Image Generation

A typical scenario is text-to-image generation, where a user provides a prompt that the image model interprets to produce an image.

You can find the vision models guide here.

Text-to-Image Generation

Gegentic allows you to make text-to-image requests using the OpenAI-compatible API signature.

Python SDK
OpenAI Python
cURL

from obiguard import Obiguard

client = Obiguard(
  provider='openai',
  base_url='https://gateway.obiguard.ai/v1',
  obiguard_api_key='vk-obg***',  # Your Obiguard virtual key here
)

response = client.images.generate(
  prompt="A beautiful sunset over the mountains",
  n=1,
  size="1024x1024"
)

from openai import OpenAI
from obiguard import createHeaders

client = OpenAI(
  base_url='https://gateway.obiguard.ai/v1',
  api_key='sk-***',  # Your OpenAI API key here
  default_headers=createHeaders(
    provider="openai",
    api_key="vk-obg***",  # Your Obiguard virtual key here
  )
)

response = client.images.generate(
  prompt="A beautiful sunset over the mountains",
  n=1,
  size="1024x1024"
)

curl "https://gateway.obiguard.ai/v1/images/generations" \
-H "Content-Type: application/json" \
-H "x-obiguard-api-key: $OBIGUARD_VIRTUAL_KEY" \
-d '{
  "model": "dall-e-3",
  "prompt": "Lucy in the sky with diamonds"
}'

Introduction

Features

Support

Text-to-Image Generation

Introduction

Features

Support

​Text-to-Image Generation

Text-to-Image Generation