden globally by passing a URL to the server_url: str optional parameter when initializing the SDK client instance. For example:

from leonardo_ai_sdk import LeonardoAiSDK

with LeonardoAiSDK(
    server_url="https://cloud.leonardo.ai/api/rest/v1",
    bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as leonardo_ai_sdk:

    res = leonardo_ai_sdk.init_images.delete_init_image_by_id(id="<id>")

    assert res.object is not None

    # Handle response
    print(res.object)

Authentication

Per-Client Security Schemes

This SDK supports the following security scheme globally:

Name	Type	Scheme
bearer_auth	http	HTTP Bearer

To authenticate with the API the bearer_auth parameter must be set when initializing the SDK client instance. For example:

from leonardo_ai_sdk import LeonardoAiSDK

with LeonardoAiSDK(
    bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as leonardo_ai_sdk:

    res = leonardo_ai_sdk.init_images.delete_init_image_by_id(id="<id>")

    assert res.object is not None

    # Handle response
    print(res.object)

Debugging

You can setup your SDK to emit debug logs for SDK requests and responses.

You can pass your own logger class directly into your SDK.

from leonardo_ai_sdk import LeonardoAiSDK
import logging

logging.basicConfig(level=logging.DEBUG)
s = LeonardoAiSDK(debug_logger=logging.getLogger("leonardo_ai_sdk"))

Maturity

This SDK is in beta, and there may be breaking changes between versions without a major version update. Therefore, we recommend pinning usage to a specific package version. This way, you can install the same version each time without breaking changes unless you are intentionally looking for the latest version.

Contributions

While we value open-source contributions to this SDK, this library is generated programmatically. Feel free to open a PR or a Github issue as a proof of concept and we'll do our best to include it in a future release !

SDK Created by Speakeasy