Today, we’re diving into the innovative IP-Adapter V2 and ComfyUI integration, focusing on effortlessly swapping outfits in portraits. This tutorial simplifies the entire process, requiring just two images: one for the outfit and one featuring a person. By utilizing ComfyUI’s node operations, not only is the outfit swapped, but any minor discrepancies are resolved with…
A common hurdle encountered with ComfyUI’s InstantID for face swapping lies in its tendency to maintain the composition of the original reference image, irrespective of discrepancies with the user’s input. For instance, if a user uploads a headshot while requesting a full body depiction, the output frustratingly remains a mere headshot, ignoring the intended composition….
In a previous piece, I explored how to use the Adetailer extension and your own trained LoRA to swap faces for a person in images in A1111. Building on that knowledge, this article will delve into achieving a similar task in ComfyUI, enhancing the realism and fidelity of face swaps. For those who love diving…
In a previous post, Training Face LoRA, I detailed the use of XYZplot in A1111 to examine a batch of trained LoRA. While XYZplot in A1111 proved quite resourceful, its processing speed in handling a large number of images was notably slower than ComfyUI, often exceeding half an hour. This article aims to guide you…
ComfyUI’s LoRA workflow is well-known among users. The developers offer an array of built-in workflows that utilize default node functionality, demonstrating how to effectively implement LoRA. Applying a single LoRA can be quite straightforward. Simply integrate a LoRALoader node into your existing workflow. However, if you need to incorporate multiple LoRAs, you would typically add…