Text to Image
Create AI images from text prompts
OpenAI/chatgpt-images-2.5-client
chatgpt-images-2.5-clientPreview
Generate images with OpenAI ChatGPT Images 2.5 Client API. Flexible aspect ratios and affordable access for product visuals, ads, and creative team workflows.
This model is currently in preview and may be less stable than standard versions.
Text to Image
Related Chatgpt Images 2.5 Models
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ChatGPT Images 2.5 Client Pricing
| Parameters | Price | Original Price | Discount |
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Examples
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Fast & Affordable ChatGPT Images 2.5 Client API (OpenAI Text-to-Image Generation)
ChatGPT Images 2.5 Client API provides very affordable, prompt-based image generation for developers and creative teams on Flaq AI. It turns written briefs into product imagery, campaign concepts, editorial illustrations, and structured visual compositions. The Client route offers the same core generation workflow for budget-conscious teams and scalable creative applications.
Key Features of ChatGPT Images 2.5 Client API
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Detailed Image Generation: Create polished images with natural lighting, realistic textures, and clearly rendered subjects across photographic, illustrative, and graphic styles.
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Complex Prompt Understanding: Guide subject relationships, composition, and visual hierarchy through a detailed natural-language brief.
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Stronger Style Control: Define medium, mood, color, lighting, and composition to maintain a clear visual direction across creative concepts.
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Structured Visual Layouts: Build posters, presentation graphics, product concepts, and other images that depend on an organized arrangement of visual elements.
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Creative Iteration: Refine ideas by adjusting the prompt and developing alternative settings, palettes, and compositions.
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Application Integration: Add image generation to publishing tools, design workflows, and content production systems through the ChatGPT Images 2.5 Client route on Flaq AI.
How to Use ChatGPT Images 2.5 Client API for Image Generation on Flaq AI
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Input: Write a natural-language prompt describing the subject, setting, composition, lighting, style, and any important visual details.
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Output: Receive a generated image based on the creative instructions in the prompt.
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Creative Direction: Include clear requirements for layout, color, atmosphere, and subject placement when the result needs to follow a defined visual system.
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Capabilities: Text-to-image generation, prompt-directed styling, complex scene composition, and layout-aware visual creation through ChatGPT Images 2.5 Client API integration.
Best Use Cases for ChatGPT Images 2.5 Client API Integration
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Marketing Creative: Produce campaign concepts, launch visuals, advertising artwork, and landing-page imagery from a structured brief.
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E-commerce Imagery: Create product concepts, lifestyle settings, seasonal scenes, and promotional compositions for online storefronts.
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Social Media Content: Develop thumbnails, post illustrations, and campaign visuals with a clear subject and visual hierarchy.
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Editorial & Presentation Graphics: Turn an article, report, or presentation brief into composed illustrations and supporting visuals.
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Creative Product Features: Add image generation to design assistants, publishing platforms, and applications built around the Client integration route.
Note: Keep prompts consistent with applicable content and safety requirements. If generation fails, revise the request and try again.
ChatGPT Images 2.5 Client vs Competitors: Comparative Analysis
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ChatGPT Images 2.5 Client vs. GPT Image 2
GPT Image 2 is an established OpenAI model for image generation and editing. ChatGPT Images 2.5 Client emphasizes detailed prompts, natural visual treatment, and structured compositions through its Flaq AI integration route. -
ChatGPT Images 2.5 Client vs. Nano Banana 2
Nano Banana 2 provides image generation within the Gemini ecosystem. ChatGPT Images 2.5 Client offers an OpenAI-centered workflow for style-directed creation and coherent visual layouts. -
ChatGPT Images 2.5 Client vs. Nano Banana Pro
Nano Banana Pro targets detailed visual generation and editing within the Gemini model family. ChatGPT Images 2.5 Client focuses on translating natural-language creative briefs into polished images for application workflows. -
ChatGPT Images 2.5 Client vs. FLUX.2
FLUX.2 supports generation and reference-led creative workflows. ChatGPT Images 2.5 Client serves prompt-driven image creation, while the corresponding Edit Client route supports workflows that begin with source imagery. -
ChatGPT Images 2.5 Client vs. Qwen Image 2.0
Qwen Image 2.0 combines image generation and editing with support for typography-rich compositions. ChatGPT Images 2.5 Client is positioned around detailed instructions, coherent layouts, and polished visual output.
Use the ChatGPT Images 2.5 Client Model Directly in Powerful AI Tools
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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API Examples
Submit Example
// 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: 'chatgpt-images-2.5-client',
prompt: 'A minimalist product shot of a ceramic mug on marble, soft studio light',
width: 1,
height: 1,
resolution: '1k'
})
});
const { data } = await response.json();
const taskId = data.task_id;
Polling Example
// 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));
}
Submit Example
# 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': 'chatgpt-images-2.5-client',
'prompt': 'A minimalist product shot of a ceramic mug on marble, soft studio light',
'width': 1,
'height': 1,
'resolution': '1k'
}
)
task_id = response.json()['data']['task_id']
Polling Example
# 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)
Submit Example
# 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": "chatgpt-images-2.5-client",
"prompt": "A minimalist product shot of a ceramic mug on marble, soft studio light",
"width": 1,
"height": 1,
"resolution": "1k"
}'
Polling Example
# 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"