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Official Python SDK for RunBlob — all AI models in one place. Fast, affordable, high-quality generations. runblob.com

Project description

RunBlob Python SDK

Official async Python SDK for the RunBlob AI generation platform.

Currently supported: Nano Banana (Gemini) image generation, Kling video and image generation (12+ models including O1, O3, Motion Control), Veo 3 video generation (Fast, Quality, up to 4K), ChatGPT image generation and editing. More models coming in future updates.

For pricing, available models and API documentation visit runblob.com.

Install

pip install runblob

Configuration

from runblob import RunBlob

client = RunBlob(
    api_key="sk-...",
    max_connections=200,
    rate_limit_rps=100.0,
    max_retries=5,
    timeout=60.0,
    circuit_breaker_threshold=10,
)

Nano Banana (Gemini) — Image Generation

import asyncio
from runblob import RunBlob

async def main():
    async with RunBlob(api_key="sk-...") as client:
        result = await client.nanobanana.generate_and_wait(
            prompt="A cute orange cat on a windowsill",
            model="pro",
            quality="4k",
        )
        print(result.result_image_url)

asyncio.run(main())

Kling — Video Generation

async with RunBlob(api_key="sk-...") as client:
    result = await client.kling.generate_and_wait(
        prompt="A cinematic sunset over the ocean",
        model="kling_2.5_turbo",
        duration="10",
        aspect_ratio="16:9",
    )
    print(result.video_url)

Kling — O3 Video (up to 15s)

async with RunBlob(api_key="sk-...") as client:
    result = await client.kling.generate_o3_video_and_wait(
        prompt="A dog running through a field of flowers",
        model="kling_o3_pro",
        duration="15",
    )
    print(result.video_url)

Kling — O3 Photo (up to 4K)

async with RunBlob(api_key="sk-...") as client:
    result = await client.kling.generate_o3_photo_and_wait(
        prompt="A portrait in studio lighting",
        img_resolution="4k",
        aspect_ratio="3:4",
    )
    print(result.image_url)

Kling — Image-to-Video

async with RunBlob(api_key="sk-...") as client:
    result = await client.kling.generate_and_wait(
        prompt="Make this photo come alive",
        model="kling_2.1",
        image_url="https://example.com/photo.jpg",
    )
    print(result.video_url)

Veo 3 — Fast Video

async with RunBlob(api_key="sk-...") as client:
    result = await client.veo.generate_and_wait(
        prompt="A cinematic drone shot flying over a mountain lake at sunrise",
        model="veo_3_fast",
        aspect_ratio="16:9",
    )
    print(result.video_url)

Veo 3 — Quality 4K

async with RunBlob(api_key="sk-...") as client:
    result = await client.veo.generate_and_wait(
        prompt="Slow motion shot of rain drops falling on autumn leaves",
        model="veo_3_quality_4k",
        aspect_ratio="16:9",
    )
    print(result.video_url)

Veo 3 — Image-to-Video

async with RunBlob(api_key="sk-...") as client:
    result = await client.veo.generate_and_wait(
        prompt="Make this photo come alive with gentle camera movement",
        model="veo_3_fast",
        bytes_image="base64_encoded_image_here",
    )
    print(result.video_url)

ChatGPT — Image Generation

async with RunBlob(api_key="sk-...") as client:
    result = await client.chatgpt.generate_and_wait(
        prompt="A cute cat illustration in watercolor style",
        aspect_ratio="1:1",
    )
    print(result.result_image_url)

ChatGPT — Image Editing

async with RunBlob(api_key="sk-...") as client:
    result = await client.chatgpt.generate_and_wait(
        prompt="Remove the background and add a sunset",
        images=["https://example.com/photo.jpg"],
        aspect_ratio="4:3",
    )
    print(result.result_image_url)

Batch generation

async with RunBlob(api_key="sk-...") as client:
    results = await client.nanobanana.generate_batch_and_wait(
        prompts=[
            "A red apple on a white table",
            "A mountain peak covered in snow",
            "An anime girl with blue hair",
        ],
        model="standard",
        concurrency=5,
    )
    for r in results:
        print(r.result_image_url)

Webhooks

async with RunBlob(api_key="sk-...") as client:
    await client.kling.generate(
        prompt="A forest at dawn",
        callback_url="https://your-server.com/webhook",
    )
from runblob import parse_webhook_payload

event = parse_webhook_payload(request_body)
if event.is_completed:
    print(event.result_image_url)

Error handling

from runblob import RunBlob, AuthenticationError, RateLimitError, RunBlobError

async with RunBlob(api_key="sk-...") as client:
    try:
        result = await client.kling.generate(prompt="test")
    except AuthenticationError:
        print("Invalid API key")
    except RateLimitError as e:
        print(f"Rate limited, retry after {e.retry_after}s")
    except RunBlobError as e:
        print(f"SDK error: {e}")

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