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{{name}} · Ikomia SCALE

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Next-generation Computer Vision algorithms, for your eyes only.

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Ready to use and editable Computer Vision algorithms from your favorite frameworks.

Ikomia HUB

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{{username}} · Ikomia SCALE

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Ikomia API is an open-source API to train, test, and build reusable Computer Vision workflows. You can select and chain the best state-of-the-art algorithms from your preferred frameworks such as OpenCV, Detectron2, OpenMMLab or YOLO.

Reusable Computer Vision workflows in a few lines of code.

Ikomia API

Ikomia CLI is a command line interface to manage and deploy your Computer Vision project. It allows you to create, build and run workflows right from the command line.

Manage and deploy your Computer Vision project from the command line.

Ikomia CLI

Tools · Ikomia Docs

Ikomia STUDIO is a simple drag-and-drop User Interface to prototype Computer Vision solutions. With its double window, you can watch the effects of your treatments in seconds.

Using the command line

Or download Linux Installer

Desktop prototyping app for Computer Vision.

Ikomia STUDIO

Download Windows Installer

Install Ikomia tools and start building Computer Vision solutions in a more scalable manner.

Ikomia tools

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Don't forget to check out our quick start guide to quickly get acquainted with our application and start enjoying its benefits.

If you have any questions, concerns, or need assistance, please do not hesitate to contact us at support@ikomia.ai. Our team is here to assist you every step of the way.

Thank you for being a part of Ikomia SCALE! We are excited to accompany you on your journey and help you achieve your goals.
Best regards,

The Ikomia SCALE Team

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infer_kandinsky_2_inpaint

Kandinsky 2.2 inpainting diffusion model.

infer_kandinsky_2

Kandinsky 2.2 text2image diffusion model.

infer_kandinsky_2_img2img

Kandinsky 2.2 image-to-image diffusion model.

infer_kandinsky_2_image_mixing

Kandinsky 2.2 image mixing diffusion model.

infer_kandinsky_2_controlnet_depth

Kandinsky 2.2 controlnet depth diffusion model.

Private HUB

Workspace

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