Step1x Edit
Playground
Try it on WavespeedAI!Step1X-Edit converts photos into professional-quality edits using simple instructions, rivaling top proprietary tools. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Step1X Edit
Step1X Edit is a powerful AI-powered image editing model that modifies images based on simple text instructions. Describe what you want to change — hair color, clothing, background, objects — and the model applies precise, targeted edits while preserving the rest of the image.
Why It Stands Out
- Instruction-based editing: Edit images using natural language commands.
- Precise modifications: Changes only what you specify, preserving everything else.
- Prompt Enhancer: Built-in AI-powered prompt optimization for better results.
- Negative prompt support: Exclude unwanted elements for cleaner outputs.
- Fine-tuned control: Adjust guidance scale and inference steps for precise results.
- Affordable pricing: High-quality edits at just $0.03 per image.
- Reproducibility: Use the seed parameter to recreate exact results.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text instruction describing the edit you want to make. |
| image | Yes | Source image to edit (upload or public URL). |
| negative_prompt | No | Elements to avoid in the output. |
| seed | No | Set for reproducibility; leave empty for random. |
| guidance_scale | No | Prompt adherence strength (default: 4). |
| num_inference_steps | No | Quality/speed trade-off (default: 30). |
How to Use
- Upload your image — drag and drop a file or paste a public URL.
- Write an editing instruction describing what you want to change. Use the Prompt Enhancer for AI-assisted optimization.
- Add a negative prompt (optional) — specify elements to exclude.
- Adjust parameters (optional) — fine-tune guidance scale and inference steps.
- Click Run and download your edited image.
Example Instructions
- “Change hair color to red”
- “Add sunglasses”
- “Change the background to a beach”
- “Make the dress blue”
- “Remove the hat”
- “Add a smile”
- “Change season to winter”
Best Use Cases
- Portrait Retouching — Change hair color, add accessories, modify expressions.
- Fashion & E-commerce — Swap clothing colors, add or remove items.
- Background Editing — Change environments and settings.
- Creative Projects — Experiment with visual variations quickly.
- Content Creation — Generate multiple versions of images for A/B testing.
Pricing
| Output | Price |
|---|---|
| Per image | $0.03 |
Pro Tips for Best Quality
- Use clear, specific instructions — “Change hair color to red” works better than “Make it different.”
- Keep instructions focused on one or two changes at a time.
- Use negative prompts to prevent unwanted side effects.
- Lower guidance scale (2–4) for subtle changes, higher (5–7) for more dramatic edits.
- Fix the seed when iterating to compare different instructions on the same base.
Notes
- Ensure uploaded image URLs are publicly accessible.
- Processing time varies based on current queue load.
- Please ensure your content complies with usage guidelines.
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/step1x-edit" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"guidance_scale": 4,
"num_inference_steps": 30
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| image | string | Yes | - | The image URL to generate an image from. Needs to match the dimensions of the mask. | |
| negative_prompt | string | No | - | The negative prompt for the generation. | |
| seed | integer | No | - | -1 ~ 2147483647 | The random seed to use for the generation. |
| guidance_scale | number | No | 4 | 0 ~ 20 | The guidance scale to use for the generation. |
| num_inference_steps | integer | No | 30 | 1 ~ 50 | The number of inference steps to perform. |
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 |