
Text to Image
Create AI images from text prompts
Create product photography, illustrated scenes, and transparent graphics with the ByteDance Seedream 5.5 API. Turn a creative brief into images on Best Image AI.
Try the AI Image Generator now
Seedream 5.5 API brings ByteDance's text-to-image model to Best Image AI for creating photographic visuals, text-rich designs, and reusable transparent assets. Describe your creative brief, choose the output proportions and resolution, and generate a PNG for your design workflow. Seedream 5.5 combines natural lighting and material rendering with native transparency, making it useful for both complete scenes and individual graphic elements.
Note Use prompts that comply with ByteDance's safety guidelines. If a request fails, check the inputs and returned error before retrying.
Seedream 5.5 vs. Seedream 5.0 Pro
Seedream 5.5 improves realism and text rendering over Seedream 5.0 Pro and adds native RGBA generation. It supports workflows that combine photographic visuals, text-rich layouts, and reusable transparent assets.
Seedream 5.5 vs. ChatGPT Images 2.5 Flare
On Best Image AI, ChatGPT Images 2.5 Flare offers separate quality settings alongside resolution controls. Seedream 5.5 provides background selection with PNG output. Choose based on the controls your application needs and compare results using representative prompts.
Explore several AI creation tools for quick image and video workflows in your browser, then scale successful ideas with Best Image AI's production-ready model APIs. Best Image AI provides a unified API layer for all models, making it easy to use and scale your workflows.

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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-v5.5',
prompt: 'Editorial fashion portrait, soft window light, muted palette',
resolution: '1.5k',
width: 16,
height: 9,
background: 'auto'
})
});
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);
;
}
(status === ) {
.(pollResultData..);
;
}
( (resolve, ));
}
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-v5.5',
'prompt': 'Editorial fashion portrait, soft window light, muted palette',
'resolution': '1.5k',
'width': 16,
'height': 9,
'background': 'auto'
}
)
task_id = response.json()['data']['task_id']
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-v5.5",
"prompt": "Editorial fashion portrait, soft window light, muted palette",
"resolution": "1.5k",
"width": 16,
"height": 9,
"background": "auto"
}'
# 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"
# 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)