Build Smarter Agents with Nemotron 3 Nano Omni on FriendliAI — Explore models
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Model APIs
Dedicated
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Dataset & File
BetaFriendli SDK
curl --request POST \
--url http://localhost:8000/v1/images/generations \
--header 'Content-Type: application/json' \
--data '
{
"prompt": "An orange Lamborghini driving down a hill road at night with a beautiful ocean view in the background."
}
'{
"image": "<base64 encoded image>"
}Container image generations
Generate images from text descriptions using Friendli Container. Run image generation models locally with configurable size and output parameters.
curl --request POST \
--url http://localhost:8000/v1/images/generations \
--header 'Content-Type: application/json' \
--data '
{
"prompt": "An orange Lamborghini driving down a hill road at night with a beautiful ocean view in the background."
}
'{
"image": "<base64 encoded image>"
}Given a description, the model generates image.Documentation Index
Fetch the complete documentation index at: https://friendli.ai/docs/llms.txt
Use this file to discover all available pages before exploring further.
Body
A text description of the desired image.
Routes the request to a specific adapter.
"(adapter-route)"
The number of inference steps to use during image generation. Defaults to 20. Supported range: [1, 50].
Adjusts the alignment of the generated image with the input prompt. Higher values (e.g., 8-10) make the output more faithful to the prompt, while lower values (e.g., 1-5) encourage more creative freedom. Defaults to 0. This parameter may be irrelevant for certain models, such as FLUX.Schnell.
The seed to use for image generation.
The format in which the generated image will be returned. One of raw and jpeg.
raw, jpeg Optional input images used to condition or guide the generation process (e.g., for ControlNet or image editing models). This field is only applicable when using ControlNet or image editing models.
Hide child attributes
Hide child attributes
An input image, provided either as a URL or a base64-encoded string. Maximum supported image size is 50 MiB.
"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png"
"data:image/png;base64,..."
A list of weights that determine the influence of each ControlNet model in the generation process. Each value must be within [0, 1], where 0 disables the corresponding ControlNet and 1 applies it fully. When multiple ControlNet models are used, the list length must match the number of control images. If omitted, all ControlNet models default to full influence (1.0). This field is only applicable when using ControlNet models.
Response
Successfully generated image.
The base64-encoded image.