Hunyuan Image V3
Model Overview
An advanced capabilities of Hunyuan Image 3.0 to generate compelling visuals that seamlessly enhance and communicate your written content.
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 description of elements to avoid in the generated image.
""The size of the generated image.
square_hdThe number of inference steps to perform.
28The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you.
7.5If set to True, the safety checker will be enabled.
trueIf 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.
falseThe format of the generated image.
pngPossible values: If set to True, prompt will be upsampled with more details.
The text prompt describing the content, style, or composition of the image to be generated.
The number of images to generate.
1The same seed and the same prompt given to the same version of the model will output the same image every time.
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: 'hunyuan/hunyuan-image-v3-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 using a simple prompt.
import requests
import json
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": "A T-Rex relaxing on a beach, lying on a sun lounger and wearing sunglasses.",
"model": "hunyuan/hunyuan-image-v3-text-to-image",
"image_size": "landscape_16_9"
}
)
data = response.json()
print(json.dumps(data, indent=2, ensure_ascii=False))
if __name__ == "__main__":
main()async function main() {
const response = await fetch('https://api.aimlapi.com/v1/images/generations', {
method: 'POST',
headers: {
// Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>:
'Authorization': 'Bearer <YOUR_AIMLAPI_KEY>',
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: 'hunyuan/hunyuan-image-v3-text-to-image',
prompt: 'A T-Rex relaxing on a beach, lying on a sun lounger and wearing sunglasses. Realistic photo.',
image_size: 'landscape_16_9'
}),
});
const data = await response.json();
console.log(data);
}
main();We obtained the following 1280x768 image by running this code example:

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