Reve 2.1 Text-to-Image API by REVE AI

Reve 2.1 — Text to Image (Create)

Developer: Reve AI Model ID: reve-ai/reve-2.1/text-to-image Release Date: July 9, 2026

Overview

Reve 2.1 turns a natural-language prompt into a sharp, production-ready image at native 4K. Rather than going straight from words to pixels, Reve treats an image as a structured set of regions — an "image as code" approach in which the model first reasons about layout, hierarchy, and the spatial relationships between elements, and only then renders. This layout-first design gives it strong prompt adherence, coherent complex scenes, and notably reliable in-image text.

This text-to-image variant is the pure generative entry point to Reve 2.1: the only creative input is your text prompt. It is the model to reach for when you are producing an image from scratch, with no reference image to edit or remix.

The Reve 2.1 Model

Reve 2.1 is an update to Reve's flagship image model that sharpens the model's visual intelligence — how well it reasons about structure, hierarchy, and spatial relationships before rendering. On public leaderboards it ranks second overall while using less than a tenth of the compute of the models ranked around it, and it remains the top-rated 4K image generator.

Its foundation is a "large layout model." Images are represented as structured regions that can be reasoned about much like code, which means controllability is built into the model's visual intelligence rather than bolted on afterward. Practical consequences of this design include:

• Higher visual intelligence — the model plans in finer detail and reasons more accurately about how elements relate to one another.
• Native 4K output — full 16-megapixel images (4096 × 4096 class) with sharp edges and preserved texture, generated directly rather than through an upscaling step.
• Stronger text rendering — improved legibility and extended multilingual support, including foreign scripts.
• Dense, complex scenes — intricate structural detail holds together even in crowded compositions.

Key Capabilities

• Layout-first generation — Every image is planned as a structured layout of objects, text, and regions, giving precise control over composition, positioning, and the relationships between elements in complex scenes.
• Best-in-class typography — Signs, labels, posters, packaging copy, and logos stay legible, correctly spelled, and placed in the right perspective, across multiple languages and scripts.
• High prompt adherence — Faithfully interprets long, detailed prompts (up to 2,560 characters) and reliably composes multi-element scenes. Prompts are automatically enhanced by the model.
• Native 4K, no upscaling — Renders true 16-megapixel images directly, holding fine detail at full size.
• Flexible aspect ratios — From ultra-wide (4:1) to tall (1:4), or auto to let the model choose.
• Built-in post-processing — Apply background removal and a large library of stylistic effects (textures, light, and color) directly in the same request.

Input

The only creative input for this model is the text prompt — a natural-language description of the desired image (up to 2,560 characters, automatically enhanced by the model). No input image is required or accepted; if you want to modify an existing image, use reve-ai/reve-2.1/edit (single image) or reve-ai/reve-2.1/remix (multiple images). The remaining fields below control aspect ratio, output format, and optional post-processing.

Input Parameters

Output

Returns the generated image, either as a URL or — when enable_base64_output is enabled — as a Base64-encoded string. By default the request is asynchronous: the response provides a request ID that can be polled until the image is ready. Enabling sync mode returns the finished image directly.

Output formats: PNG, JPEG, WebP. Resolution: native 4K (~16 megapixels).

Use Cases

• Marketing & advertising — Campaign visuals, social assets, and promotional imagery with accurate on-image text.
• Brand & packaging design — Posters, labels, and signage that require legible, correctly spelled typography.
• Editorial & concept art — Cinematic, richly detailed scenes for publishing and storytelling.
• E-commerce — Product and lifestyle imagery, optionally with transparent backgrounds.
• Agentic pipelines — Programmatic image generation where an agent or workflow calls the model directly without a human in the loop.

Pricing

Pricing for this model is driven by what each request actually uses. Every request generates one native-4K image at a fixed base price; optional post-processing (background removal and stylistic effects) adds to the total. There is no separate resolution or upscaling charge, because 4K is generated natively.

SKUs

Formula

cost = sku_image
     + sku_remove_background_mp × 16 × (remove_background ? 1 : 0)
     + sku_effect × number_of_effects

• Base image — every request includes one sku_image charge of $0.24.
• Background removal — when remove_background is enabled, it is billed across the full 16 megapixels of the 4K image: 0.0036 × 16 = $0.0576. When disabled, this term is $0.
• Effects — each effect in the effects list adds one sku_effect charge of $0.0048; an empty list adds nothing.

Examples

A plain generation with no post-processing costs the base $0.24. Background removal and each stylistic effect are the only add-ons, so leaving both untouched yields the base price.