Hunyuan Image 3 Instruct Edit
Playground
Try it on WavespeedAI!Hunyuan Image 3.0 Instruct Edit – instruction-based image editing with natural language prompts, supporting up to 2 reference images for precise modifications. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Features
Hunyuan Image 3 Instruct Edit
Hunyuan Image 3 Instruct Edit is Tencent’s advanced image editing model that transforms existing images based on text instructions. Upload your source images and describe the changes you want — the model intelligently edits while preserving the original style and composition.
Why Choose This?
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Text-driven editing Modify images using natural language instructions for intuitive control.
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Multi-image input Support for multiple reference images to guide complex edits.
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Context-aware modifications Understands scene structure and object relationships for coherent edits.
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Multiple aspect ratios Preset options for 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, and 2:3.
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Flexible sizing Custom width and height from 256 to 1536 pixels.
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Prompt Enhancer Built-in tool to automatically improve your editing instructions.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text instruction describing the desired edit |
| images | Yes | Source images to edit (click ”+ Add Item” for multiple) |
| size | No | Preset aspect ratio: 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3 |
| width | No | Output width in pixels (256-1536, default: 256) |
| height | No | Output height in pixels (256-1536, default: 256) |
| seed | No | Random seed for reproducibility |
How to Use
- Upload your images — add one or more source images by clicking ”+ Add Item”.
- Write your prompt — describe the edits you want (add, remove, modify elements).
- Select size preset — choose an aspect ratio that fits your needs.
- Adjust dimensions (optional) — fine-tune width and height if needed.
- Set seed (optional) — use a fixed seed for reproducible results.
- Run — submit and download your edited image.
Pricing
| Output | Cost |
|---|---|
| Per image | $0.12 |
Best Use Cases
- Photo Retouching — Remove unwanted objects, fix imperfections, enhance details.
- Creative Editing — Transform scenes, change backgrounds, add artistic elements.
- Product Photography — Modify product images, change colors, adjust compositions.
- Content Creation — Adapt existing visuals for different contexts and platforms.
- Design Iteration — Quickly explore variations of existing artwork.
Pro Tips
- Use clear, specific instructions for best results (e.g., “remove the person in the background” instead of “clean up the image”).
- Upload high-quality source images for better editing results.
- Use the Prompt Enhancer to refine your editing instructions.
- Multiple images can provide additional context for complex edits.
- Keep the same seed when comparing different edit instructions.
Notes
- Both prompt and images are required fields.
- Ensure uploaded image URLs are publicly accessible.
- Resolution range is 256-1536 pixels for both width and height.
- For best quality, match output dimensions to your source image aspect ratio.
Related Models
- Hunyuan Image 3 Instruct — Text-to-image generation with the same model family.
- Qwen-Image Edit-Plus — Advanced image editing with bilingual text support.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/hunyuan-image-3-instruct/edit" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"seed": -1
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The text prompt describing the desired edit to the image. | |
| images | array | Yes | [] | 1 ~ 2 items | URLs of the input images to edit (up to 2 images). |
| size | string | No | - | 256 ~ 1536 per dimension | The size of the generated media in pixels (width*height). |
| seed | integer | No | -1 | -1 ~ 2147483647 | The random seed to use for the generation. -1 means a random seed will be used. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content (empty when status is not completed). |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |