AIWand- Enterprise AI Image Generation Platform

AIWand is a one-stop enterprise AI raw map solution, providing a safe, reliable, and high-performance AI raw image working environment for enterprise users.

KEY VALUES:

1. Unified UI and permission division: Improve the user experience through a unified UI, control the scope of user access through permission control, and achieve user data isolation.
2. Pre-set industry applications: Easily create pre-defined application scenarios in the manufacturing, e-commerce, and gaming industries, and users can more intuitively select models, workflows, and applications to use
3. Efficient storage solution: Provides secure, reliable, and unlimited shared storage space, and supports flexible permission management
4. Excellent cost control: Reduce infrastructure costs through more efficient resource utilization, inference elasticity, and task queuing mechanisms

Program features:

1. Industrialized user interface An intuitive and friendly user interface, with graphical models, graphical workflows, application graphics, and a user-friendly WebUI interface and pre-defined industry application scenarios, give users a figurative user experience, and can clearly carry out quick scenario applications through industry applications, and more accurate usage models, workflows and applications.
2. The creator user separation system uses a logical scenario with separate permissions between the creator and user. The creator uploads the checkpoint model, Lora model, etc. involved in the workflow, designs the workflow, and publishes the workflow as an application. Users change input parameters (forward and reverse prompts, input images, etc.) directly on the application interface to generate inference works.
3. Fine-grained resource isolation is based on model, workflow, and application entities. It is possible to isolate resources such as models, workflows, applications, and works of teams or individuals, so that resources from different departments and users can be fully isolated.
4. The low-cost inference biometric scheme integrates a resource scheduling module. The inference cluster can be started flexibly through resource scheduling. The inference task is processed by the inference cluster in the form of a queue, and the cluster can be flexibly adjusted to complete the queue task.