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POST
/
inference
/
v1
/
workflows
/
accounts
/
fireworks
/
models
/
{model}
import requests

url = "https://api.fireworks.ai/inference/v1/workflows/accounts/fireworks/models/{model}"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $API_KEY",
}
data = {
    "prompt": "A beautiful sunset over the ocean",
    "input_image": "<string>",
    "seed": 42,
    "aspect_ratio": "<string>",
    "output_format": "jpeg",
    "webhook_url": "<string>",
    "webhook_secret": "<string>",
    "prompt_upsampling": False,
    "safety_tolerance": 2
}

response = requests.post(url, headers=headers, json=data)

Documentation Index

Fetch the complete documentation index at: https://fireworks.ai/docs/llms.txt

Use this file to discover all available pages before exploring further.

💡 Note that this API is async and will return the request_id instead of the image. Call the get_result API to obtain the generated image.
FLUX Kontext Pro is a specialized model for generating contextually-aware images from text descriptions. Designed for professional use cases requiring high-quality, consistent image generation.Use our Playground to quickly try it out in your browser.

​
Path

​
model
string
required
The model to use for image generation. Use flux-kontext-pro or flux-kontext-max as the model name in the API.

​
Headers

​
Content-Type
string
The media type of the request body.
​
Authorization
string
required
Your Fireworks API key.

​
Request Body

​
prompt
string
required
Prompt to use for the image generation process.
​
input_image
string | null
Base64 encoded image or URL to use with Kontext.
​
seed
integer | null
Optional seed for reproducibility.
​
aspect_ratio
string | null
Aspect ratio of the image between 21:9 and 9:21.
​
output_format
string
Output format for the generated image. Can be ‘jpeg’ or ‘png’.Options: jpeg, png
​
webhook_url
string | null
URL to receive webhook notifications.Length: 1-2083 characters
​
webhook_secret
string | null
Optional secret for webhook signature verification.
​
prompt_upsampling
boolean
Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation.
​
safety_tolerance
integer
Tolerance level for input and output moderation. Between 0 and 6, 0 being most strict, 6 being least strict. Limit of 2 for Image to Image.Range: 0-6
import requests

url = "https://api.fireworks.ai/inference/v1/workflows/accounts/fireworks/models/{model}"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $API_KEY",
}
data = {
    "prompt": "A beautiful sunset over the ocean",
    "input_image": "<string>",
    "seed": 42,
    "aspect_ratio": "<string>",
    "output_format": "jpeg",
    "webhook_url": "<string>",
    "webhook_secret": "<string>",
    "prompt_upsampling": False,
    "safety_tolerance": 2
}

response = requests.post(url, headers=headers, json=data)

​
Response

Successful Response
​
request_id
string
request id