This new Outpainting Technique is INSANE - ControlNet 1.1.

This paragraph introduces the concept of outpainting, a technique for expanding images using AI. The creator explains that they will demonstrate their preferred technique, which involves using Control Net. The installation process for Control Net is outlined in a quick 40-second tutorial. The steps include downloading the extension, installing it, and applying the restart. After installation, users are directed to download specific model files, the .pth and .yaml, and place them in the appropriate folder. The creator wraps up the introduction by stating that they will be using the 'Realistic 3.1' model for generating hyper-realistic art.

The focus of this paragraph is on the steps required to start the outpainting process. It begins by recommending that users select an initial image, preferably one with a landmark or central focus. The creator advises using the 'Poor Man’s Outpainting' script as a starting point, but notes that it offers mediocre results. The paragraph continues with specific instructions on setting up Control Net, choosing the 'inpaint' option, and combining it with another AI model called Llama for better quality. The creator emphasizes the importance of selecting 'resize and fill' to avoid distorting the image, and setting resolution and denoising strength to optimize the outpainting effect.

Here, the focus shifts to rendering the image with the outpainting technique. The creator suggests setting the resolution to 1024x768 and keeping the sampler unchanged for now. They also recommend setting the denoising strength between 0.75 and 1, with 0.9 being ideal to introduce significant changes. The Control Net must be enabled, and the same image used in 'image-to-image' should be loaded again. After rendering, the creator expresses satisfaction with the results. Additionally, there is a brief intermission in which the creator asks viewers to subscribe, explaining that it helps them gauge the value of their content and audience engagement.

In this segment, the creator discusses the next steps for enhancing the image through upscaling. They reference a previous video and demonstrate a simple method by using the 'image-to-image' feature. Settings such as disabling Control Net and lowering the denoising strength to 0.2 are recommended. The sampler is set to 'DPM++ 2M Karras' for the best results. The creator then compares two different results from this method, commenting on their impressive quality. The paragraph ends with a teaser for the next part of the tutorial, which will cover using the outpainting technique on images not generated by Stable Diffusion.

This section explains how to use outpainting on images that were not originally created within Stable Diffusion. The creator walks through the process of loading an external image using Control Net, selecting 'inpaint' and 'resize and refill' options. They stress the importance of knowing the resolution of the image being used to avoid distortions. The example used here is a 600x900 image, which is resized to 1024x900. The rendering process is showcased, with different results being presented using both 'inpaint only' and 'inpaint plus Llama'. The creator notes that the images rendered with the combined models appear cleaner and more realistic, while encouraging viewers to experiment with their own preferences.

In this part, the creator demonstrates how to craft a specific scene using inpainting. A prompt is used to generate an image of a 'girl in a medieval city with a full moon and heavy rain,' which the creator praises as magnificent. They also address a mistake from a previous video, where they incorrectly stated that the whole image would be downsampled during inpainting. The correction clarifies that downsampling only occurs when not using a mask. By using a mask, users can retain the original resolution and increase details in specific areas. This correction ties back to their ongoing tutorial series, providing useful insights for viewers struggling with AI art workflows.

The final paragraph wraps up the video by directing viewers to the creator's earlier basic workflow tutorial, which covers essential AI art techniques. The creator encourages anyone struggling with their AI art process to refer to that video for additional guidance and improved workflow strategies.