fal-ai/qwen-image-2/pro/text-to-image

Qwen-Image-2.0 is a next-generation foundational unified generation-and-editing model

Learn more about Qwen Image 2

Inference

Commercial use

Partner

Schema

LLMs

Playground API

Input

Prompt*

# 1930s Luxury Automobile Manufacturing – 11-Stage Infographic
## LAYOUT
- 3 rows, flowchart with arrows left→right, curving down between rows
- Row 1: Stages 1–3 | Row 2: Stages 4–6 | Row 3: Stages 7–11
- Style: hand-drawn sketch, watercolor coloring. Car color: deep burgundy/cream accents
- Car style: 1930s grand tourer (long hood, flowing fenders, wire wheels, art deco chrome)
---
## ROW 1
### STAGE 1 – DESIGN & COACHBUILDING PLANNING
- Isometric design studio with wooden drafting tables
- 3 designers in waistcoats: one drawing side-profile with French curves, one sculpting a cream clay scale model on turntable, one reviewing a full-size blueprint on wall
- Art Deco posters on walls, inkwells, callipers, blackboard with chassis dimensions
### STAGE 2 – SUPPLY CHAIN & RAW MATERIALS
- Components spread out with label lines:
  - **STEEL INGOTS & BILLETS** – dark gray blocks, warm foundry glow
  - **ALUMINUM SHEETS** – silver sheets on wooden pallet
  - **ASH WOOD TIMBER** – honey-brown planks bundled (for body frame)
  - **LEATHER HIDES** – rolled cognac-brown full-grain hides
  - **WIRE SPOKES & HUB CASTINGS** – bundled steel spokes, gray castings
  - **GLASS PANES** – transparent sheets in straw-packed crates
  - **CHROME & BRASS FITTINGS** – shiny strips, handles, hood ornament blanks
- Background: foundry/tannery silhouettes with smoking chimneys
### STAGE 3 – PART FABRICATION (METALWORK & WOODWORK)
Two bordered sub-boxes:
**Top – "METALWORK & FORGING":**
Steel billets → **DROP FORGE** (hammer press, glowing orange part) → **PRECISION LATHE** (belt-driven, machinist in flat cap) → **HAND GAUGING** (micrometers, go/no-go gauges on wooden bench)
**Bottom – "COACHWORK FRAME & PANEL BEATING":**
**ASH CUTTING** (bandsaw, sawdust) → **FRAME JIG ASSEMBLY** (skeletal wooden body on jig, car shape visible) → **HAND PANEL BEATING** (craftsman hammering aluminum over wooden buck) → **ENGLISH WHEEL** (rolling panel for smooth curves)
---
## ROW 2
### STAGE 4 – CHASSIS & MECHANICAL ASSEMBLY
- **LADDER CHASSIS** – dark steel twin rails + cross-members on trestles, riveted. Workers fitting braces
- **FRONT AXLE & LEAF SPRINGS** – beam axle with semi-elliptic springs, worker with wrench
- **REAR AXLE & DIFFERENTIAL** – live axle with pumpkin-shaped housing
- **DRUM BRAKES** – cable-operated assemblies at each wheel position
- **STEERING GEARBOX** – worm-and-sector box, drag link to front axle
### STAGE 5 – ENGINE BUILDING & INSTALLATION
- Left: **ENGINE BENCH** – inline-8 block (dark green/gray), forged crankshaft being lowered in, pistons in a row, twin brass carburetors, magneto ignition, cylinder head being torqued. Oil cans, rags, hand tools
- Right: **ENGINE DROP-IN** – completed engine lowered by chain hoist on A-frame crane into chassis. Two workers guiding. Transmission bell housing visible
### STAGE 6 – BODY MOUNTING
- Bare aluminum body shell (silver, on wooden frame) lowered by overhead gantry onto rolling chassis
- 4–5 workers guiding body down. Red alignment lines between mount points
- Labels: "Body mount bolts", "Firewall alignment", "Running board brackets"
- Full car silhouette now recognizable: long hood, set-back cabin, swept tail
---
## ROW 3
### STAGE 7 – PAINTING & FINISHING
- Painter in white coveralls spraying with gun: gray primer on rear half, deep burgundy lacquer on front half
- Second worker wet-sanding between coats
- Labels: "Lead filler & primer", "Nitrocellulose lacquer", "Hand rubbing & polishing"
### STAGE 8 – INTERIOR TRIMMING
- Cabin cutaway showing: hand-stitched diamond-tufted cognac leather seats, burled walnut dashboard with round gauge holes and chrome bezels, leather door panels with chrome cranks, dark maroon wool carpet, cream cloth headliner
### STAGE 9 – CHROME & BRIGHTWORK
- Vignettes: chrome bumpers bolted on, art deco hood ornament (leaping figurine) on radiator cap, round chrome headlamps on fenders, tall vertical-bar radiator grille, trim strips and door handles. Worker polishing fender to mirror shine
### STAGE 10 – MECHANICAL TESTING
- Completed burgundy car with cream fenders and full chrome
- Labels: "Ignition timing & carburetor tuning" (mechanic with timing light), "Brake balance test", "Wheel alignment" (string method), "Electrical check" (lights glowing), "Fluid fill & leak check"
- Handwritten checklist on clipboard resting on fender
### STAGE 11 – ROAD TEST & DELIVERY
- Left: car in motion on country road, dust trail, driver in goggles/leather cap. Green hills in watercolor background
- Right: car at Art Deco showroom entrance. Factory director in three-piece suit, client in top hat receiving leather key fob, chauffeur in uniform by driver's door
---
## STYLE GUIDE
- **Colors:** Burgundy body (#6B1024), cream accents (#F5E6C8), dark steel chassis, silver aluminum, honey-brown ash wood, cognac leather, bright chrome highlights
- **Typography:** Bold uppercase sans-serif titles ("STAGE [#] – [NAME]"), smaller labels with thin connector lines
- **Style:** Ink outlines, watercolor flat fill, isometric/3/4 view, period-correct details (belt-driven machines, chain hoists, flat caps, Art Deco flourishes)
- **Arrows:** Thin black, left→right, curving down between rows
- **Proportions:** Landscape ~3:1, 3 equal rows, Stage 3 taller, Row 3 has 5 narrower stages

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Additional Settings

Customize your input with more control.

Result

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Your request will cost $0.075 per image.

Logs

Qwen Image 2.0 Pro — Text to Image

Qwen Image 2.0 Pro is the highest-fidelity text-to-image endpoint from Alibaba's Qwen team. It generates images natively at up to 2048 x 2048 pixels with professional typography rendering, detailed compositions, and support for infographics, posters, and comics. Ranked #1 on AI Arena for text-to-image generation.

When to Use Pro vs Standard

Use the Pro endpoint for final production assets where detail, text accuracy, and composition quality matter most. For rapid iteration and prototyping, the standard endpoint runs faster at lower cost ($0.035/image vs $0.075/image).

Key Parameters

Parameter	Default	Range	Notes
prompt	—	up to 1,000 tokens	Front-load your main subject for best results
negative_prompt	—	string	Elements to exclude (e.g. "blurry, watermark")
image_size	square	enum or custom	`square`, `square_hd`, `landscape_4_3`, `landscape_16_9`, `portrait_4_3`, `portrait_16_9`
guidance_scale	5	0–20	5–7 for production; 8–10 for strict text rendering
num_inference_steps	28	1–50	30+ recommended for Pro-quality output
seed	random	integer	Fix for reproducible results
num_images	1	1–4	Generate multiple variations per request
output_format	png	png / jpeg / webp	Choose based on your delivery needs

Quick Start

python
import fal_client

result = fal_client.subscribe(
    "fal-ai/qwen-image-2/pro/text-to-image",
    arguments={
        "prompt": "Minimalist movie poster for 'ECHO STATION', bold sans-serif title at top, lone astronaut in alien desert, two moons, muted teal and burnt orange palette",
        "image_size": "portrait_4_3",
        "num_inference_steps": 35,
        "guidance_scale": 7,
    }
)

print(result["images"][0]["url"])

javascript
import { fal } from "@fal-ai/client";

const result = await fal.subscribe("fal-ai/qwen-image-2/pro/text-to-image", {
  input: {
    prompt: "Minimalist movie poster for 'ECHO STATION', bold sans-serif title at top, lone astronaut in alien desert, two moons, muted teal and burnt orange palette",
    image_size: "portrait_4_3",
    num_inference_steps: 35,
    guidance_scale: 7,
  },
});

console.log(result.data.images[0].url);

Prompting Tips

Structure prompts as: Subject, style, details, composition, lighting. The model weights information by position, so put the most important elements first.
For text-heavy images (posters, infographics, slides): increase `guidance_scale` to 7–10 and `num_inference_steps` to 35+ for sharper text rendering.
Use negative prompts to suppress common artifacts: `"blurry, low quality, distorted, deformed, oversaturated, watermark"`.
Specify aspect ratio to match your output context — `landscape_16_9` for video thumbnails, `portrait_4_3` for mobile, `square_hd` for maximum detail.

Best Use Cases

Infographics and data visualizations — the model can compose complex multi-section layouts with accurate text placement
Movie posters and print design — professional typography with correct perspective on surfaces
Product photography — editorial-quality renders with controlled lighting and composition
Comics and storyboards — multi-panel layouts with consistent character rendering
Social media assets — branded content with text overlays rendered directly in the image

Related Endpoints

Text to Image (Standard) — faster, lower cost for iteration
Image Editing (Pro) — edit existing images with natural language
API Reference — full parameter documentation