# Qwen Image Edit 2511

> Alibaba's Qwen image editing model for instruction-based image modifications and transformations

## Quick Reference

- Model ID: qwen-image-edit-2511
- Creator: Alibaba
- Status: active
- Family: qwen
- Base URL: https://api.lumenfall.ai/openai/v1

## Specifications

- Input Modalities: text, image
- Output Modalities: image

## Model Identifiers

- Primary Slug: qwen-image-edit-2511
- Aliases: qwen-image-edit-plus-2511

## Dates


## Tags

image-generation, image-editing

## Available Providers

### Replicate

- Config Key: replicate/qwen-image-edit-2511
- Provider Model ID: qwen/qwen-image-edit-2511
- Pricing:
  - source: official
  - currency: USD
  - components: [{"type" => "output", "metric" => "image", "unit_price" => 0.03}]
  - source_url: https://replicate.com/qwen/qwen-image-edit-2511
  - effective_at: 2026-01-02

### fal.ai

- Config Key: fal/qwen-image-edit-2511
- Provider Model ID: fal-ai/qwen-image-edit-2511
- Pricing:
  - source: official
  - currency: USD
  - components: [{"type" => "output", "metric" => "megapixel", "unit_price" => 0.03}]
  - source_url: https://fal.ai/models/fal-ai/qwen-image-edit-2511
  - effective_at: 2025-12-29


## Performance Metrics

Provider performance over the last 30 days.

### fal

- Median Generation Time (p50): 3039ms
- 95th Percentile Generation Time (p95): 5485ms
- Average Generation Time: 3617ms
- Success Rate: 100.0%
- Total Requests: 564
- Time to First Byte (p50): 3041ms
- Time to First Byte (p95): 5529ms

### replicate

- Median Generation Time (p50): 3620ms
- 95th Percentile Generation Time (p95): 17217ms
- Average Generation Time: 6139ms
- Success Rate: 74.8%
- Total Requests: 1545
- Time to First Byte (p50): 3603ms
- Time to First Byte (p95): 16266ms


## Arena Benchmarks

### Man and Car in California

- Elo: 1257
- Record: 308W / 223L / 16T (547 battles)
- Rank: #4 of 13


## Use Cases & Category Performance

### Photorealism (Image Editing)

- Rank: #5 of 16
- Elo: 1245
- Record: 307W / 222L / 16T (545 battles)
- Win Rate: 56.3%


## Image Gallery

2 images available for this model.
- Curated examples: 1
  - "Cinematic wide shot of a high-end, sun-drenched artisan leather workshop. In the center, a master craftsman’s clutter..."
- Competition results: 1
  - Man and Car in California: #4 of 13 (Elo 1257)

## Example Prompt

The following prompt was used to generate an example image in our playground:

A cozy sunlit pottery studio filled with half-finished clay vases and green ferns. A focused artisan shapes a bowl on a spinning wheel. In the soft-focus background, a capybara rests peacefully on a terracotta floor tile near the open garden door.

## Code Examples

### Text to Image (Generation)

#### cURL

curl -X POST \
  https://api.lumenfall.ai/openai/v1/images/generations \
  -H "Authorization: Bearer $LUMENFALL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen-image-edit-2511",
    "prompt": "A serene mountain landscape at sunset",
    "size": "1024x1024"
  }'

# Response:
# { "created": 1234567890, "data": [{ "url": "https://...", "revised_prompt": "..." }] }

#### JavaScript

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_API_KEY',
  baseURL: 'https://api.lumenfall.ai/openai/v1'
});

const response = await client.images.generate({
  model: 'qwen-image-edit-2511',
  prompt: 'A serene mountain landscape at sunset',
  size: '1024x1024'
});

// { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }
console.log(response.data[0].url);

#### Python

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.lumenfall.ai/openai/v1"
)

response = client.images.generate(
    model="qwen-image-edit-2511",
    prompt="A serene mountain landscape at sunset",
    size="1024x1024"
)

# { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }
print(response.data[0].url)

### Image Editing

#### cURL

curl -X POST \
  https://api.lumenfall.ai/openai/v1/images/edits \
  -H "Authorization: Bearer $LUMENFALL_API_KEY" \
  -F "model=qwen-image-edit-2511" \
  -F "image=@source.png" \
  -F "prompt=Add a starry night sky to this image" \
  -F "size=1024x1024"

# Response:
# { "created": 1234567890, "data": [{ "url": "https://...", "revised_prompt": "..." }] }

#### JavaScript

import OpenAI from 'openai';
import fs from 'fs';

const client = new OpenAI({
  apiKey: 'YOUR_API_KEY',
  baseURL: 'https://api.lumenfall.ai/openai/v1'
});

const response = await client.images.edit({
  model: 'qwen-image-edit-2511',
  image: fs.createReadStream('source.png'),
  prompt: 'Add a starry night sky to this image',
  size: '1024x1024'
});

// { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }
console.log(response.data[0].url);

#### Python

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.lumenfall.ai/openai/v1"
)

response = client.images.edit(
    model="qwen-image-edit-2511",
    image=open("source.png", "rb"),
    prompt="Add a starry night sky to this image",
    size="1024x1024"
)

# { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }
print(response.data[0].url)


## About

## Overview
Qwen Image Edit 2511 is a specialized vision-language model developed by Alibaba designed for instruction-based image modification. Unlike standard text-to-image models that generate images from scratch, this model takes an existing image and a natural language prompt as input to perform precise transformations. It is distinctive for its ability to follow complex editing instructions while maintaining the spatial consistency and identity of the original subject.

## Strengths
*   **Instruction Following:** Translates nuanced natural language commands into specific visual changes, such as "make the sky a sunset" or "replace the coffee cup with a glass of orange juice."
*   **Subject Preservation:** Maintains the high-level features and structural integrity of the base image, ensuring that modified elements blend realistically with the unchanged surroundings.
*   **Style and Texture Transfer:** Excels at altering the artistic style or material properties of an image while keeping the underlying geometry intact.
*   **Localized Editing:** Demonstrates the ability to target specific regions for modification without requiring the user to provide manual masks or pixel-perfect coordinates.

## Limitations
*   **Heavy Morphological Changes:** While effective at replacement and style shifts, it may struggle with extreme structural changes that fundamentally alter the perspective or anatomy of the primary subject.
*   **Text Rendering:** Like many diffusion-based architectures, it may produce illegible or inconsistent text when asked to add specific typography to an image.
*   **Prompt Sensitivity:** Drastic changes in the prompt can occasionally lead to unintended global shifts in color or lighting that stray from the original image's mood.

## Technical Background
Qwen Image Edit 2511 belongs to the broader Qwen family of models, leveraging a multi-modal architecture that bridges visual encoders with a generative backbone. It is trained on large-scale datasets of paired images (before and after) and their corresponding textual descriptions to learn the relationship between linguistic instructions and visual deltas. This approach allows the model to treat image editing as a conditional generation task, focusing on the residuals between the source and target states.

## Best For
This model is ideal for creative asset iteration, rapid prototyping of social media content, and product visualization where specific attributes must be toggled (e.g., changing background environments or colors). It is also well-suited for developers building photo editing tools that require a natural language interface. 

Qwen Image Edit 2511 is available for integration and testing through **Lumenfall’s unified API and playground**, allowing you to benchmark its editing precision against other generative vision models in your workflow.

## Frequently Asked Questions

### How much does Qwen Image Edit 2511 cost?

Qwen Image Edit 2511 starts at $0.03 per image through Lumenfall. Pricing varies by provider. Lumenfall does not add any markup to provider pricing.

### How do I use Qwen Image Edit 2511 via API?

You can use Qwen Image Edit 2511 through Lumenfall's OpenAI-compatible API. Send requests to the unified endpoint with model ID "qwen-image-edit-2511". Code examples are available in Python, JavaScript, and cURL.

### Which providers offer Qwen Image Edit 2511?

Qwen Image Edit 2511 is available through Replicate and fal.ai on Lumenfall. Lumenfall automatically routes requests to the best available provider.

## Links

- Model Page: https://lumenfall.ai/models/alibaba/qwen-image-edit-2511
- About: https://lumenfall.ai/models/alibaba/qwen-image-edit-2511/about
- Providers, Pricing & Performance: https://lumenfall.ai/models/alibaba/qwen-image-edit-2511/providers
- API Reference: https://lumenfall.ai/models/alibaba/qwen-image-edit-2511/api
- Benchmarks: https://lumenfall.ai/models/alibaba/qwen-image-edit-2511/benchmarks
- Use Cases: https://lumenfall.ai/models/alibaba/qwen-image-edit-2511/use-cases
- Gallery: https://lumenfall.ai/models/alibaba/qwen-image-edit-2511/gallery
- Playground: https://lumenfall.ai/playground?model=qwen-image-edit-2511
- API Documentation: https://docs.lumenfall.ai