Image Generation Models

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Visualizing Ideas with Friendli: A Guide to Image Generation

Friendli provides powerful Image Generation capabilities, allowing users to transform text prompts into high-quality visuals with ease. This guide explores how to generate images using Friendli Dedicated Endpoints, including code examples to help you make the most of these powerful tools.

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Model Supports

We supports Flux Dev and Flux Schnell models. Also their fine-tuned and quantized models are supported, and adapters are available as well.

For a detailed list of models, refer to the models page in our website.

• Flux Dev
• Flux Schnell

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API Usage

For full API specifications, refer to:

• Dedicated API Reference
• Container API Reference

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Examples

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.friendli.ai/dedicated/v1",
    api_key=os.environ.get("FRIENDLI_TOKEN"),
)

images = client.images.generate(
    # Replace YOUR_ENDPOINT_ID with the ID of your endpoint, e.g. "zbimjgovmlcb"
    model="YOUR_ENDPOINT_ID",
    prompt="An orange Lamborghini driving down a hill road at night with a beautiful ocean view in the background.",
    extra_body={
        "num_inference_steps": 10,
        "guidance_scale": 3.5
    }
)

print(images.data[0].url)