
Text to Image
Create AI images from text prompts
Cost-effective 4K image editing via Seedream 4.5 API. Optimized for high-concurrency stability while maintaining texture consistency at an affordable rate. Built for free testing and stable API workflows.
Try the AI Image Generator now
| Parameters | Price | Original Price | Discount |
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ByteDance Seedream 4.5 Edit API (powered by the Seedream 4.5 model) delivers cost-effective, production-grade AI image editing for developers and creative teams. This premium 4K image editing API integration helps you transform existing visuals into professional outputs through natural-language instructions. The Seedream model provides semantic reasoning for complex edits, while the API provides stable integration for scalable workflows on Flaq AI.
Note Please ensure your prompts comply with safety guidelines. If an error occurs, review your prompt for restricted content, adjust it, and try again.
Seedream 4.5 Edit vs. FLUX.1 [dev]
FLUX.1 [dev] focuses on detail-heavy technical generation workflows. Seedream 4.5 Edit API emphasizes semantic, instruction-driven editing with layout-aware changes and multi-image batch processing, making it stronger for practical production editing scenarios using affordable ByteDance integration.
Seedream 4.5 Edit vs. GPT-Image-1 (OpenAI)
GPT-Image-1 is a broad creative image model with wide stylistic range. Seedream 4.5 Edit API is optimized for targeted edits, multilingual typography handling, and predictable output control for professional teams through cost-effective API integration.
Seedream 4.5 Edit vs. Seedream Base
Base Seedream is optimized for rapid, lightweight iterations. Seedream 4.5 Edit prioritizes premium-quality editing with better reasoning, sharper text rendering, and stronger consistency across complex multi-step edits with support for up to 10 simultaneous images.
Seedream 4.5 Edit vs. Nano Banana Pro Edit
Nano Banana Pro Edit leverages Gemini's semantic reasoning for highly specific, logic-based transformations. Seedream 4.5 Edit API is specifically tuned for reliable typography, photo-real edits, and mixed media layouts with superior multi-image batch processing capabilities.
Seedream 4.5 Edit vs. Qwen Image 2509
Qwen Image performs well in open-source and document-style contexts. Seedream 4.5 Edit API differentiates with high-fidelity 4K editing quality, robust multilingual design control, and advanced multi-image editing support for global content operations through ByteDance API integration.
Explore several AI creation tools for quick image and video workflows in your browser, then scale successful ideas with Flaq AI's production-ready model APIs. Flaq AI provides a unified API layer for all models, making it easy to use and scale your workflows.

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// 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: 'seedream-v4.5-edit',
prompt: 'Add cherry blossoms falling in the background',
width: 16,
height: 9,
resolution: '2k',
image_url_list: ['https://example.com/image1.jpg']
})
});
const { data } = await response.json();
const taskId = data.task_id;
// 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
response = requests.post(
'https://api.flaq.ai/api/v1/image/task',
headers={
'Content-Type': 'application/json',
'Authorization': 'Bearer YOUR_API_KEY'
},
json={
'model_name': 'seedream-v4.5-edit',
'prompt': 'Add cherry blossoms falling in the background',
'width': 16,
'height': 9,
'resolution': '2k',
'image_url_list': ['https://example.com/image1.jpg']
}
)
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": "seedream-v4.5-edit",
"prompt": "Add cherry blossoms falling in the background",
"width": 16,
"height": 9,
"resolution": "2k",
"image_url_list": ["https://example.com/image1.jpg"]
}'
# 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"