Firered Image V1.1 Edit
Playground
Try it on WavespeedAI!FireRed Image Edit V1.1 enables precise image editing with natural-language instructions, supporting both English and Chinese prompts with multi-image references. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Features
FireRed Image V1.1 Edit
FireRed Image V1.1 Edit is a powerful multi-image editing model that transforms reference images based on text prompts. Upload up to 3 reference images and describe the desired output — the model generates new images that combine elements, styles, or characters from your references with cinematic quality and retro aesthetics.
Why Choose This?
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Multi-image reference Combine elements from up to 3 reference images into a single cohesive output.
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Style-aware editing Excels at editorial looks, film grain, retro tones, and cinematic aesthetics.
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Flexible sizing Choose preset aspect ratios or custom dimensions — leave empty to preserve original proportions.
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Character consistency Maintain subject identity while transforming style, setting, or mood.
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Prompt Enhancer Built-in tool to automatically improve your descriptions.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the desired output |
| images | Yes | Reference images (max: 3, click ”+ Add Item” to add more) |
| size | No | Aspect ratio: 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3 |
| width | No | Custom width in pixels (range: 256–1536) |
| height | No | Custom height in pixels (range: 256–1536) |
How to Use
- Upload reference images — add up to 3 images for style, character, or scene guidance.
- Write your prompt — describe the desired output with style and mood details.
- Set size (optional) — choose a preset ratio, custom dimensions, or leave empty to keep original proportions.
- Use Prompt Enhancer (optional) — click to refine your description.
- Run — submit and download your edited image.
Pricing
| Output | Cost |
|---|---|
| Per image | $0.08 |
Best Use Cases
- Editorial Portraits — Create stylized portraits with film grain and retro aesthetics.
- Character Styling — Transform subjects into different settings, eras, or moods.
- Vintage Looks — Generate images with warm retro tones and classic Americana vibes.
- Fashion & Lifestyle — Produce editorial-quality imagery for campaigns.
- Creative Compositing — Combine elements from multiple reference images seamlessly.
Pro Tips
- Describe the style explicitly — include details like “film grain,” “warm retro tones,” or “editorial portrait.”
- Reference images guide the output — use clear, high-quality images for best results.
- Leave size empty to automatically preserve the original image proportions.
- Include setting and mood details (e.g., “classic diner neon sign at dusk”) for atmospheric results.
- Use 1–2 reference images for simpler edits; add a third for complex multi-element compositions.
Notes
- Both prompt and images are required fields.
- Maximum 3 reference images can be uploaded.
- If size is not specified, the model preserves the original image ratio.
- Resolution range: 256–1536 pixels for both width and height.
Related Models
- FireRed Image Edit — Previous version with multi-image composition.
- Qwen Image 2.0 Edit — Multi-image editing with Figure references.
- Seedream V5.0 Lite Edit — Style transfer and multi-reference editing.
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/firered-image-v1.1/edit" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The editing instruction describing what changes to make to the image. Supports both English and Chinese. | |
| images | array | Yes | [] | 1 ~ 3 items | List of URLs of input images for editing. The maximum number of images is 3. |
| size | string | No | - | 256 ~ 1536 per dimension | The size of the generated media in pixels (width*height). |
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 images. |
| 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 |