reve2img

Reve 2.0 AI is a browser-based image-generation and editing service. Users can enter a prompt or upload a reference image, configure output settings, generate images, and download high-definition results. The service also provides an API for asynchronous generation workflows.

What it does

Reve2img supports prompt-based image creation and reference-image workflows. Its website describes controls for aspect ratio, image size, output count, and quality. Vendor-described editing capabilities include changing subjects, backgrounds, product details, lighting, text placement, and overall composition.

The service also presents layout planning for objects, spacing, text, and relationships, along with native 4K output. Its stated text-rendering use cases include posters, labels, signs, and packaging. The site lists product visuals, graphic design, image editing, thumbnails, covers, packaging mockups, cinematic stills, and architectural visuals as example applications.

Who it helps

The tool is aimed at people who need generated or edited visuals for product presentation, design work, marketing imagery, packaging concepts, social or video thumbnails, and visual development. It may also fit teams that need both a browser interface for manual creation and an API for submitting image or video-generation tasks programmatically.

Notable capabilities

• Prompt input and reference-image upload for image generation and editing.
• Configurable aspect ratio, image size, output count, and quality settings.
• Vendor-described native 4K image output and high-definition downloads.
• Iterative edits covering subjects, backgrounds, lighting, product details, text placement, and composition.
• Text rendering for designs such as posters, labels, signs, and packaging.

How it fits a workflow

In the web app, a user can provide a prompt or reference image, choose generation settings, and download the resulting images. For automated use, the documented API accepts a request, returns a task ID, and uses status polling before exposing hosted result URLs. It uses Bearer authentication and is described as sharing the web application’s models and credit balance.

The API catalog includes Reve 2.0, Nano Banana, Nano Banana Pro, and Seedream 5 for images, as well as video models including Kling 3.0, Omni Video, and Grok Imagine. These listings show that reve2img operates as a multi-model service; they do not establish that it publishes each named model.

Strengths and limits

The service combines image generation, reference-based editing, configurable exports, and text-focused design workflows in one interface. Its API can support queued or asynchronous production rather than requiring a synchronous response. Pricing is credit-based, with Starter, Premium, and Advanced plans offering monthly or annual options; the site states that subscription credits reset each billing cycle, while one-time credit packs do not expire. Plans may include API access, concurrency limits, 4K export, history, reference-image workflows, and commercial-use licensing, depending on the selected offering. The site does not identify a separate legal company name in the publisher pages referenced here, so organizational attribution is limited.