Depth Anything ControlNet Create AI Image That Looks Stunning In ComfyUI

In today&video, we have an exciting topic to discuss - Stable Diffusion and the groundbreaking Depth Anything model. We&dive deep into the world of AI image and video creation, exploring how ControlNet and Depth Map technology are revolutionizing the field. Depth Anything: Depth Anything Test Lab ComftyUI Workflow: Stable Diffusion ComfyUI - How To Create Workflow With Clean Layout Less Lines Chapters: 00:00 - Introduction Of Depth Anything 02:48 - Installation Of Depth Anything ControlNet 04:40 - Update ControlNet In ComfyUI 05:03 - Apply Depth Anything In Workflow 06:00 - Depth Map ControlNet Testing And Comparison 12:54 - Testing In Hugging Face Demo Join me as we take a closer look at the collaboration between TikTok and the University of Hong Kong in their project, Depth Anything. This innovative model has been trained on a whopping 1.5 million identified images, along with an additional 62 million random images. The extensive training data has equipped this model with the incredible capability to detect elements in an image and accurately recognize the distance between objects and the camera view. If You Like tutorial like this, You Can Support Our Work In Patreon: For those who want to dig deeper, we&also provide a link to the research paper in the video description. You can explore the detailed metrics, formulas, and other technical aspects of the project. Now, let&move on to the practical side of things. We&navigate to the GitHub page where you can access...