NEXT-GEN MULTI-CONTROLNET INPAINTING! You’ve NEVER SEEN THIS BEFORE!

The script introduces a new feature called the multi-controlled net option for an Android application, which has been recently released. The presenter has been exploring this feature for three days and is eager to share the best tips and tricks with the audience. To activate this feature, one must have the stable diffusion webview extension installed and updated to the latest version. The presenter also suggests watching previous videos for guidance on installing extensions. Once activated, users can stack up to ten different models, although it's recommended to use no more than three for optimal results. The presenter humorously warns against using all ten models, as it results in a very dark and unusable image. The script also mentions a new camera icon that allows users to capture images directly from their webcam.

This section delves into the practical application of the multi-controlled net option for enhancing image details. The presenter explains how stacking different models can improve the precision and detail when converting one image style to another. An example is given where a base image generated with the 'anything with Remodel' is converted to a different style using the depth preprocessor and model. The presenter then demonstrates how combining the depth model with a normal map can significantly enhance the detail of the converted image. Further enhancement is shown by adding a candy preprocessor and model, adjusting the weight and noise strength to refine the image. The script emphasizes the importance of experimenting with different model combinations and settings to achieve the desired result.

The script describes how to create new images by merging a background with a character using the multi-controlled net option. The presenter generates a living room image and then uses the open pose editor to insert a character into the scene. The character's position can be adjusted, and then saved as a PNG. The presenter then explains how to use the depth preprocessor and model to integrate the character into the background, creating a realistic composite image. The script also introduces the guest mode option, which allows the AI to understand the image without any textual prompt, generating images with more stylization and color when enabled.

In this part, the presenter teaches how to change the background of an image using a new preprocessor called 'depth lires'. The script explains that by adjusting the 'remove background percentage', users can remove a portion of the background, allowing for a new background to be introduced. The presenter demonstrates this by generating an image of a woman with a galaxy explosion background and then changing it to a flower garden using the depth preprocessor. The script also discusses how to merge two images without altering the background by using the in painting tab and combining different models for the best results.

The final section of the script focuses on adjusting the lighting and mood of an image using control net. The presenter shows how to input a prompt and an image, then select a preprocessor and model to change the lighting source of the image. By choosing an image with a specific light source, such as a light bulb, the generated image will have a similar lighting effect. The script also mentions a sketch tab trick for adding light sources to an image by drawing on the image and then generating it with control net. Lastly, the presenter discusses a technique for inpainting objects onto a new image without a prompt, using a segmentation model to analyze and color-code objects in the image.