The Reve API is the image-generation and editing interface behind Reve’s visual intelligence platform. With the Reve 2.1 API, businesses can generate and edit high-resolution images using a novel layout-based representation where images are structured into hierarchical, editable regions. This layout model enables precise control over content—changes to individual parts of an image don’t require re-rendering the whole scene. Reve 2.1 delivers all image output at native 4K resolution (4,096×4,096), which supports professional-grade workflows in marketing, design, film production, and any context demanding high-fidelity visuals.
Key Features
- Ready-to-use endpoints: Simple REST API endpoints for creating and editing images. Users send prompts or uploaded images plus instructions and receive full renders without needing complex setup.
- Full layout control: Experimental endpoints allow separation of layout creation, editing, and rendering. This enables surgical edits (by region), batch variation rendering, and efficient reuse of layouts.
- Native 4K output: All image generations produce output at full 4K resolution with no upscaling, maintaining sharp detail and texture even under scrutiny.
- Consistent style and content reference: Ability to maintain visual coherence across images — whether for brand consistency, text rendering quality, or style continuity. Foreign scripts are supported with greater precision in Reve 2.1.
- Agent-native tools: A skill.md file exposes internal layout information for coding agents, enabling automated workflows or tools that can “read” and manipulate image structure programmatically.
Who is it for?
Reve API is tailored for business owners, creative professionals, and technical decision-makers who need:
- High-resolution image generation with fine control over content. Brands, marketing teams, and design studios benefit from native 4K and layout-based editing for consistent, high-quality visuals.
- Integration into existing pipelines. The REST-style API works across platforms and tools, supporting scalable designs, edition automation, and agent-augmented workflows.
- Precise editing capabilities. Advertising, real estate, and film sectors where objects, typography, or small regions in scenes need to be adjusted independently will find the layout model especially useful.
- Volume-based usage with flexible cost per image. Developers or businesses embedding image-generation into products or services will appreciate the usage-based credit model to scale according to needs.
Pricing
- Consumer subscription plans (for individuals using the Reve app):
- Free plan: Basic creative energy refreshed daily, includes test allowance, but by default opted into model training.
- Lite: $7.99/month. Offers 5× the Free tier’s energy, higher storage, and an opt-out of model training.
- Pro: $19.99/month. Includes 100× Free energy, video generation capacity, increased storage, and privacy control.
- API usage-based model (for developers or enterprise workflows):
- Access begins with a minimum credit purchase (about $10) for 7,500 credits.
- The newer layout-native v2 Create or Edit endpoints cost around 150 credits per image (approximately $0.20 each).
- Legacy “Fast” endpoints cost far less (~5 credits, about $0.007 per image) but do not include the layout reasoning features.
- Optional add-ons—like upscaling or advanced rendering parameters—incur additional credit costs.
Costs depend heavily on volume, endpoint choice, and whether layout control is required.
Final thoughts
The Reve API offers a compelling combination of image quality, structural control, and pricing flexibility. Its 4K output and layout-based representation distinguish it in a crowded space of image-generation tools, particularly for workflows where detail, branding, or precise edits matter. For consumer users, the subscription tiers provide clear options depending on frequency, privacy, and video needs. For developers and enterprises, the credit-based API ensures you pay according to usage, but endpoint choice becomes a critical lever for controlling costs.
Businesses considering Reve should weigh whether fine-grained layout control is essential for their visual assets, as this drives use of the higher-priced endpoints. If the project demands high resolution, consistency, and the ability to tweak specific elements often, Reve’s API is well suited. If instead simpler images or large volumes at minimal per-image cost are enough, then more basic endpoints or alternate tools might be more economical. In any case, Reve provides a robust, production-ready option for organizations that view image generation as part of their core creative or product infrastructure.
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