Image Generation API: Create and Edit Images in NexLLM

NexLLM’s image endpoints let you generate brand-new images from natural language descriptions and edit or modify existing images. Both endpoints are OpenAI-compatible, so any code written for the DALL·E API works directly with NexLLM by changing only the base URL.

Endpoints

Endpoint	Path	Description
Image Generation	`POST /v1/images/generations`	Generate new images from a text prompt
Image Editing	`POST /v1/images/edits`	Edit or modify an existing image

Image Generation Parameters

string

required

The image generation model to use. Example: dall-e-3, dall-e-2. For Imagen models on Vertex AI, ensure your API key is assigned to a group that includes them (see the note below).

string

required

A text description of the image you want to generate. More detailed prompts generally produce better results. Maximum length varies by model.

integer

The number of images to generate. Defaults to 1. dall-e-3 supports only n=1; dall-e-2 supports up to 10.

string

The resolution of the generated image. Supported values depend on the model. Common options: 256x256, 512x512, 1024x1024, 1792x1024, 1024x1792. Defaults to 1024x1024.

Code Example

from openai import OpenAI

client = OpenAI(
    api_key="sk-xxxxxxxxxxxxxxxx",
    base_url="https://www.nexllm.ai/v1"
)

response = client.images.generate(
    model="dall-e-3",
    prompt="A futuristic cityscape at sunset",
    n=1,
    size="1024x1024"
)

print(response.data[0].url)

Image Editing Example

To edit an existing image, send a POST request to /v1/images/edits with the original image file and a prompt describing the change you want:

from openai import OpenAI

client = OpenAI(
    api_key="sk-xxxxxxxxxxxxxxxx",
    base_url="https://www.nexllm.ai/v1"
)

with open("original.png", "rb") as image_file:
    response = client.images.edit(
        model="dall-e-2",
        image=image_file,
        prompt="Add a rainbow in the sky",
        n=1,
        size="1024x1024"
    )

print(response.data[0].url)

To access Imagen models (Google’s image generation models on Vertex AI), your API key must be assigned to a channel group that includes them — for example, the gemini-vertex group. Check the channel groups overview to confirm which models are available under your key.

​Endpoints

​Image Generation Parameters

​Code Example

​Image Editing Example

Endpoints

Image Generation Parameters

Code Example

Image Editing Example