Stable Cascade in ComfyUI with Updated Method and Custom Workflows

The video begins with an introduction to the updated method for using Stable Cascade in Comfy UI. The focus is on exploring the workflows provided by Comfy Anonymous in the comfi repo and sharing custom workflows. The first step is to ensure readiness for using the updated method by downloading checkpoints specifically made for Comfy UI from the Stable Cascade examples page in the Comfy UI repo. The video provides instructions on where to find and download these models and how to store them for use with Comfy UI. It also mentions the need to update Comfy UI to ensure compatibility with the new workflows.

The second paragraph delves into the text-to-image workflow provided by Comfy Anonymous. It explains the process of using the Stage C model to create a text encoding, which is then fed into a sampler. The video highlights the importance of updating Comfy UI to work with these new nodes and provides a brief overview of the workflow stages. It also discusses the generation of latent images for Stable Cascade models, including the selection of width, height, and compression factors. The video demonstrates the workflow using a default prompt and shows the resulting image, emphasizing the capabilities of Stable Cascade with Comfy UI.

This paragraph covers the image-to-image workflow, which was not included in previous videos. It explains the process of converting images into latents for Stable Cascade models and the differences between this workflow and the text-to-image workflow. The video also introduces two custom methods devised to address the noise and oversharpened look in Stable Cascade images. The first method is a high-resolution fix, which involves a two-pass Stable Cascade process with upscaling and denoising. The second method involves using an XD XL model to achieve a specific aesthetic, and the video provides a brief overview of this workflow.

The fourth paragraph elaborates on the Stable Cascade highres fix method, which aims to improve the quality of text and reduce noise in the generated images. It explains the process of upscaling the image and converting it back into latents for further refinement. The video also compares the results of the highres fix method with the initial generation, highlighting the improvements in text clarity and noise reduction. Additionally, the paragraph discusses the second custom method, which involves passing the image through a two-stage control net to maintain composition and adhere to the prompt. The video provides a quick walkthrough of this workflow and shares the results of the process.

The final paragraph introduces an extension of the highres fix method, involving a triple pass in the Stable Cascade workflow. This method is specifically designed for creating widescreen wallpapers with high resolution. The video explains the process of manually setting the resolution for each pass and emphasizes the importance of maintaining a 16:9 ratio. The paragraph details the improvements in image quality, variation, and cleanliness achieved through the triple pass. The video concludes by demonstrating the final result and suggests upscaling the image for personal use.