Depix
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About
Depix Technologies offers AI tools and APIs for designers and marketers to create, iterate, and convey ideas and products. It focuses on high-value workflows in design and development, reducing revision cycles and enhancing creativity. Key products include Depix DesignLab, Scene Change, Style Transfer, HDR Pano Maker, and One-click render. Depix helps accelerate design timelines, optimize iterative processes, and enhance creativity while ensuring secure and confidential image creation.
Platform
Task
Features
• secure and confidential
• hdri’s for rendering
• explore product variations
• product localization
• tools and api for designers and marketers
• enhance creativity and innovation
• optimize iterative processes
• accelerate design timelines
FAQs
In what ways can Depix Design Lab be deployed at our facility?
1. Local installation on Windows Workstation (per user) - accessed via web browser on the desktop. 2. Local deployment on Windows Server/Linux server (in on premises server room) - accessed via browser on the internal networks 3.
Which deployment is best for my company?
We can deploy in a number of ways as indicated above. Right now our recommendation would be to do an on premise iinstallation on Windows Server or Linux that resides on your internal local network that can be accessed remotely by your users via web browser.
What web browsers are supported?
Design Lab is supported on Mac and PC with Google Chrome, Firefox, Microsoft Edge. Safari is not supported at this time.
What operating systems are supported?
Operating System Windows: 10, 11, Server 2022, Server 2019 Linux: Ubuntu Server 22.04 LTS, Amazon Linux 2
If we increase the RAM or GPU VRAM, does that affect the speed of rendered results? Are there any support limits?
RAM does not have a significant impact on the speed of rendering. Increasing the VRAM in the GPU can speed up the generation process. Additionally, the type of GPU also plays a role in the generation speed.
What is the recommended hardware configuration for Depix Design Lab?
Since Design Lab uses an AI inference engine, the latest Nvidia graphics cards that support AI are the best.
What’s needed to support 100 users?
The AI image generation process used by Depix requires a max of 16 GB VRAM per generation. Adding a second GPU means that training processes will be distributed to the second card, leaving the first for image generation.
How can AI models be developed on historical data?
Enhancing the base foundational model with your data is highly recommended. By gathering images of particular models, years, designers, or other categories, images need to be sorted, categorized, and labeled with as much detail in the metadata as possible
What types/categories of images can be used to tune/train the AI models?
Item descriptionClinic images 1. Project milestone images 2. Design sketches (interior/exterior) 3. Individual designers work 4. Concept show cars 5. Images of elements with particular brand characteristics
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