flux-pro/v1.1
Model Overview
flux-pro/v1.1
is a new image generation model with inference speed increased sixfold compared to the previous flux-pro
. It also features enhanced generation quality and greater accuracy in following prompts.
flux-pro/v1.1
Format: JPEG, PNG Min size: 256x256 Max size: 1440x1440 Default size: 1024x768 For both height and width, the value must be a multiple of 32.
Setup your API Key
If you don’t have an API key for the AI/ML API yet, feel free to use our Quickstart guide.
API Schema
landscape_4_3
The size of the generated image
The safety tolerance level for the generated image. 1 being the most strict and 5 being the most permissive
2
Possible values: The format of the generated image
jpeg
Possible values: The prompt to generate an image from
The number of images to generate
1
The same seed and the same prompt given to the same version of the model will output the same image every time
If set to true, the safety checker will be enabled
true
POST /v1/images/generations HTTP/1.1
Host: api.aimlapi.com
Authorization: Bearer <YOUR_AIMLAPI_KEY>
Content-Type: application/json
Accept: */*
Content-Length: 169
{
"model": "flux-pro/v1.1",
"image_size": "landscape_4_3",
"safety_tolerance": "2",
"output_format": "jpeg",
"prompt": "text",
"num_images": 1,
"seed": 1,
"enable_safety_checker": true
}
No content
Quick Example
Let's generate an image of the specified size using a simple prompt.
The maximum value for both width and height is 1440
, and the minimum is 256
.
The value must be a multiple of 32.
import requests
def main():
response = requests.post(
"https://api.aimlapi.com/v1/images/generations",
headers={
# Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>:
"Authorization": "Bearer <YOUR_AIMLAPI_KEY>",
"Content-Type": "application/json",
},
json={
"prompt": "Rabbit singing",
"model": "flux-pro/v1.1",
'image_size': {
"width": 1024,
"height": 320
}
}
)
response.raise_for_status()
data = response.json()
print("Generation:", data)
if __name__ == "__main__":
main()
We obtained the following 1024x320 image (JPEG) by running this code example:

"Rabbit singing"
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