Qwen Image 2.0 — Text to Image
Qwen Image 2.0 is Alibaba's unified image generation model, running a 7B-parameter architecture that delivers native 2K resolution and built-in typography rendering. This standard endpoint is optimized for speed, making it ideal for rapid prototyping, prompt exploration, and iterative workflows at $0.035 per image.
Standard vs Pro
The standard tier prioritizes generation speed for fast iteration. When you're ready for final production assets with maximum detail and text accuracy, switch to the Pro endpoint ($0.075/image).
Key Parameters
| Parameter | Default | Range | Notes |
|---|
| prompt | — | up to 1,000 tokens | Describe subject, style, and composition |
| negative_prompt | — | string | Exclude unwanted elements |
| image_size | square | enum or custom | square, square_hd, landscape_4_3, landscape_16_9, portrait_4_3, portrait_16_9 |
| seed | random | integer | Fix for reproducible outputs |
| num_images | 1 | 1–4 | Batch multiple images in one request |
| output_format | png | png / jpeg / webp | Choose based on file size needs |
Quick Start
import fal_client
result = fal_client.subscribe(
"fal-ai/qwen-image-2/text-to-image",
arguments={
"prompt": "Watercolor illustration of a cozy Japanese ramen shop at night, warm lantern glow, rain-slick street reflections, Studio Ghibli atmosphere",
"image_size": "landscape_4_3"
}
)
print(result["images"][0]["url"])
import { fal } from "@fal-ai/client";
const result = await fal.subscribe("fal-ai/qwen-image-2/text-to-image", {
input: {
prompt: "Watercolor illustration of a cozy Japanese ramen shop at night, warm lantern glow, rain-slick street reflections, Studio Ghibli atmosphere",
image_size: "landscape_4_3"
},
});
console.log(result.data.images[0].url);
Iteration Workflow
A practical approach for finding the right output:
- Explore — generate at 15–20 steps to test prompt ideas quickly
- Refine — bump to 25–28 steps once you have a direction
- Finalize — switch to the Pro endpoint at 35+ steps for production renders
Use a fixed seed while adjusting prompt wording to isolate what each change does.
Prompting Tips
- Front-load subjects: "Red sports car on mountain road, aerial drone shot, golden hour" beats "A nice landscape photo with a car somewhere."
- Be specific about style: "editorial photography", "watercolor illustration", "low-poly 3D render" — avoid vague terms like "beautiful" or "amazing."
- One style per prompt: "Photorealistic oil painting" confuses the model. Pick one direction.
- Negative prompts help:
"blurry, distorted, deformed, watermark, text artifacts" cleans up common issues.
Best Use Cases
- Concept exploration — quickly test ideas before committing to Pro-quality renders
- Social media content — fast turnaround for posts and stories
- Mood boards and references — generate visual directions for creative projects
- Batch generation — produce multiple variations cheaply to find the best composition
fal-ai/qwen-image-2/text-to-image
