Alibaba/z-image
z-image
Free to try Z Image API for Alibaba text-to-image generation, polished visual concepts, product images, and scalable creative production workflows.
Text to Image
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Z Image Pricing
| Parameters | Price | Original Price | Discount |
|---|
Examples
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Fast & Affordable Z Image API (Alibaba Image Generation)
Z Image API on Flaq AI provides affordable Alibaba image generation for developers and creative teams building visual content, product imagery, social assets, and design automation. This Z Image API integration turns natural-language prompts into polished images through a stable managed route. It is designed for teams that need practical text-to-image generation for high-volume creative production without managing model infrastructure.
Key Features of Z Image API
- Text-to-Image Generation: Create images from natural-language prompts for marketing, product design, editorial content, and creative workflows.
- Affordable API Integration: Use Z Image for cost-effective visual generation through a stable Flaq AI route.
- Flexible Style Control: Guide photorealistic, illustrative, cinematic, commercial, and social-ready visual styles through prompt direction.
- Prompt-Based Composition: Describe subjects, background, lighting, camera angle, mood, and visual details for controlled creative output.
- Production-Ready Visual Workflows: Generate assets for campaigns, thumbnails, ecommerce, blogs, and internal creative tooling.
- Developer-Friendly Access: Add Alibaba image generation to apps, automation systems, and backend services without custom model hosting.
How to Use Z Image API for Image Generation on Flaq AI
- Input: Natural-language prompts with subject, style, composition, lighting, and output guidance.
- Output: Generated images delivered through Z Image API integration for download, display, or downstream creative workflows.
- Aspect Ratios: Supports flexible image layouts suitable for social media, web, product, and marketing use cases.
- Capabilities: Text-to-image generation, style exploration, product visuals, campaign assets, social graphics, and scalable creative automation through Z Image API access.
Best Use Cases for Z Image API Integration
- Marketing Visuals: Generate ad concepts, campaign graphics, thumbnails, and social media assets with fast creative iteration.
- Product & E-commerce Imagery: Create lifestyle scenes, promotional visuals, and product presentation concepts for online stores.
- Editorial & Blog Content: Produce header images, article visuals, and supporting graphics for content teams.
- Design Prototyping: Explore visual directions, moodboards, compositions, and brand concepts before final production.
- Creative Automation: Build tools that generate personalized images, bulk variants, and prompt-driven visual assets at scale.
Note Please ensure prompts comply with Alibaba and Flaq AI safety requirements. If an error occurs, revise the prompt, remove restricted content, and try again.
Z Image vs Competitors: Comparative Analysis
- Z Image vs. Qwen Image 2
Qwen Image 2 is a strong Alibaba image model with broad prompt-following capability. Z Image provides another affordable Alibaba image generation route for production creative workflows. - Z Image vs. GPT Image
GPT Image models offer broad creative generation and editing. Z Image focuses on cost-effective text-to-image workflows through Flaq AI's managed API access. - Z Image vs. Nano Banana
Nano Banana provides Gemini-powered image generation and editing workflows. Z Image gives teams an Alibaba-powered alternative for scalable visual creation. - Z Image vs. Seedream
Seedream is strong for commercial and stylized visuals. Z Image is useful for affordable prompt-based image generation across marketing, ecommerce, and social content. - Z Image vs. Stable Diffusion XL
Stable Diffusion XL offers open-source customization with infrastructure overhead. Z Image API provides managed access for teams that want simpler integration and stable production delivery.
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: 'z-image',
prompt: 'A cinematic portrait of a traveler standing on a cliff at golden hour',
width: 16,
height: 9,
seed: 0
})
});
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': 'z-image',
'prompt': 'A cinematic portrait of a traveler standing on a cliff at golden hour',
'width': 16,
'height': 9,
'seed': 0
}
)
result = response.json()
task_id = result['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": "z-image",
"prompt": "A cinematic portrait of a traveler standing on a cliff at golden hour",
"width": 16,
"height": 9,
"seed": 0
}'
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"