lexica-api 1.3.5

The python package for api.qewertyy.me

Available Models

from lexica import Client

def main() -> dict:
    client = Client()
    response = client.getModels()
    return response

if __name__ == "__main__":
    print(main())

output

{
  "text": [
    {
      "id": 0,
      "name": "models/text-bison-001",
      "baseModel": "PaLM"
    }
  ],
  "chat": [
    {
      "id": 1,
      "name": "models/chat-bison-001",
      "baseModel": "PaLM"
    },
    {
      "id": 5,
      "name": "gpt-3.5-turbo",
      "baseModel": "GPT"
    }
  ],
  "image": [
    {
      "id": 2,
      "name": "MeinaMix",
      "baseModel": "SD"
    },
    {
      "id": 3,
      "name": "AnyLora",
      "baseModel": "SD"
    },
    {
      "id": 4,
      "name": "AnyThingV4",
      "baseModel": "SD"
    },
    {
      "id": 6,
      "name": "Bing",
      "baseModel": "Dall-E"
    },
    {
      "id": 7,
      "name": "DarkSushi",
      "baseModel": "SD"
    },
    {
      "id": 8,
      "name": "MeinaHentai",
      "baseModel": "SD"
    },
    {
      "id": 9,
      "name": "DarkSushiMix",
      "baseModel": "SD"
    }
  ]
}

palm

from lexica import Client

def main(prompt: str) -> dict:
    client = Client()
    response = client.palm(prompt)
    return response

if __name__ == "__main__":
    print(main("hello world"))

upscaling an image.

from lexica import Client

def main(image: bytes) -> bytes:
    client = Client()
    imageBytes = client.upscale(image)
    with open('upscaled.png', 'wb') as f:
        f.write(imageBytes)

if __name__ == "__main__":
    image = open('examples/images/image.png', 'rb').read()
    main(image)