sandbase-ai/sana-sprint
Sana Sprint is sandbase-ai's advanced text-to-image AI model. Create photorealistic images, illustrations, and concept art from natural language descriptions with exceptional detail and prompt adherence.
Input
The prompt to generate an image from.
The aspect ratio of the generated image. Allowed values: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16.
020
The CFG (Classifier Free Guidance) scale is a measure of how close you want
the model to stick to your prompt when looking for a related image to show you. Range: 0 to 20.
120
The number of inference steps to perform. Range: 1 to 20.
The format of the generated image. Allowed values: jpeg, png.
The same seed and the same prompt given to the same version of the model
will output the same image every time.
The style to generate the image in. Allowed values: (No style), Cinematic, Photographic, Anime, Manga, Digital Art, Pixel art, Fantasy art, Neonpunk, 3D Model.
Idle
Example output — click Run to generate your own
Production endpoint
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
POST
https://api.sandbase.ai/v1/runModel ID
sandbase-ai/sana-sprint01
Input Schema
7 parameters · 1 required · 6 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Required | The prompt to generate an image from. |
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. |
style_name | string | Optional | The style to generate the image in. · Options: (No style), Cinematic, Photographic, Anime, Manga, Digital Art, Pixel art, Fantasy art, Neonpunk, 3D Model · Default: "(No style)" (No style)CinematicPhotographicAnimeMangaDigital ArtPixel artFantasy artNeonpunk3D Model |
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: "jpeg" jpegpng |
guidance_scale | number | Optional | The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you. · Min: 0 · Max: 20 · Default: 5 |
num_inference_steps | integer | Optional | The number of inference steps to perform. · Min: 1 · Max: 20 · Default: 2 |
02
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
03
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/sana-sprint",
"prompt": "Underwater coral reef ecosystem during peak bioluminescent activity, multiple layers of marine life - from microscopic plankton to massive coral structures, light refracting through crystal-clear tropical waters, creating prismatic color gradients, hyper-detailed texture of marine organisms",
"style_name": "(No style)",
"output_format": "jpeg",
"guidance_scale": 5,
"num_inference_steps": 2
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
Sana Sprint
Sana Sprint occupies a clearly bounded position in a image production pipeline under the route sandbase-ai/sana-sprint. It is best evaluated as a named workflow endpoint rather than as a generic substitute for neighboring versions: planners can assign the route to a specific brief, record the chosen revision, and keep approval history tied to one predictable integration surface from intake through delivery.
A practical rollout of Sana Sprint should begin with source-readiness checks, ownership of the submitted material, an agreed budget, and a written definition of the final sana sprint deliverable. Before automation is enabled, the acceptance pass should verify that the returned asset opens correctly, fits the intended downstream toolchain, satisfies the project’s review criteria, and can be reproduced from the stored request and route identity sandbase-ai/sana-sprint.
Highlights
- Distinct output behavior. For Sana Sprint, for Sana Sprint, concept art from natural language descriptions with detail and prompt adherence In Sana Sprint, this capability is applied through the exact sandbase-ai/sana-sprint workflow with seed as a relevant request control; the seed control exposes the corresponding choice in this route; the seed control exposes the corresponding choice in this route.
- Creative control. For Sana Sprint, for Sana Sprint, text to image In Sana Sprint, this capability is applied through the exact sandbase-ai/sana-sprint workflow with prompt as a relevant request control; the prompt control exposes the corresponding choice in this route; the prompt control exposes the corresponding choice in this route.
- Workflow fit. For Sana Sprint, for Sana Sprint, the aspect ratio of the generated image In Sana Sprint, this capability is applied through the exact sandbase-ai/sana-sprint workflow with style name as a relevant request control; the style name control exposes the corresponding choice in this route; the style name control exposes the corresponding choice in this route.
- Production detail. For Sana Sprint, for Sana Sprint, the CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you In Sana Sprint, this capability is applied through the exact sandbase-ai/sana-sprint workflow with aspect ratio as a relevant request control; the aspect ratio control exposes the corresponding choice in this route; the aspect ratio control exposes the corresponding choice in this route.
Pricing
| Configuration | Price |
|---|---|
| Per request | $0.0025 |
When to Use
| Scenario | Why this model fits |
|---|---|
| Choose Sana Sprint | Use it when the required deliverable is specifically the image result documented for sandbase-ai/sana-sprint. |
| Match the source material | Select this route when your inputs naturally map to seed, prompt, style_name, aspect_ratio. |
| Use its distinguishing capability | For Sana Sprint, concept art from natural language descriptions with detail and prompt adherence In Sana Sprint, this capability is applied through the exact sandbase-ai/sana-sprint workflow with seed as a relevant request control; the seed control exposes the corresponding choice in this route |
| Plan repeatable production | For Sana Sprint, text to image In Sana Sprint, this capability is applied through the exact sandbase-ai/sana-sprint workflow with prompt as a relevant request control; the prompt control exposes the corresponding choice in this route |
| Confirm cost and delivery | Use the pricing combinations below and the output contract above when budgeting or automating Sana Sprint jobs. |
Prompt Guide
Build the request around the exact sandbase-ai/sana-sprint schema. Start with required fields, then add only the controls needed for the intended output; keep URLs reachable and enum values exactly as shown in Technical Specs.
{
"prompt": "Underwater coral reef ecosystem during peak bioluminescent activity, multiple layers of marine life - from microscopic plankton to massive coral structures, light refracting through crystal-clear tropical waters, creating prismatic color gradients, hyper-detailed texture of marine organisms",
"seed": 0,
"style_name": "(No style)",
"aspect_ratio": "21:9"
}
Technical Specs
| Specification | Value |
|---|---|
| Model ID | sandbase-ai/sana-sprint |
| Execution mode | async |
| Required inputs | prompt |
| Request fields | seed (integer, optional); prompt (string, required); style_name (string, optional, options: (No style) / Cinematic / Photographic / Anime / Manga / Digital Art / Pixel art / Fantasy art / Neonpunk / 3D Model); aspect_ratio (string, optional, options: 21:9 / 16:9 / 3:2 / 4:3 / 5:4 / 1:1 / 4:5 / 3:4 / 2:3 / 9:16); output_format (string, optional, options: jpeg / png); guidance_scale (number, optional, min 0, max 20); num_inference_steps (integer, optional, min 1, max 20) |
| Output | url (string); content_type (string) |