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MODEL ID sourceful:riverflow-2.5@pro
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Riverflow 2.5 Pro

Sourceful
by Sourceful

Riverflow 2.5 Pro is the higher-capability variant in Sourceful's Riverflow 2.5 family. It supports both text-to-image and image-to-image workflows and is positioned for commercial visual work that needs stronger output quality, tighter brand control, and more dependable production results across packaging, product imagery, advertising, and design-heavy creative pipelines.

Riverflow 2.5 Pro

API Options

Platform-level options for task execution and delivery.

taskType

string required value: imageInference

Identifier for the type of task being performed

taskUUID

string required UUID v4

UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.

outputType

string default: URL

Image output type.

Allowed values 3 values

outputFormat

string default: JPG

Specifies the file format of the generated output. The available values depend on the task type and the specific model's capabilities.

  • `JPG`: Best for photorealistic images with smaller file sizes (no transparency).
  • `PNG`: Lossless compression, supports high quality and transparency (alpha channel).
  • `WEBP`: Modern format providing superior compression and transparency support.
**Transparency**: If you are using features like background removal or LayerDiffuse that require transparency, you must select a format that supports an alpha channel (e.g., `PNG`, `WEBP`, `TIFF`). `JPG` does not support transparency.
Allowed values 3 values

outputQuality

integer min: 20 max: 99 default: 95

Compression quality of the output. Higher values preserve quality but increase file size.

webhookURL

string URI

Specifies a webhook URL where JSON responses will be sent via HTTP POST when generation tasks complete. For batch requests with multiple results, each completed item triggers a separate webhook call as it becomes available.

Learn more 1 resource

deliveryMethod

string default: sync

Determines how the API delivers task results.

Allowed values 2 values
Returns complete results directly in the API response.
Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse.
Learn more 1 resource

uploadEndpoint

string URI

Specifies a URL where the generated content will be automatically uploaded using the HTTP PUT method. The raw binary data of the media file is sent directly as the request body. For secure uploads to cloud storage, use presigned URLs that include temporary authentication credentials.

Common use cases:

  • Cloud storage: Upload directly to S3 buckets, Google Cloud Storage, or Azure Blob Storage using presigned URLs.
  • CDN integration: Upload to content delivery networks for immediate distribution. 
// S3 presigned URL for secure upload
https://your-bucket.s3.amazonaws.com/generated/content.mp4?X-Amz-Signature=abc123&X-Amz-Expires=3600

// Google Cloud Storage presigned URL
https://storage.googleapis.com/your-bucket/content.jpg?X-Goog-Signature=xyz789

// Custom storage endpoint
https://storage.example.com/uploads/generated-image.jpg

The content data will be sent as the request body to the specified URL when generation is complete.

safety

object

Content safety checking configuration for image generation.

Properties 2 properties
safety » checkContent

checkContent

boolean default: false

Enable or disable content safety checking. When enabled, defaults to fast mode.

safety » mode

mode

string default: none

Safety checking mode for image generation.

Allowed values 2 values
Disables checking.
Performs a single check.

ttl

integer min: 60

Time-to-live (TTL) in seconds for generated content. Only applies when outputType is URL.

includeCost

boolean default: false

Include task cost in the response.

numberResults

integer min: 1 max: 20 default: 1

Number of results to generate. Each result uses a different seed, producing variations of the same parameters.

Inputs

Input resources for the task (images, audio, etc). These must be nested inside the inputs object.
inputs » referenceImages

referenceImages

array of strings min items: 1max items: 10

List of reference images (UUID, URL, Data URI, or Base64).

inputs » fonts

fonts

array of objects max items: 2

Font references containing a font URL and the text to render.

Properties 2 properties
inputs » fonts » text

text

string required min: 1

Text to render with this font.

inputs » fonts » url

url

string required URI

Font file URL. Must be ttf, otf, woff, or woff2.

Core Parameters

Primary parameters that define the task output.

model

string required value: sourceful:riverflow-2.5@pro

Identifier of the model to use for generation.

positivePrompt

string required min: 2

Text prompt describing elements to include in the generated output.

width

integer required* paired with height

Width of the generated media in pixels.

height

integer required* paired with width

Height of the generated media in pixels.

resolution

string default: 1K

Resolution preset for the output. When used with input media, automatically matches the aspect ratio from the input.

Allowed values 3 values

Settings

Technical parameters to fine-tune the inference process. These must be nested inside the settings object.
settings » backgroundColor

backgroundColor

string

Hex color composited when backgroundMode is solid.

settings » backgroundMode

backgroundMode

string default: original

Background handling mode for the final output.

Allowed values 3 values
Keep the original background.
Remove the background for a transparent result.
Replace the background with a solid color.
settings » enhancePrompt

enhancePrompt

boolean default: false

Enhance the prompt with use-case context before generation.

settings » scoringPrompt

scoringPrompt

string min: 1

Free-text quality rubric used when scoring candidate outputs.

settings » scoringRubric

scoringRubric

array of objects min items: 1max items: 8

Controlled scoring dimensions that replace the default sub-score dimensions for the requested flow.

Properties 6 properties
settings » scoringRubric » key

key

string required

Unique machine-readable dimension key.

settings » scoringRubric » label

label

string required min: 1 max: 80

Short human-readable dimension label.

settings » scoringRubric » description

description

string required min: 1 max: 1000

Judging criteria for this score dimension.

settings » scoringRubric » weight

weight

float required

Scoring weight. Normalized internally, so weights need not sum to 1.

settings » scoringRubric » passingScore

passingScore

float min: 0 max: 1

Minimum score this dimension must reach.

settings » scoringRubric » scoreGuidance

scoreGuidance

array of objects max items: 5

Scoring anchors that define what the normalized scale means.

Properties 2 properties
settings » scoringRubric » scoreGuidance » score
score
float required min: 0 max: 1

Normalized score anchor.

settings » scoringRubric » scoreGuidance » description
description
string required min: 1 max: 500

What this score anchor means for the judge.

settings » thinkingLevel

thinkingLevel

string default: medium

Controls the depth of internal reasoning the model performs before generating a response.

Allowed values 4 values
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