bria/text-to-image/base
Base by Bria - generate stunning images from text prompts with state-of-the-art AI. Supports multiple aspect ratios, styles, and high-resolution output for creative and commercial use.
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/runbria/text-to-image/baseInput Schema
8 parameters · 1 required · 7 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Required | The prompt you would like to use to generate images. · Min length: 1 |
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. · Min: 0 · Max: 2147483647 |
medium | string | Optional | Which medium should be included in your generated images. This parameter is optional. · Options: photography, art photographyart |
guidance | object[] | Optional | Guidance images to use for the generation. Up to 4 guidance methods can be combined during a single inference. · Default: [] |
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 |
guidance_scale | number | Optional | Min: 0 · Max: 20 · Default: 5 |
prompt_enhancement | boolean | Optional | When set to true, enhances the provided prompt by generating additional, more descriptive variations, resulting in more diverse and creative output images. · Default: false |
num_inference_steps | integer | Optional | Min: 20 · 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": "bria/text-to-image/base",
"prompt": "A lone figure stands on the edge of a serene cliff at sunset, gazing out over a vast, mystical valley. The figure is clad in flowing robes that ripple in the gentle breeze, silhouetted against the golden and lavender hues of the sky. Below, a cascading waterfall pours into a sparkling river winding through a forest of bioluminescent trees. The scene blends the awe of nature with a touch of otherworldly wonder, inviting reflection and imagination.",
"guidance": [],
"guidance_scale": 5,
"prompt_enhancement": false,
"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
Bria Text To Image Base
Bria Text To Image Base is built for balanced text-to-image generation for general creative production. It gives creative and production teams a focused way to move from an approved brief or source asset to a reviewable result without fragmenting the job across unrelated tools. The model is most valuable when visual intent, brand suitability, and downstream usability all matter, because its output can enter an editorial, campaign, product, or content pipeline as a purposeful asset rather than an isolated experiment.
In practice, teams can use Bria Text To Image Base during a structured cycle of briefing, generation, comparison, and refinement. Establish the subject, audience, visual objective, and acceptance criteria first; prepare any reference media at suitable quality; then evaluate alternatives for composition, continuity, realism, and communication value before delivery. This workflow keeps creative judgment central while making repeated production easier to review, reproduce, and scale for the specific bria/text-to-image/base task.
Highlights
Reliable prompt interpretation. Reliable prompt interpretation gives bria › text to image › base a recognizable technical advantage: reviewers can assess this property directly in the generated asset instead of inferring it from request mechanics.
Balanced speed and fidelity. bria › text to image › base applies balanced speed and fidelity to the visual or temporal result itself, helping artists make a meaningful quality decision during selection and refinement.
Versatile style range. For bria › text to image › base, versatile style range supports coherent assets across the intended creative workflow and distinguishes this capability from a simple format or delivery option.
Strong everyday composition. The practical value of strong everyday composition is visible in the finished media from bria › text to image › base, where it supports repeatable art direction rather than merely exposing another request setting.
Pricing
| Billing basis | Price |
|---|---|
| Per request | $0.040000 |
When to Use
| ✅ Good fit | ❌ Consider alternatives |
|---|---|
| Use it when balanced text-to-image generation for general creative production is the central production goal | Choose a different model when the required media task is fundamentally different |
| The team needs several reviewable creative alternatives | Exact deterministic reproduction is mandatory |
| Visual quality and practical downstream use both matter | Editable source layers or native project files are required |
| A managed generation step fits the delivery workflow | A live frame-by-frame interactive editor is essential |
| The documented inputs cover the available source assets | Required source media or controls fall outside the documented fields |
Prompt Guide
State the intended result first, then describe the subject, environment, action, visual treatment, and delivery constraints. Keep instructions concrete, avoid conflicting directions, and change one creative variable at a time when comparing outputs. For source-driven work, describe what should remain recognizable as clearly as what should change.
{
"prompt": "A lone figure stands on the edge of a serene cliff at sunset, gazing out over a vast, mystical valley. The figure is clad in flowing robes that ripple in the gentle breeze, silhouetted against the golden and lavender hues of the sky. Below, a cascading waterfall pours into a sparkling river winding through a forest of bioluminescent trees. The scene blends the awe of nature with a touch of otherworldly wonder, inviting reflection and imagination."
}
Technical Specs
| Property | Details |
|---|---|
seed | Type / options: integer · 0–2147483647<br>Required: No<br>Description: The same seed and the same prompt given to the same version of the model will output the same image every time. |
medium | Type / options: string · photography / art<br>Required: No<br>Description: Which medium should be included in your generated images. This parameter is optional. |
prompt | Type / options: string<br>Required: Yes<br>Description: The prompt you would like to use to generate images. |
guidance | Type / options: array<br>Required: No<br>Description: Guidance images to use for the generation. Up to 4 guidance methods can be combined during a single inference. |
aspect_ratio | Type / options: string · 21:9 / 16:9 / 3:2 / 4:3 / 5:4 / 1:1 / 4:5 / 3:4 / 2:3 / 9:16<br>Required: No<br>Description: The aspect ratio of the generated image. |
guidance_scale | Type / options: number · 0–20<br>Required: No<br>Description: Request option |
prompt_enhancement | Type / options: boolean<br>Required: No<br>Description: When set to true, enhances the provided prompt by generating additional, more descriptive variations, resulting in more diverse and creative output images. |
num_inference_steps | Type / options: integer · 20–50<br>Required: No<br>Description: Request option |
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