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Unlimited Videos ARE HERE ยท Nano Banana 2 & GPT Image 2.0 UNLIMITED UNTIL June 25Upgrade
  1. Collection
  2. Text to Image
  3. Riverflow V2.5 Pro

Generate Scored 4K Images with Riverflow v2.5 Pro

Riverflow v2.5 Pro is a text-to-image model built for situations where a single roll of the dice isn't good enough. Instead of generating one image and hoping it lands, it reasons across multiple candidate outputs and scores each one before returning the best. That matters when the brief is precise, the client is particular, or you simply can't afford to iterate all afternoon. The model accepts a plain-text instruction, then applies adjustable thinking effort (low through extra-high) to decide how much reasoning to invest per generation. You can supply a scoring rubric with up to eight weighted dimensions, so the model picks the winner by your criteria, not a generic quality guess. Output lands in WebP, PNG, or JPG at 1K, 2K, or 4K resolution, with aspect ratios spanning square to ultra-wide. Drop it into any image-production workflow where consistency matters: product photography, social content at scale, or concept proofing for design teams. Feed it reference images for img-to-img editing and keep the background original, transparent, or a solid hex color of your choice. Set your thinking level, write your instruction, and run it.

Official

Sourceful

306 runs

Riverflow V2.5 Pro

2026-06-10

Commercial Use

Generate Scored 4K Images with Riverflow v2.5 Pro

Table of contents

  • Overview
  • How It Works
  • Frequently Asked Questions
  • Credit Cost
  • Features
  • Use Cases
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Overview

Riverflow v2.5 Pro is a text-to-image model built around a reasoning loop that evaluates multiple image candidates before returning one. If you've ever had a generator produce something that looked nothing like your prompt, this model addresses that problem at the source. Instead of generating blindly, it scores its own outputs against your instruction and picks the best match. You can control how much reasoning it applies, from a quick pass to a deep evaluation, depending on the precision your project needs. On Picasso IA, the whole process runs through a clean interface with no coding required.

How It Works

  • Write an instruction describing the image you want, including subject, style, mood, or composition details.
  • Choose a thinking level (low, medium, high, or xhigh) to set how deeply the model reasons before generating. Higher levels take more time but produce closer matches to detailed prompts.
  • Optionally upload reference images to guide the output, carry visual elements across, or run image-to-image edits with up to 10 references at once.
  • Set your aspect ratio from 11 presets (1:1 square to 21:9 ultra-wide), target resolution (1K, 2K, or 4K), and output format (WebP, PNG, or JPG).
  • Submit and wait. The model scores its candidate images against your prompt, then returns the one that ranks highest.

Frequently Asked Questions

Do I need programming skills or technical knowledge to use this? No, just open Riverflow v2.5 Pro on Picasso IA, adjust the settings you want, and hit generate.

Is it free to try? Picasso IA gives you access to Riverflow v2.5 Pro without installing anything or writing code. Check the pricing section for details on credits and generation limits.

How long does it take to get results? It depends on your thinking level. At low, results come back in seconds. At xhigh, the model runs more internal scoring passes before committing to an output, which takes longer but tends to match complex prompts more precisely.

What output formats are supported? You can download finished images as WebP, PNG, or JPG. WebP is the default and keeps file sizes small without visible quality loss. Choose PNG when you need lossless output or a clean transparent background.

Can I customize the output quality or style? Yes. Resolution goes up to 4K, aspect ratio covers 11 presets from portrait to ultra-wide, and you can set background handling to original, transparent, or a solid color. You can also write a scoring rubric to define exactly what counts as a good result for your specific project.

What happens if I'm not happy with the result? Add more specific detail to your instruction, raise the thinking level, or upload a reference image to anchor the output closer to what you have in mind. Tightening your scoring rubric, if you've set one, usually produces more targeted results on the next run.

How many times can I run the model? As many times as your credits allow. Each generation counts as one run, and the thinking level you choose affects how much compute each generation uses.

Credit Cost

Each generation consumes 4 credits

4 credits

or 20 credits for 5 generations

Features

Everything this model can do for you

Multi-step reasoning

Evaluates multiple image candidates internally before returning the result that best fits your instruction.

Custom scoring rubric

Define up to eight weighted dimensions so the model picks the winner by your specific criteria, not a generic measure.

Adjustable thinking effort

Choose from four thinking levels (low, medium, high, extra-high) to balance speed against output precision.

Up to 4K resolution

Output images at 1K, 2K, or 4K with eleven aspect ratios from 21:9 widescreen to 9:16 portrait.

Image-to-image editing

Upload up to ten reference images and write an instruction to modify, restyle, or recompose them.

Background control

Set the output background to original, transparent, or a solid hex color to match your production requirements.

Font rendering

Supply up to two custom font files with matching text strings to print styled typography directly into the image.

Use Cases

Generate a product photo on a transparent background by writing a single instruction describing the item, angle, and lighting you want

Score multiple image candidates against a custom rubric with weighted dimensions like sharpness, brand color match, and composition to automatically receive the top result

Edit an existing photo by uploading it as an init image and writing an instruction that changes the background, style, or specific elements

Create social media visuals at 9:16 or 16:9 aspect ratios in 2K or 4K resolution from a text description, with no manual cropping needed

Produce logo-ready images by specifying a solid hex background color and requesting clean, flat results

Iterate on a concept quickly by setting thinking level to low for fast drafts, then switching to high for a final polished version

Apply custom typography to generated images by uploading font files and specifying the text strings you want rendered in that font

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