Tạo hình ảnh độ chính xác cao bằng OpenAI GPT Image 2 API. Bám sát prompt tốt, hiển thị chữ rõ ràng, kiểm soát chất lượng linh hoạt và đầu ra ổn định.
Thử ngay AI tạo ảnh
GPT Image 2 API cua OpenAI mang den kha nang tao anh AI chat luong cao va tiet kiem chi phi cho cac nha phat trien va doi ngu sang tao. Tich hop API tao anh tu van ban chuyen nghiep nay giup ban bien cac prompt ngon ngu tu nhien thanh hinh anh hoan chinh, voi kha nang bam sat chi dan tot, kiem soat chat luong linh hoat va do on dinh dau ra dang tin cay. Duoc xay dung tren nen tang tao anh GPT moi nhat cua OpenAI, GPT Image 2 ket hop kha nang hieu prompt theo ngu nghia voi tich hop API san sang cho moi truong san xuat, phu hop cho cac quy trinh sang tao co the mo rong tren Best Image AI.
Note Vui long dam bao prompt cua ban tuan thu cac chinh sach su dung cua OpenAI. Neu xay ra loi, hay kiem tra prompt xem co noi dung bi han che hay khong, dieu chinh lai va thu lai.
GPT Image 2 vs. GPT Image 2 Client
GPT Image 2 Client cung cap cung nhung kha nang cot loi ve tao anh tu van ban voi mot cach tiep can rat tiet kiem cho cac doi ngu toi uu theo hieu qua chi phi. GPT Image 2 van duy tri kha nang bam sat prompt manh me, hien thi chu tot va phu hop voi quy trinh san xuat, vi vay ca hai bien the deu phu hop cho cac ung dung sang tao chuyen nghiep tuy theo uu tien ngan sach.
GPT Image 2 vs. Runway Gen-4 Image
Runway Gen-4 Image nhan manh tinh dien anh va cac quy trinh sang tao co su tham chieu. GPT Image 2 API noi bat nhờ kha nang hien thi chu tot, bam sat huong dan dang tin cay va tich hop API gon gang cho san xuat anh tu van ban co the mo rong.
GPT Image 2 vs. Stable Diffusion 3.5
Stable Diffusion 3.5 mang lai su linh hoat cua mo hinh mo va co hoi tuy bien. GPT Image 2 cung cap tich hop API it phuc tap, kha nang bam sat prompt tot hon ngay tu dau va giam ganh nang van hanh cho cac doi ngu muon trien khai tao anh san sang cho san xuat ngay lap tuc.
GPT Image 2 vs. Qwen Image 2.0
Qwen Image 2.0 la mot mo hinh tao anh manh, huong den gia tri va co uu the da ngon ngu. GPT Image 2 API noi bat voi kha nang bam sat huong dan chau chuot cua OpenAI, hien thi van ban trong anh dang tin cay va quy trinh chuyen nghiep tinh gon danh cho cac doi ngu sang tao toan cau.
GPT Image 2 vs. Seedream 5.0
Seedream 5.0 vuot troi ve do chan thuc cao cap va chi tiet thi giac cao cap. GPT Image 2 mang lai kha nang dieu khien prompt manh, xu ly typography gon gang va tich hop dua tren API hieu qua cho viec ung dung thuc te trong nhieu quy trinh sang tao.
// 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: 'gpt-image-2',
prompt: 'A minimalist product shot of a ceramic mug on marble, soft studio light',
width: 1,
height: 1,
resolution: '1k',
quality: 'medium'
})
});
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[].);
;
}
(status === ) {
.(pollResultData..);
;
}
( (resolve, ));
}
# 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': 'gpt-image-2',
'prompt': 'A minimalist product shot of a ceramic mug on marble, soft studio light',
'width': 1,
'height': 1,
'resolution': '1k',
'quality': 'medium'
}
)
task_id = response.json()['data']['task_id']
# 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": "gpt-image-2",
"prompt": "A minimalist product shot of a ceramic mug on marble, soft studio light",
"width": 1,
"height": 1,
"resolution": "1k",
"quality": "medium"
}'
# 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)