Change Pose to your image with Krita and Stable Diffusion!

The speaker begins by introducing the audience to a special feature involving CR and its addon for stable diffusion. They emphasize the need for proper installation and warn about the high demand for VRAM and memory. The speaker shares their experience using different workloads, specifically the 1.5 version for image creation and Excel for refinement. They mention the importance of installing certain components like ControlNet, Script Ball, and Art Soft Edge. The speaker also advises on setting performance parameters, such as using a batch size of one and a 4K diffusion tile size. They stress the importance of using GPU resources wisely to avoid freezing and losing work. The goal is to demonstrate how to use CR efficiently and make work easier, with a focus on creating digital artwork.

The speaker dives into the AI image generation process, focusing on the use of a 'hamburger' button to access a palette for creating line art. They choose the 'Stars' button to overlay a control layer from the current image, using a Supergirl hero image as a base. The aim is to create a line art layer and a pose layer, which are then used to manipulate the image. The speaker demonstrates how to move the character's arm using control points and discusses the importance of using the right strength settings to maintain the original look of the character while making desired changes.

The speaker discusses the process of editing and refining line art in CR. They encounter an issue with multiple arms appearing due to conflicting control layers and decide to 'cheat' by using a cloning tool to create a new, single arm. They explain how to use the Eraser tool to remove unwanted parts and merge layers to simplify the image. The focus is on helping the AI by providing clear instructions and making necessary manual adjustments to achieve the desired outcome.

The speaker continues to refine the AI-generated image, attempting to correct the position of the character's head and arm. They use control pose and line art layers to make adjustments, emphasizing the importance of not being too precise but rather providing guidance for the AI. The process involves trial and error, with multiple iterations to achieve the desired result. The speaker also mentions the use of upscaling and the potential for further refinement using different models and settings.

The speaker demonstrates the upscaling process using a button in CR, opting for the default four-time scaler. They then showcase a trick to refine the upscaled image using an Excel model checkpoint, aiming to enhance details and perfect the image. The result is a significant improvement in quality, which the speaker compares to the original. They also discuss the potential for further refinement and the importance of patience due to the demanding nature of the process.

The speaker attempts to fix minor issues in the image, such as the hand's appearance, by manually editing the line art layer. They use tools like the clone tool and the Eraser to make adjustments, emphasizing that while they are not perfect artists, they can still guide the AI to improve the image. The process involves reducing the strength of control layers and making iterative improvements to achieve a more natural look.

The speaker reflects on the iterative process of improving the AI-generated image, discussing the challenges of managing multiple layers and iterations. They demonstrate how to make further adjustments to the image, such as fixing the hand and nose, and explain the importance of starting from the right level to avoid complications. The speaker concludes by thanking the audience for watching and expressing hope that the tutorial was helpful for their journey in AI content creation.