Sourceful · Photo

Riverflow 2.0 Pro Text-to-Image

Images from text

Sourceful Riverflow 2.0 Pro is an agentic image model optimized for robust, high-precision text-to-image generations.

from€0.30per render
Use in Genlaxy →

Examples

Riverflow 2.0 Pro Text-to-Image: A street portrait of a teenage skateboarder. Sitting on graffiti-covered steps holding his board, clothes slig
Prompt

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.

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Riverflow 2.0 Pro Text-to-Image: A candid street photograph of rainy Tokyo night in Shinjuku, wet asphalt reflecting neon signs. A pedestrian h
Prompt

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.

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Riverflow 2.0 Pro Text-to-Image: A detailed close-up portrait of an old fisherman with weathered, wrinkled skin and determined eyes. Wearing a
Prompt

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.

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Riverflow 2.0 Pro Text-to-Image: Studio Ghibli inspired anime illustration. Green rolling hills with tall grass blowing in the gentle breeze. A
Prompt

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.

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Specs

Typetext-to-image
OutputPhoto
InputText
Model IDsourceful/riverflow-2.0-pro/text-to-image

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Prices are per render and charged from your balance only when a render succeeds. Failed renders are refunded automatically. Examples show what the model can do; your result depends on your prompt and settings.