alibaba/qwen-image-edit/lora
Qwen Image Edit Lora by Alibaba - AI-powered image editing, style transfer, and transformation. Edit photos with natural language instructions, remove backgrounds, change styles, and enhance images effortlessly.
PNG, JPEG, WebP, or GIF · 20 MiB maximum
Example output — click Run to generate your own
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runalibaba/qwen-image-edit/loraInput Schema
6 parameters · 2 required · 4 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
image | string | Required | The URL of the image to edit. |
prompt | string | Required | The prompt to generate the image with |
seed | integer | Optional | The same seed and the same prompt given to the same version of the model will output the same image every time. |
loras | object[] | Optional | The LoRAs to use for the image generation. You can use up to 3 LoRAs and they will be merged together to generate the final image. · Default: [] |
aspect_ratio | string | Optional | The aspect ratio of the generated image. · Options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 21:916:93:24:35:41:14:53:42:39:16 |
output_format | string | Optional | The format of the generated image. · Options: jpeg, png · Default: "png" jpegpng |
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-readable error description |
Async Workflow
This model uses asynchronous execution. Submit a request and poll for the result.
- Submit — POST to /v1/run, receive an
id - Poll — GET /v1/run/{id} until status is
completed,failed, ortimeout - Retrieve — Read
outputsfrom the completed response
Code Examples
Ready-to-run snippets
# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "alibaba/qwen-image-edit/lora",
"image": "https://static.sandbase.ai/examples/alibaba/qwen-image-edit/lora/input_image_0.png",
"loras": [],
"prompt": "Change bag to apple macbook",
"output_format": "png"
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
Qwen Image Edit LoRA
Qwen Image Edit LoRA is the Qwen Image route for instruction-driven image revision. It uses Qwen’s combined visual-semantic and appearance modeling to interpret subjects, relationships, typography, spatial structure, and surface detail as a connected composition, giving this exact route a clearer production purpose than a generic image request.
Use Qwen Image Edit LoRA when the project specifically requires a controlled change to supplied imagery. State the creative goal, then define composition, viewpoint, wording, materials, lighting, and finish; for edits, explicitly separate the intended transformation from identity, layout, or regions that must remain stable.
Highlights
- Qwen Image Semantic content editing. Changes object identity, scene meaning, viewpoint, or style through natural language.
- Qwen Image Appearance-level revision. Modifies local color, texture, text, or material while preserving surrounding context.
- Qwen Image Chinese and English text editing. Adds, removes, or replaces bilingual wording in designed imagery.
- Qwen Image Source identity and layout preservation. Retains unrequested subjects, composition, and visual structure through revision. The configured adaptation adds task-specific learned behavior.
Pricing
| Configuration | Billing unit | Price |
|---|---|---|
| Base generation | Per request | $0.035 |
When to Use
| ✅ Good fit | ❌ Consider alternatives |
|---|---|
| The project needs this exact named workflow | The intended task belongs to another media route |
| All required reference or control media is available | Necessary assets or rights are unavailable |
| The brief can state transformation and preservation goals | Output must be deterministic at pixel or frame level |
| Supported duration, resolution, and format fit delivery | Final placement requires unsupported specifications |
| An asynchronous generated result fits production | A live frame-synchronous response is mandatory |
Prompt Guide
Identify the primary subject and every source or condition, state the intended transformation or action, then describe composition, camera or viewpoint, lighting, materials, pacing, atmosphere, and exact preservation requirements. Refer to multiple inputs in their schema order.
{
"prompt": "A precisely directed composition with explicit subject, transformation, camera or viewpoint, lighting, material, and preservation requirements",
"image": "https://example.com/reference.png",
"seed": 1,
"loras": [],
"aspect_ratio": "21:9"
}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | alibaba/qwen-image-edit/lora |
| Input fields | seed (integer)<br>image (string)<br>loras (array)<br>prompt (string)<br>aspect_ratio (string; 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16)<br>output_format (string; jpeg, png) |
| Required input | prompt, image |
| Output fields | url, content_type |
| Execution | Asynchronous job |
Related Models
alibaba/qwen-imagealibaba/qwen-image/editalibaba/qwen-image/max

