Qwen Image 2.0 Edit is an advanced image-editing model with improved quality and better understanding of instructions. Up to 2k. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Bezczynny

$0.03za uruchomienie·~33 / $1

STYLE: Emphasize photographic qualities like camera settings, depth of field, and lighting. A candid, high-resolution group photo captured with a wide-angle lens, shallow depth of field, and natural ambient lighting. The individuals in Figure 1 and Figure 2 are positioned in a tight, casual formation, smiling slightly or looking toward the camera with relaxed expressions. Their clothing and background suggest a real-world, outdoor setting with soft bokeh and diffused daylight. The composition is centered, with natural depth of field emphasizing the group while blurring the periphery. Shot on film simulation with subtle grain, warm color grading, and realistic lens distortion to enhance authenticity.

STYLE: Emphasize photographic qualities like camera settings, depth of field, and lighting. A vibrant, sunlit beach scene captured with a wide-angle lens, shallow depth of field, and natural golden-hour lighting. A young man in casual beachwear—linen short-sleeve shirt left slightly unbuttoned, rolled-up chino shorts, and leather flip-flops—stands barefoot on soft sand, smiling confidently at the camera. His hair is lightly tousled by the sea breeze, with a pair of aviator sunglasses resting on his head, and his expression radiates ease and carefree energy. The background features blurred turquoise waves and distant palm trees, creating a dreamy bokeh effect. Shot in candid-style beach photography with warm tones, high dynamic range, and realistic textures. Medium shot, eye-level, capturing his full upper body and surroundings with a natural, inviting atmosphere.
Qwen Image 2.0 Pro is premium text-to-image model, delivering the highest quality output in the Qwen Image 2.0 family. With superior detail rendering, enhanced prompt adherence, and professional-grade visual fidelity, it's ideal for production work requiring maximum quality.
Pro-tier quality Maximum visual fidelity and detail in the Qwen Image 2.0 family.
Superior prompt adherence Best-in-class at following detailed, complex prompts with multiple elements and attributes.
Enhanced detail rendering Exceptional at rendering intricate details like hair textures, jewelry, skin tones, and fabric.
Flexible aspect ratios Multiple presets including 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, and 2:3.
Custom resolution Adjustable width and height from 256 to 2048 pixels.
Prompt Enhancer Built-in tool to automatically improve your descriptions.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the desired image |
| size | No | Aspect ratio preset: 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3 |
| width | No | Custom width in pixels (range: 256–2048) |
| height | No | Custom height in pixels (range: 256–2048) |
| seed | No | Random seed for reproducibility (-1 for random) |
| Output | Cost |
|---|---|
| Per image | $0.03 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/qwen-image-2.0/edit with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Qwen Image 2.0 Edit below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/qwen-image-2.0/edit" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"seed": -1
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("wavespeed-ai/qwen-image-2.0/edit", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"seed": -1
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/qwen-image-2.0/edit",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"seed": -1
}
)
print(output["outputs"][0]) # → URL of the generated outputQwen Image 2.0 Edit is a WaveSpeedAI model for image editing, exposed as a REST API on WaveSpeedAI. Qwen Image 2.0 Edit is an advanced image-editing model with improved quality and better understanding of instructions. Up to 2k. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/qwen-image-2.0-edit.
Qwen Image 2.0 Edit starts at $0.030 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `images`, `seed`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/qwen-image-2.0-edit.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.