Imagination-to-real by SmilingRobo

Imagination-to-Real by SmilingRobo is an amazing tool for teaching robots. It mixes AI with physics to create realistic pictures. This helps robots learn tough tasks, like parkour, without fancy sensors.

The tool blends AI models with simulators to make detailed, fake data for training robots. It ensures the data makes sense over time, using tools like Dreams In Motion. It also works with MuJoCo, making it easy to prepare and use data.

A cool feature is the Image Maker. This tool makes images from simple text prompts, perfect for simulations. For example, the three mask workflow can create images from a depth map and three masks, each with different prompts. This is great for big simulations, as it uses special nodes to handle the work efficiently.

The tool offers expert tips from Extreme Parkour. These tips help sample an environment and show conditioning images, making training better.

To begin, users need to install ComfyUI, MuJoCo, setuptools, and wheel. Models should be placed outside the ComfyUI folder and linked with a config file. After setup, users can run everything by setting environment variables and following specific commands.

SmilingRobo is also making SmilingRobo Cloud. This new platform will make robotic training easy with drag and drop features and cloud computing. It will allow big simulations and help the robotics community work together.

The creators of LucidSim and Extreme Parkour are thanked for their open-source help, which was key in making the Imagination-to-Real tool.