Qwen3 Text To Image | PineRouter Docs

Imageqwen3/text-to-image

Use with POST /v1/jobs, POST /v1/images/generations.

Price

Settings	Price
2k	$0.030 per image
1k	$0.030 per image

Input fields

Field	Type or options	Default
`prompt`	string
`resolution`	`1K` `2K`
`image_size`	`1:1` `3:2` `2:3` `4:3` `3:4` `16:9` `9:16` `21:9`	`"16:9"`
`output_format`	`png` `jpeg`
`prompt_extend`	boolean	`true`
`negative_prompt`	string
`seed`	integer

Files are public https links. Safety filters are always on.

Example

curl https://pinerouter.ai/v1/jobs \
  -H "Authorization: Bearer $API_KEY" -H "Content-Type: application/json" \
  -d '{"model":"qwen3/text-to-image","input":{"image_size":"16:9","prompt_extend":true,"prompt":"Describe what you want"}}'

Then poll GET /v1/jobs/<id> until data.status is succeeded (links in data.outputs), or pass webhook_url to be called when it finishes; see Jobs.

import time, requests

BASE, H = "https://pinerouter.ai", {"Authorization": "Bearer YOUR_API_KEY"}
job = requests.post(f"{BASE}/v1/jobs", headers=H, json={"model":"qwen3/text-to-image","input":{"image_size":"16:9","prompt_extend":True,"prompt":"Describe what you want"}}).json()["data"]
while job["status"] not in ("succeeded", "failed"):
    time.sleep(5)
    job = requests.get(f"{BASE}/v1/jobs/{job['id']}", headers=H).json()["data"]
print(job["outputs"] or job.get("error"))