Change Pose to your image with Krita and Stable Diffusion!

The speaker enthusiastically introduces the audience to a special feature involving CR and Stable Diffusion, emphasizing the need for specific installations and caution regarding the high demand on VRAM and memory. They mention using two different workloads, 1.5 and Excel, for image creation and refinement, respectively. The speaker advises setting performance parameters and using the GPU 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 a digital artwork of Supergirl.

The speaker guides the audience through the AI image generation process, focusing on the use of a 'hamburger' button to access a palette for creating line art. They choose 'line art' and 'Stars three stars' options to overlay a control layer from the current image, using Supergirl as a base. The speaker then creates another control layer for the pose, aiming to manipulate the image by moving the arm and hand. They discuss the importance of using the right control levels and strength settings to achieve the desired outcome without losing the original look of the character.

The speaker continues to work on the image, addressing the issue of multiple arms appearing due to conflicting control layers. They use a cloning tool to paint a new arm, demonstrating how to rotate and position it correctly. The speaker also explains how to erase unwanted parts and merge layers to refine the image. They emphasize the importance of not being too precise, as the goal is to guide the AI in the right direction. The process involves trial and error, with the speaker renaming layers and ensuring they are set up correctly for the next steps.

The speaker describes the iterative process of refining the image, using control pose and line art to adjust the character's head and arm positions. They mention the use of horizontal flipping and mirroring to achieve symmetry. Despite some initial messiness, the speaker uses cloning and erasing tools to clean up the image. They also discuss the importance of maintaining the original mood and facial features while making adjustments, aiming for a balance between the new pose and the character's original appearance.

The speaker explores the upscaling feature, using a default scaler to increase the image size while maintaining quality. They discuss the use of a digital upscaler and a refiner model checkpoint to add more details and improve the image. The speaker demonstrates how to adjust the strength of the control layers and how to use the refiner to enhance the image further. They also mention the importance of patience due to the demanding nature of these processes on the system's resources.

The speaker focuses on adding artistic touches to the image, such as fixing the hand and enhancing shadows. They discuss the use of a clone tool and the importance of not being overly precise, as the goal is to guide the AI in making the necessary adjustments. The speaker also talks about the possibility of further refinement and the use of different strength levels to achieve the desired outcome. They demonstrate how to iterate over the image, making incremental improvements and comparing the results with previous versions.

The speaker concludes the tutorial by iterating over the image one more time, adjusting the strength of the control layers to achieve a closer match to the desired style. They discuss the challenges of managing multiple iterations and the importance of understanding the layer hierarchy to avoid confusion. The speaker demonstrates how to fix issues with the hand and nose, using both the cloning tool and manual adjustments. They wrap up by thanking the audience for watching and expressing hope that the tutorial was helpful for their journey in AI content creation.