sandbase-ai/firered-image-edit-v1.1
Firered Image Edit V1.1 is sandbase-ai's intelligent image editing model. Transform, retouch, and reimagine existing images using text prompts - from background replacement to artistic style conversion.
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/runsandbase-ai/firered-image-edit-v1.1Input Schema
7 parameters · 1 required · 6 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Required | The editing instruction describing what changes to make to the image. Supports both English and Chinese instructions. |
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. |
images | string[] | Optional | The URLs of the images to edit. Supports single image editing and multi-image references (e.g., virtual try-on, style transfer from reference, portrait makeup). |
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 |
guidance_scale | number | Optional | Classifier-free guidance scale. Higher values make the model follow the prompt more closely. · Min: 1 · Max: 10 · Default: 4 |
num_inference_steps | integer | Optional | The number of inference steps to perform. More steps generally produce higher quality results. · Min: 2 · Max: 50 · Default: 30 |
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": "sandbase-ai/firered-image-edit-v1.1",
"images": [
"https://static.sandbase.ai/examples/openai/gpt-image-1/edit/input_images_0.png"
],
"prompt": "Transform her look into a romantic Parisian evening style with a soft smoky eye in warm terracotta and bronze tones, enhanced lashes with a subtle winged effect, sun-kissed contouring that complements her olive skin, a natural rose-tinted blush on the apples of her cheeks, and lips in a sophisticated mauve-pink shade with a subtle glossy finish, while adding a touch of luminous highlighter on her cheekbones and cupid's bow to catch the warm cafe lighting.",
"output_format": "png",
"guidance_scale": 4,
"num_inference_steps": 30
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
FireRed Image Edit v1.1
FireRed Image Edit v1.1 occupies the guided-image-revision role in the model catalog for design-system owners. Its practical value is to turn a one-off creative request into a repeatable catalog operation: an upstream service can confirm that it has prompt, submit one well-scoped job, and receive a revised image asset for downstream approval. This positioning explains when the exact sandbase-ai/firered-image-edit-v1.1 route belongs in an architecture without borrowing promises from another version, tier, or task variant.
A disciplined evaluation loop begins by checking the input readiness, acceptance criteria, and publishing destination. The caller records required values separately from optional choices such as seed, images, aspect_ratio, output_format, guidance_scale, num_inference_steps, runs a small representative sample, and stores the route name with the resulting artifact. Reviewers then compare that artifact with the agreed acceptance criteria, document any rejected setup, and promote only a successful request shape into larger batches. This workflow gives sandbase-ai/firered-image-edit-v1.1 measurable business context while leaving the Highlights section to explain model behavior.
Highlights
- Instruction-led revision. Firered Image Edit V1.1 applies a written change to supplied imagery instead of rebuilding the scene without visual context.
- Source continuity. The edit workflow helps Firered Image Edit V1.1 retain recognizable composition and subject information while carrying out the requested transformation.
- Targeted creative changes. Firered Image Edit V1.1 suits restyling, replacement, cleanup, and composition adjustments expressed in natural language.
- Repeatable variants. Teams can keep the same source and vary one instruction at a time to compare controlled edit directions with Firered Image Edit V1.1.
Pricing
| Billing option | Price |
|---|---|
| Per request | $0.032500 |
When to Use
| Scenario | Why it fits |
|---|---|
| Choose FireRed Image Edit v1.1 | Use it when the job specifically calls for firered image edit v1.1 and the route’s documented input contract matches assets already available in your workflow. |
| Keep the request reproducible | Use the required prompt explicitly, then record optional choices alongside the prompt for repeatable reruns. |
| Build controlled creative variations | Change one declared control at a time when comparing framing, format, duration, resolution, style, or other route-supported output decisions. |
| Integrate asynchronous delivery | Use this endpoint when an application can submit work, track completion, and collect the returned media URL instead of requiring an immediate inline artifact. |
| Validate before a large batch | Run representative prompts and source assets first, confirm the visual or audio behavior, then lock the successful request shape for scaled production. |
Prompt Guide
Lead with the subject or transformation, then add the composition, environment, style, lighting, motion, voice, or fidelity details relevant to this route. Keep every parameter inside the documented schema; the example below uses only fields declared for sandbase-ai/firered-image-edit-v1.1.
{
"prompt": "Transform her look into a romantic Parisian evening style with a soft smoky eye in warm terracotta and bronze tones, enhanced lashes with a subtle winged effect, sun-kissed contouring that complements her olive skin, a natural rose-tinted blush on the apples of her cheeks, and lips in a sophisticated mauve-pink shade with a subtle glossy finish, while adding a touch of luminous highlighter on her cheekbones and cupid's bow to catch the warm cafe lighting.",
"aspect_ratio": "21:9",
"output_format": "png"
}
Technical Specs
| Specification | Details |
|---|---|
| Model ID | sandbase-ai/firered-image-edit-v1.1 |
| Execution mode | async |
| Task type | image |
seed | integer · optional |
images | array · optional |
prompt | string · required |
aspect_ratio | string · optional · choices: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 |
output_format | string · optional · choices: jpeg, png |
guidance_scale | number · optional · min 1 · max 10 |
num_inference_steps | integer · optional · min 2 · max 50 |