Transform images with Flux Kontext Max API by Black Forest Labs. Get high-fidelity edits, strong prompt adherence, and stable results.
Try the AI Image Generator now
Flux Kontext Max API delivers professional-grade AI image generation with superior multi-image context understanding for developers. This advanced Flux API integration enables you to transform complex creative visions into exceptional reality through intuitive text-to-image and image-to-image generation. Built on cutting-edge context-aware technology, it combines deep semantic reasoning with enhanced quality controls and stable performance for professional-grade output at $0.08 per image.
// Step 1: Submit generation request
const response = await fetch('https://api.flaq.ai/api/v1/image/task', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': 'Bearer YOUR_API_KEY'
},
body: JSON.stringify({
model_name: 'flux-kontext-max',
prompt: 'A beautiful sunset over mountains',
image_url_list: ['https://example.com/image1.jpg', 'https://example.com/image2.jpg'], // Optional: 1-5 reference images
width: 16,
height: 9
})
});
const { data } = await response.json();
taskId = data.;
Note Please ensure your prompts comply with content safety guidelines. If an error occurs, review your prompt for restricted content, adjust it, and try again.
Flux Kontext Max vs. Flux Kontext Pro While Flux Kontext Pro emphasizes cost-effective professional generation at $0.04, Flux Kontext Max focuses on enhanced quality and detail for demanding workflows. Powered by advanced context understanding, it delivers exceptional quality with stable performance ideal for commercial projects requiring consistent high standards.
Flux Kontext Max vs. FLUX.1 [pro] FLUX.1 [pro] provides strong professional-grade generation capabilities. In contrast, Flux Kontext Max enhances this foundation with advanced multi-image context processing and enhanced quality controls, making it the superior choice for production-grade workflows requiring sophisticated reference image integration with reliable performance.
Flux Kontext Max vs. Google Nano Banana Pro Google Nano Banana Pro excels at semantic understanding, multilingual text rendering, and 4K output. Flux Kontext Max distinguishes itself by focusing on advanced multi-image context awareness, photorealistic generation, and enhanced detail quality, making it ideal for projects requiring multiple reference images through stable API integration.
Flux Kontext Max vs. Midjourney Midjourney shines as a general-purpose creative generator with broad artistic style variety. In contrast, Flux Kontext Max emphasizes precise multi-image context processing, photorealistic output, and tightly directed professional generation, making it the superior choice for production-grade commercial design and marketing with consistent quality.
Flux Kontext Max vs. Stable Diffusion XL Stable Diffusion XL is a strong contender in open-source ecosystems with broad style variety. Flux Kontext Max distinguishes itself by focusing on advanced multi-image context understanding, enhanced image quality, and sophisticated reference image processing for professional productions through production-grade API integration with reliable uptime.
// Step 2: Poll for results
const taskId = data.task_id;
const pollResult = async (taskId) => {
const res = await fetch(`https://api.flaq.ai/api/v1/image/${taskId}`, {
headers: { 'Authorization': 'Bearer YOUR_API_KEY' }
});
return res.json();
};
while (true) {
const pollResultData = await pollResult(taskId);
const status = pollResultData.data.task_status;
if (status === 'succeed') {
console.log(pollResultData.data.task_result.images[0].url);
break;
}
if (status === 'failed') {
console.error(pollResultData.data.task_status_msg);
break;
}
await new Promise(resolve => setTimeout(resolve, 10000));
}
# Step 1: Submit generation request
import requests
import time
response = requests.post(
'https://api.flaq.ai/api/v1/image/task',
headers={
'Content-Type': 'application/json',
'Authorization': 'Bearer YOUR_API_KEY'
},
json={
'model_name': 'flux-kontext-max',
'prompt': 'A beautiful sunset over mountains',
'image_url_list': ['https://example.com/image1.jpg', 'https://example.com/image2.jpg'], # Optional: 1-5 reference images
'width': 16,
'height': 9
}
)
result = response.json()
task_id = result['data']['task_id']
# Step 2: Poll for results
task_id = response.json()['data']['task_id']
poll_url = f"https://api.flaq.ai/api/v1/image/{task_id}"
while True:
poll_result = requests.get(poll_url, headers={'Authorization': 'Bearer YOUR_API_KEY'}).json()
status = poll_result['data']['task_status']
if status == 'succeed':
print(poll_result['data']['task_result']['images'][0]['url'])
break
if status == 'failed':
print(poll_result['data']['task_status_msg'])
break
time.sleep(10)
# Step 1: Submit generation request
curl -X POST https://api.flaq.ai/api/v1/image/task \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model_name": "flux-kontext-max",
"prompt": "A beautiful sunset over mountains",
"image_url_list": ["https://example.com/image1.jpg", "https://example.com/image2.jpg"],
"width": 16,
"height": 9
}'
# Response: {"code":0,"data":{"task_id":"abc123","task_status":"submitted","response_url":"https://api.flaq.ai/api/v1/image/abc123"},"message":"success"}
# Step 2: Poll for results
# Replace {task_id} with the task_id returned from the submit response
curl -X GET "https://api.flaq.ai/api/v1/image/{task_id}" \
-H "Authorization: Bearer YOUR_API_KEY"