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

fal-ai/qwen-image-2/edit

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

Learn more about Qwen Image

Inference

Commercial use

Partner

This endpoint is deprecated

This model is no longer supported.

Schema

Playground API

Input

Prompt*

Additional Settings

Customize your input with more control.

Result

Idle

What would you like to do next?

fal-ai/qwen-image-2/edit

Schema

Input

Prompt*

Additional Settings

Customize your input with more control.

Result

Idle

What would you like to do next?

Input

Prompt*

Type # to reference inputs.

Enable Prompt Expansion

Image Urls*

Hint: Drag and drop files from your computer, images from web pages, paste from clipboard (Ctrl/Cmd+V), or provide a URL.

1 image added

Additional Settings

Customize your input with more control.

Result

Idle

What would you like to do next?

Your request will cost $0.035 per image.

Qwen Image 2.0 — Image Editing

Qwen Image 2.0 Editing uses natural language instructions to modify images — no masks, control points, or multi-stage pipelines required. Describe the edit, provide a source image, and the model handles the rest. This standard endpoint is optimized for fast iteration at $0.035 per image.

What You Can Edit

Backgrounds — replace, remove, or modify scene environments
Objects — insert new elements or remove unwanted ones
Style — apply artistic styles across the full image or specific regions
Text — add, change, or remove text within images
Attributes — adjust colors, lighting, materials, or object properties
Composition — combine elements from multiple images into a cohesive result

Key Parameters

Parameter	Default	Range	Notes
prompt	—	string	Describe the desired edit in natural language
image_url	—	URL	Public URL of the image to edit
num_images	1	1–4	Multiple variations in one request
seed	random	integer	Reproducible results
output_format	png	png / jpeg / webp	Output file format

Quick Start

python
import fal_client

result = fal_client.subscribe(
    "fal-ai/qwen-image-2/edit",
    arguments={
        "prompt": "Remove the person in the background and fill the area naturally",
        "image_url": "https://example.com/your-photo.jpg"
    }
)

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

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

const result = await fal.subscribe("fal-ai/qwen-image-2/edit", {
  input: {
    prompt: "Remove the person in the background and fill the area naturally",
    image_url: "https://example.com/your-photo.jpg"
  },
});

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

Iteration Workflow

Test the edit — run at 15–20 steps to check if the model understands your intent
Refine the prompt — adjust wording, add specifics about what to preserve
Increase quality — bump to 25–28 steps once the direction is right
Go Pro — switch to the Pro editing endpoint for the final version at maximum fidelity

Use num_images: 2 or 3 to compare variations and pick the best result.

Prompt Writing Guide

Edit prompts need to specify both the change and the context. A few patterns that work well:

Be Explicit About the Change

"Change the wall color from white to deep navy blue"
"Replace the wooden table with a glass desk"
"Add a potted plant in the empty corner on the left"

Mention What to Preserve

"...keep the lighting and shadows consistent"
"...preserve the subject's expression and pose"
"...maintain the original color palette for everything else"

Avoid Vague Instructions

Too vague: "Make it look better" — the model has no direction
Better: "Increase the contrast, deepen the shadows, and add warm golden tones to the highlights"

Guidance Scale Tuning

The guidance_scale parameter is particularly important for editing:

2–4: Loose interpretation — good for creative style transfer where you want the model to improvise
4–7: Balanced — works for most practical edits (background swaps, object changes, color adjustments)
7–12: Strict adherence — useful when the prompt must be followed precisely, but may produce artifacts

Start at the default (4.5) and adjust based on results.

Image Editing (Pro) — higher fidelity for production assets
Text to Image — generate new images from text
API Reference — full parameter documentation

Qwen Image 2.0 — Image Editing

What You Can Edit

Backgrounds — replace, remove, or modify scene environments
Objects — insert new elements or remove unwanted ones
Style — apply artistic styles across the full image or specific regions
Text — add, change, or remove text within images
Attributes — adjust colors, lighting, materials, or object properties
Composition — combine elements from multiple images into a cohesive result

Key Parameters

Parameter	Default	Range	Notes
prompt	—	string	Describe the desired edit in natural language
image_url	—	URL	Public URL of the image to edit
num_images	1	1–4	Multiple variations in one request
seed	random	integer	Reproducible results
output_format	png	png / jpeg / webp	Output file format

Quick Start

python
import fal_client

result = fal_client.subscribe(
    "fal-ai/qwen-image-2/edit",
    arguments={
        "prompt": "Remove the person in the background and fill the area naturally",
        "image_url": "https://example.com/your-photo.jpg"
    }
)

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

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

const result = await fal.subscribe("fal-ai/qwen-image-2/edit", {
  input: {
    prompt: "Remove the person in the background and fill the area naturally",
    image_url: "https://example.com/your-photo.jpg"
  },
});

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

Iteration Workflow

Test the edit — run at 15–20 steps to check if the model understands your intent
Refine the prompt — adjust wording, add specifics about what to preserve
Increase quality — bump to 25–28 steps once the direction is right
Go Pro — switch to the Pro editing endpoint for the final version at maximum fidelity

Use num_images: 2 or 3 to compare variations and pick the best result.

Prompt Writing Guide

Edit prompts need to specify both the change and the context. A few patterns that work well:

Be Explicit About the Change

"Change the wall color from white to deep navy blue"
"Replace the wooden table with a glass desk"
"Add a potted plant in the empty corner on the left"

Mention What to Preserve

"...keep the lighting and shadows consistent"
"...preserve the subject's expression and pose"
"...maintain the original color palette for everything else"

Avoid Vague Instructions

Too vague: "Make it look better" — the model has no direction
Better: "Increase the contrast, deepen the shadows, and add warm golden tones to the highlights"

Guidance Scale Tuning

The guidance_scale parameter is particularly important for editing:

2–4: Loose interpretation — good for creative style transfer where you want the model to improvise
4–7: Balanced — works for most practical edits (background swaps, object changes, color adjustments)
7–12: Strict adherence — useful when the prompt must be followed precisely, but may produce artifacts

Start at the default (4.5) and adjust based on results.

Image Editing (Pro) — higher fidelity for production assets
Text to Image — generate new images from text
API Reference — full parameter documentation

Qwen Image 2.0: Fast AI Image Editor with Unified Gen & Edit | fal

fal-ai/qwen-image-2/edit

This endpoint is deprecated

Input

Result

What would you like to do next?

Input

Result

What would you like to do next?

fal-ai/qwen-image-2/edit

This endpoint is deprecated

Input

Result

What would you like to do next?

Input

Result

What would you like to do next?

Input

Result

What would you like to do next?

Input

Result

What would you like to do next?

Input

Result

What would you like to do next?

Qwen Image 2.0 — Image Editing

What You Can Edit

Key Parameters

Quick Start

Iteration Workflow

Prompt Writing Guide

Be Explicit About the Change

Mention What to Preserve

Avoid Vague Instructions

Guidance Scale Tuning

Related Endpoints

Qwen Image 2.0 — Image Editing

What You Can Edit

Key Parameters

Quick Start

Iteration Workflow

Prompt Writing Guide

Be Explicit About the Change

Mention What to Preserve

Avoid Vague Instructions

Guidance Scale Tuning

Related Endpoints