Skip to main content

Python SDK for InstantLight

Project description

InstantLight-sdk

Installation

Install the SDK using pip:

pip install InstantLight

Usage

Here’s an example of how to use the InstantLight SDK to make an API call and handle the response:

from InstantLight.sdk import InstantLightSDK
from PIL import Image
import base64
from io import BytesIO

# Initialize the SDK
sdk = YourSDK(
    base_url='https://api.fotographer.ai/instantLight',
    api_key='your_api_key',
    email='your_email@example.com'
)

# Convert images to base64
def image_to_base64(image_path):
    with Image.open(image_path) as img:
        buffered = BytesIO()
        img.save(buffered, format="PNG")
        return base64.b64encode(buffered.getvalue()).decode('utf-8')

# Prepare the image data
foreground_image64 = image_to_base64('path_to_foreground_image.png')
background_image64 = image_to_base64('path_to_background_image.png')

# Define the image data
image_data = {
    "foreground_image64": foreground_image64,
    "background_image64": background_image64,
    "prompt": "example prompt",
    "mode": 2,
    "prompt_strength": 0.8,
    "inf_factor": 1.00,
    "mask_strength": 0.5,
    "image_width": 1400,
    "image_height": 1400,
    "additional_prompt": "",
    "negative_prompt": "",
    "lights": []
}

# Make the API call
response = sdk.image_generation.get_image_gen(image_data)

# Print the response keys for debugging
print("Response Keys:", response.keys())

# Print the keys at all levels of the response for debugging
for key, value in response.items():
    if isinstance(value, dict):
        print(f"Response[{key}] Keys: {value.keys()}")

# Save the image and mask image if they exist in the response
if 'image' in response:
    image_data = response['image']
    image_bytes = base64.b64decode(image_data)
    image = Image.open(BytesIO(image_bytes))
    image.save("output_image.png")
    print("Image retrieved and saved as output_image.png.")
    
    if 'mask_image' in response:
        mask_data = response['mask_image']
        mask_bytes = base64.b64decode(mask_data)
        mask_image = Image.open(BytesIO(mask_bytes))
        mask_image.save("output_mask_image.png")
        print("Mask retrieved and saved as output_mask_image.png.")
else:
    print("Response does not contain 'image'")

Make sure to update your_api_key and your_email@example.com with the actual values in the example usage section.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

InstantLight-1.2.0.tar.gz (4.4 kB view details)

Uploaded Source

Built Distribution

InstantLight-1.2.0-py3-none-any.whl (5.8 kB view details)

Uploaded Python 3

File details

Details for the file InstantLight-1.2.0.tar.gz.

File metadata

  • Download URL: InstantLight-1.2.0.tar.gz
  • Upload date:
  • Size: 4.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.5

File hashes

Hashes for InstantLight-1.2.0.tar.gz
Algorithm Hash digest
SHA256 21104767774c7a1e53e56cf9fa4074940f3022dc1021d00ecd1b7c2eb1967a79
MD5 3d4b345e09564884095ec1370e0cd111
BLAKE2b-256 0e792da3bf54cc141dd890c129eb93b96fb8d99f8e2f8aa75cf8ac032155f458

See more details on using hashes here.

File details

Details for the file InstantLight-1.2.0-py3-none-any.whl.

File metadata

File hashes

Hashes for InstantLight-1.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4ca403020a01f9d518e7e0b1c6bf64e8c89ca1e65dc3b1b1042f0c8143448ad9
MD5 41a36aa8417f8296508f4fa55fa5a4cf
BLAKE2b-256 ad935b7d0bd3d569879fd93deefd9be2e2fe898f29cf63f3dfad220b07040e69

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page