Python Runware SDK
The Python Runware SDK is used to run image inference with the Runware API, powered by the Runware inference platform. It can be used to generate images with text-to-image and image-to-image. It also allows the use of an existing gallery of models or selecting any model or LoRA from the CivitAI gallery. The API also supports upscaling, background removal, inpainting and outpainting, and a series of other ControlNet models.
Get API Access
To use the Python Runware SDK, you need to obtain an API key. Follow these steps to get API access:
- Create a free account with Runware.
- Once you have created an account, you will receive an API key and trial credits.
Important: Please keep your API key private and do not share it with anyone. Treat it as a sensitive credential.
Documentation
For detailed documentation and API reference, please visit the Runware Documentation or refer to the docs folder in the repository. The documentation provides comprehensive information about the available classes, methods, and parameters, along with code examples to help you get started with the Runware SDK Python.
Installation
To install the Python Runware SDK, use the following command:
pip install runware
Usage
Before using the Python Runware SDK, make sure to set your Runware API key in the environment variable RUNWARE_API_KEY
. You can do this by creating a .env
file in your project root and adding the following line:
RUNWARE_API_KEY = "your_api_key_here"
Generating Images
To generate images using the Runware API, you can use the imageInference
method of the Runware
class. Here's an example:
from runware import Runware, IImageInference
async def main() -> None:
runware = Runware(api_key=RUNWARE_API_KEY)
await runware.connect()
request_image = IImageInference(
positivePrompt="a beautiful sunset over the mountains",
model="civitai:36520@76907",
numberResults=4,
negativePrompt="cloudy, rainy",
height=512,
width=512,
)
images = await runware.imageInference(requestImage=request_image)
for image in images:
print(f"Image URL: {image.imageURL}")
Enhancing Prompts
To enhance prompts using the Runware API, you can use the promptEnhance
method of the Runware
class. Here's an example:
from runware import Runware, IPromptEnhance
async def main() -> None:
runware = Runware(api_key=RUNWARE_API_KEY)
await runware.connect()
prompt = "A beautiful sunset over the mountains"
prompt_enhancer = IPromptEnhance(
prompt=prompt,
promptVersions=3,
promptMaxLength=64,
)
enhanced_prompts = await runware.promptEnhance(promptEnhancer=prompt_enhancer)
for enhanced_prompt in enhanced_prompts:
print(enhanced_prompt.text)
Removing Image Background
To remove the background from an image using the Runware API, you can use the imageBackgroundRemoval
method of the Runware
class. Here's an example:
from runware import Runware, IImageBackgroundRemoval
async def main() -> None:
runware = Runware(api_key=RUNWARE_API_KEY)
await runware.connect()
image_path = "image.jpg"
remove_image_background_payload = IImageBackgroundRemoval(image_initiator=image_path)
processed_images = await runware.imageBackgroundRemoval(
removeImageBackgroundPayload=remove_image_background_payload
)
for image in processed_images:
print(image.imageURL)
Image-to-Text Conversion
To convert an image to text using the Runware API, you can use the imageCaption
method of the Runware
class. Here's an example:
from runware import Runware, IRequestImageToText
async def main() -> None:
runware = Runware(api_key=RUNWARE_API_KEY)
await runware.connect()
image_path = "image.jpg"
request_image_to_text_payload = IImageCaption(image_initiator=image_path)
image_to_text = await runware.imageCaption(
requestImageToText=request_image_to_text_payload
)
print(image_to_text.text)
Upscaling Images
To upscale an image using the Runware API, you can use the imageUpscale
method of the Runware
class. Here's an example:
from runware import Runware, IImageUpscale
async def main() -> None:
runware = Runware(api_key=RUNWARE_API_KEY)
await runware.connect()
image_path = "image.jpg"
upscale_factor = 4
upscale_gan_payload = IImageUpscale(
inputImage=image_path, upscaleFactor=upscale_factor
)
upscaled_images = await runware.imageUpscale(upscaleGanPayload=upscale_gan_payload)
for image in upscaled_images:
print(image.imageSrc)
For more detailed usage and additional examples, please refer to the examples directory.