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Qwen Image Generator (Venice/x402)
x402
Qwen Image Generator (Venice/x402) is a paid API for AI agents from x402.agentutility.ai, paid per call via x402, $0.04/call, status unknown (last checked 2026-11-02).
Generates SFW images using Venice's Qwen image model, supporting text-in-image, bilingual prompts, diagrams, posters, and structured visual concepts, returning a permanent fal-hosted PNG URL.
Price / call$0.04
Success—
StatusUnknown
How this service works
Generates SFW images with Venice's qwen-image model on a dedicated endpoint. Fixed-model route for Qwen Image generation, text-in-image attempts, bilingual prompt following, diagrams, posters, and structured visual concepts. Returns a permanent fal-hosted PNG URL.
Output
Returns a JSON object containing the permanent fal.media-hosted PNG image URL, the model name ('qwen-image'), source tier ('qwen'), and the output image dimensions (width and height in pixels).
Example use cases
Bilingual poster design automation
“Create a 1024x768 promotional poster for a Tokyo jazz festival featuring the event title in both English and Japanese, with a vintage art deco style and warm golden tones — avoid any modern or digital-looking elements.”
Structured diagram from text
“Generate a clean flowchart diagram showing the steps of a machine learning pipeline — data collection, preprocessing, training, evaluation, and deployment — on a white background at 1024x512 pixels.”
Reproducible concept art for a game
“Make a fantasy forest scene with glowing mushrooms and a hidden stone temple, 1024x1024 pixels, using seed 42 so I can reproduce the exact same image again later — no dark creatures or horror elements.”
Technical details
Endpoint
POSThttps://x402.agentutility.ai/qwen-image?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need Qwen's specific strengths: text-in-image rendering, bilingual (especially Chinese/English) prompt following, structured visual concepts like diagrams and posters, or when you want a fixed model route guaranteed to use qwen-image rather than a routing layer that might swap models. Prefer over gpt-image-2 when East Asian typography or bilingual labels in the image are required.
Side effects
- Prompt exceeds 3000 characters — request rejected
- Width or height outside [256, 1024] range — validation error
- Venice API unavailable — upstream service error
- Content policy violation for borderline prompts — generation refused
- Invalid seed or non-numeric parameters — schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"tier": "qwen",
"model": "qwen-image",
"width": 1024,
"height": 1024,
"source": "venice",
"image_url": "https://v3.fal.media/files/abc/xyz/image.png"
}
}Tags
x402
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