Seedream v4 (Text-to-Image)
Model Overview
Ultra-fast, consistent in character rendering, and matching Gemini 2.5 Flash Image (Nano Banana) in quality.
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
The size of the generated image.
square_hd
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 function will wait for the image to be generated and uploaded before returning the response. This will increase the latency of the function but it allows you to get the image directly in the response without going through the CDN.
false
If set to True, the safety checker will be enabled.
true
The text prompt describing the content, style, or composition of the image to be generated.
The number of images to generate.
1
Successfully generated image
async function main() {
const response = await fetch('https://api.aimlapi.com/v1/images/generations', {
method: 'POST',
headers: {
'Authorization': 'Bearer <YOUR_AIMLAPI_KEY>',
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: 'bytedance/seedream-v4-text-to-image',
prompt: 'A T-Rex relaxing on a beach, lying on a sun lounger and wearing sunglasses.',
}),
});
const data = await response.json();
console.log(JSON.stringify(data, null, 2));
}
main();
Successfully generated image
{
"data": [
{
"url": "text",
"b64_json": "text"
}
]
}
Quick Example
Let's generate an image of the specified size using a simple prompt.
import requests
import json # for getting a structured output with indentation
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={
"model": "bytedance/seedream-v4-text-to-image",
"prompt": "A T-Rex relaxing on a beach, lying on a sun lounger and wearing sunglasses.",
"image_size": {
"width": 4096,
"height": 4096
},
}
)
data = response.json()
print(json.dumps(data, indent=2, ensure_ascii=False))
if __name__ == "__main__":
main()
We obtained the following 4096x4096 image by running this code example:

"A T-Rex relaxing on a beach, lying on a sun lounger and wearing sunglasses."
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