sandbase-ai/ben-v2-image
Ben V2 Image by sandbase-ai - 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/runsandbase-ai/ben-v2-imageInput Schema
2 parameters · 1 required · 1 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
image | string | Required | URL of image to be used for background removal |
seed | integer | Optional | Random seed for reproducible generation. |
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/ben-v2-image",
"image": "https://static.sandbase.ai/examples/ideogram-ai/ideogram/remove-background/input_image_0.webp",
"prompt": "a beautiful sunset over mountains"
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
BEN V2 Image
BEN V2 Image occupies the generated-image role in the model catalog for application builders. Its practical value is to turn a one-off creative request into a repeatable catalog operation: an upstream service can confirm that it has image, submit one well-scoped job, and receive a generated image asset for downstream approval. This positioning explains when the exact sandbase-ai/ben-v2-image route belongs in an architecture without borrowing promises from another version, tier, or task variant.
A production-minded integration begins by checking the source ownership, expected result, and release checklist. The caller records required values separately from optional choices such as seed, 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/ben-v2-image measurable business context while leaving the Highlights section to explain model behavior.
Highlights
- Prompt-responsive composition. ben-v2-image turns detailed natural-language art direction into a complete visual with a defined subject, setting, and treatment.
- Style range. The route can interpret photographic, illustrative, graphic, or conceptual direction when those choices are stated clearly in the prompt.
- Layout control. Supported framing and composition controls help ben-v2-image prepare imagery for landscape, square, portrait, or design-specific placements.
- Iteration-ready output. Seed and other declared creative controls make it practical to compare focused variations while retaining the core brief.
Pricing
| Billing option | Price |
|---|---|
| Per request | $0.025000 |
When to Use
| Scenario | Why it fits |
|---|---|
| Choose BEN V2 Image | Use it when the job specifically calls for ben v2 image and the route’s documented input contract matches assets already available in your workflow. |
| Keep the request reproducible | Use the required image 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/ben-v2-image.
{
"image": "https://static.sandbase.ai/examples/ideogram-ai/ideogram/remove-background/input_image_0.webp"
}
Technical Specs
| Specification | Details |
|---|---|
| Model ID | sandbase-ai/ben-v2-image |
| Execution mode | async |
| Task type | image |
seed | integer · optional |
image | string · required |