Reve Image

Reve builds a structured plan of the image before rendering it. Objects, their positions, and the relationships between them get defined first, so the model stays coherent and you get a handle for editing. This design is what separates Reve from models that go straight from prompt to pixels.

You change an image by describing what you want, not by masking it by hand. Ask to recolor an object, move it, or rewrite its label, and the model applies the edit to that element alone. For anyone who has fought with layer masks, this image editing with text cuts a long cleanup loop down to a sentence.

The renderer outputs images at 4K by 4K, roughly 16 megapixels, without a separate upscaling pass. That matters because upscaling can quietly shift details you already approved. Working at full resolution means what you see during editing is what you print or post.

Text inside an image is where most generators stumble. Reve plans layout and spacing before rendering, so lettering, signs, labels, and menus land closer to where they should. It makes the tool useful for logos, packaging, and anything where words are part of the design.

Repeated edits tend to degrade images as artifacts pile up. Reve resists that two ways: image references stay more stable across long edit chains, and generations built from a code plan can lock their elements, so you can keep refining without the picture falling apart.

Reve has leaned into a cinematic, photojournalistic look since its first preview. At 16MP the lighting and depth read as more natural, and fine detail shows up when you zoom in. The result feels closer to a photo than the over-smoothed output older models were known for.

Beyond straight generation, Reve supports brainstorming ideas in chat and uploading reference images, PDFs, or audio as context on higher plans. That turns it into a workspace for developing an idea, not just a one-shot image box.