Krea 2 Large
Neural Network
Krea 2 Large is an image generation model by Krea for tasks requiring textured and flexible images from text descriptions.
Specifications
- Input
- text, images
- Output
- images
- Resolution
- 1K, 2K, 4K
- Aspect ratio
- 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 16:9, 9:16, 21:9
How it works Krea 2 Large?
Krea 2 Large is Krea's flagship image generation model: it is more than twice the size of Krea 2 Medium, and its lightweight post-training preserves a raw, textured output and stylistic flexibility. Through BotHub, you can use it from Russia without a VPN or foreign card, pay in rubles for actual usage rather than a subscription, and switch between Krea 2 Large and other models in one window—on the website or in the Telegram bot. Teams and developers have access to a unified OpenAI-compatible API, data encryption, and corporate terms: contracts, invoices, electronic document management, and an admin panel with limits. Designers create mood boards and concept art from text descriptions, marketers prepare visuals for banners and social media, illustrators look for textures and unique styles, and product teams prototype visual language before shoots and working with contractors.Frequently asked questions about Krea 2 Large
You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.
This is a generative image model from Krea. It creates images from text descriptions and supports image-to-image mode, meaning it can redraw and refine uploaded images. It is suitable for concepts, advertising visuals, illustrations, previews, mood boards, and variations based on references.
You receive a finished raster image as output. Specific resolutions and aspect ratios depend on request parameters, so check the technical header of the page for exact values. It is convenient to adjust detail through iterations: generate, refine the prompt or add a reference, and repeat.
A separate step-by-step reasoning mode is not indicated in our data: this is a visual model, not a text reasoner. If you need a chain of logic, think through the scenario in a reasoning model in the same BotHub window, then pass the finished prompt here.
Function calling and structured output are not indicated for this model in our data — its task is to output images. For orchestration, it is convenient to use the unified BotHub OpenAI-compatible API: a text model handles logic and JSON, and you call the image generation as a separate step.
Images — yes, this is image-to-image mode: you provide a reference or source frame and describe what to change while preserving composition or style. The model does not accept audio or video as input; for such tasks, BotHub has separate audio and video models.
We do not have exact data on prompt languages, so we cannot make any promises. A practical tip: describe the scene as specifically as possible — object, angle, light, style, background. If the result does not match your vision, rephrase the prompt or add an image reference.