Sourceful Riverflow 2.0 Pro is an agentic image model optimized for robust, high-precision text-to-image generations. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Idle

$0.135per run·~74 / $10

A street portrait of a teenage skateboarder. Sitting on graffiti-covered steps holding his board, clothes slightly dirty, rebellious expression. Urban concrete buildings in the background. Late afternoon sunlight, raw photo style, authentic, gritty.

A candid street photograph of rainy Tokyo night in Shinjuku, wet asphalt reflecting neon signs. A pedestrian holding a clear umbrella walks by, cinematic bokeh in background, film grain, Kodachrome film stock, natural light, highly detailed, 8k.

A detailed close-up portrait of an old fisherman with weathered, wrinkled skin and determined eyes. Wearing a worn wool beanie and oilskin jacket. Stormy sea and overcast sky in the background. Natural light, National Geographic photography style, raw texture, sharp focus.

Studio Ghibli inspired anime illustration. Green rolling hills with tall grass blowing in the gentle breeze. A small house with a red roof, massive cumulonimbus clouds in a blue sky. Watercolor texture, hand-drawn feel, soothing pastel colors, peaceful atmosphere.
Riverflow 2.0 Pro is a premium text-to-image generation model that creates photorealistic and highly detailed images from text descriptions. With resolution options up to 4K, extensive aspect ratio support, and optional transparent background, it delivers professional-grade visuals for demanding creative workflows.
Ultra-high resolution Generate images at 1K, 2K, or 4K for stunning clarity and detail.
Extensive aspect ratios 10 preset options including ultra-wide 21:9, standard 16:9, square 1:1, and portrait 9:16.
Transparent background Optional transparency support for compositing and design workflows.
Photorealistic quality Excels at natural textures, lighting, and National Geographic-level photography.
Prompt Enhancer Built-in tool to automatically improve your image descriptions.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the image you want to generate |
| resolution | No | Output resolution: 1K (default), 2K, 4K |
| aspect_ratio | No | Output ratio: 1:1, 21:9, 16:9, 3:2, 4:3, 5:4, 4:5, 3:4, 2:3, 9:16 |
| transparency | No | Enable transparent background (default: disabled) |
| Resolution | Cost per image |
|---|---|
| 1K | $0.135 |
| 2K | $0.135 |
| 4K | $0.297 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/sourceful/riverflow-2.0-pro/text-to-image with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Riverflow 2.0 Pro Text To Image below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/sourceful/riverflow-2.0-pro/text-to-image" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"resolution": "1k",
"aspect_ratio": "1:1",
"transparency": false
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("sourceful/riverflow-2.0-pro/text-to-image", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"resolution": "1k",
"aspect_ratio": "1:1",
"transparency": false
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"sourceful/riverflow-2.0-pro/text-to-image",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"resolution": "1k",
"aspect_ratio": "1:1",
"transparency": false
}
)
print(output["outputs"][0]) # → URL of the generated outputRiverflow 2.0 Pro Text To Image is a Sourceful model for image generation, exposed as a REST API on WaveSpeedAI. Sourceful Riverflow 2.0 Pro is an agentic image model optimized for robust, high-precision text-to-image generations. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/sourceful/sourceful-riverflow-2.0-pro-text-to-image.
Riverflow 2.0 Pro Text To Image starts at $0.14 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `aspect_ratio`, `resolution`, `transparency`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/sourceful/sourceful-riverflow-2.0-pro-text-to-image.
Average end-to-end generation time on WaveSpeedAI is around 192 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (Sourceful). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.