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  2. Text to Image
  3. Riverflow 2.0 Fast

Riverflow 2.0 Fast: Text-to-Image with Font Control

Riverflow 2.0 Fast is a text-to-image model built for creators who need clean, typography-aware visuals without extra post-processing. It reads your prompt and any custom font you supply, then generates an image where the text appears in the correct typeface from the first pass. That means no switching to a design tool just to add a title, label, or branded headline. It supports up to two custom fonts per generation, so you can match a brand identity or personal style in one step. Resolution goes up to 2K, and you can pick from a wide range of aspect ratios to fit social media posts, banners, or print formats. Transparent backgrounds let you drop the result straight into another composition without cutting out anything manually. In practice, you write a brief instruction, attach a font file if you have one, pick your resolution and aspect ratio, and hit generate. There is no setup, no design experience needed, and no queue to manage. If the first result needs refinement, you can run up to three internal reasoning passes to sharpen the output before it is delivered.

Official

Sourceful

3.2k runs

Riverflow 2.0 Fast

2026-01-30

Commercial Use

Riverflow 2.0 Fast: Text-to-Image with Font Control

Table of contents

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

Riverflow 2.0 Fast is a text-to-image model built for speed without compromising output quality, and it includes something most generators skip: native font control. If you need a specific typeface inside a generated scene, a product label, a poster headline, a social graphic that uses your brand font, this model places it in a single pass. On Picasso IA, you upload your font files, pair them with the text you want rendered, and get a finished image without a separate editing step. Whether you are working from a prompt alone or refining an existing photo, the iteration loop stays short.

How It Works

  • Write a generation instruction describing the image you want, or describe an edit if you are supplying a reference photo.
  • Optionally upload up to two font files (TTF, OTF, WOFF, or WOFF2) and type the text strings you want placed inside the image in those fonts.
  • Choose an aspect ratio from a preset list (1:1, 16:9, 9:16, and more) or set it to auto, then pick 1K or 2K resolution.
  • Add up to four super-resolution reference images if you want fine details in the output to match a specific source.
  • Hit generate and receive a clean WebP or PNG file, with optional transparent background support for assets that need to layer over other designs.

Frequently Asked Questions

Do I need programming skills or technical knowledge to use this? No, just open Riverflow 2.0 Fast on Picasso IA, adjust the settings you want, and hit generate.

Is it free to try? Yes, you can run Riverflow 2.0 Fast without a paid account. Check the current plan details on Picasso IA for generation limits and available tiers.

How long does it take to get results? Most generations complete in a few seconds at 1K resolution. Running at 2K or increasing the internal reasoning iterations adds some time, but the model is specifically optimized for fast turnaround.

Can I embed my own fonts inside the generated image? Yes. Upload up to two font files in TTF, OTF, WOFF, or WOFF2 format, specify the text string for each, and the model places the text directly inside the image during generation. No post-processing or external editor required.

What output formats are supported? The model outputs WebP by default, with PNG available as an alternative. Both are clean files with no watermarks, suitable for client deliverables or direct publishing.

Can I edit an existing image instead of generating from scratch? Yes. Supply one or more reference images alongside your instruction and the model treats the task as an image-to-image edit, modifying or extending what you provide.

What if my first result is not quite right? Rephrase the instruction, adjust the aspect ratio, or turn on the prompt rewrite option to let the model rephrase your input before generating. You can also raise the internal reasoning iterations (up to 3) for more refined outputs.

Credit Cost

Each generation consumes 1 credit

1 credit

or 5 credits for 5 generations

Features

Everything this model can do for you

Custom font support

Upload up to two font files (TTF, OTF, WOFF, WOFF2) and embed them directly into the generated image.

1K and 2K output

Choose between standard and high-resolution to match your print or digital delivery requirements.

Transparent backgrounds

Generate images with an alpha channel so you can place them over any composition without masking.

Flexible aspect ratios

Pick from ten preset ratios including 16:9, 1:1, and 9:16, or let the model choose automatically.

Image-to-image editing

Upload a reference photo as a starting point and describe the changes you want in plain text.

Prompt refinement

Enable automatic instruction improvement to get richer, more detailed results from short or rough prompts.

Multi-pass reasoning

Run up to three internal iterations so the model can self-correct before delivering the final image.

Clean file output

Download results as PNG or WebP with no watermarks, ready for immediate use in any project.

Use Cases

Generate a social media post graphic where the headline appears in your brand font, specified in a single text prompt

Create a product label mockup with custom typography by uploading a font file and describing the label layout

Produce a transparent-background illustration that you can place directly onto a presentation slide or video overlay

Build a 2K-resolution print-ready visual from a short description for a poster, banner, or packaging concept

Edit an existing image by uploading it as a reference and writing an instruction to change the background or add a visual element

Generate a stylized text treatment where the lettering style is embedded in the image itself, not added in a separate step

Resize the same concept across multiple aspect ratios (16:9, 1:1, 9:16) for multi-platform publishing in a single session

Examples

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