full image shot

You asked, so you shall receive. This is a full, 1-click pipeline for generating advertising ready pictures starting from bad product shots. Of course, it works even better with good studio shots, but that's beside the point. This is an iteration of my previous v3 workflow. Since a ton of you asked about implementing IPAdapters, Multi-SAM, Color Matching, PAG and upscaling, I integrated all of that. The core is still the same, but it's got a ton of optional modes now. Video tutorial and changes overview here: https://youtu.be/_1YfjczBuxQ In the video, I explore the possibility of starting from a bad photo, compositing a virtual set in Blender, and using a render as a base for further Stable Diffusion relighting and reworking with selective material changes. You can find the full asset folder here (1.6GB): https://we.tl/t-3csFQs2saw There's three color matching options groups, pick your favorite. Everything is modular, and can be expanded upon in order to make it yours, as long as you read the notes and understand what's going on. Want to support me? You can buy me a coffee here: https://ko-fi.com/risunobushi Cheers! Andrea

What this workflow does a workflow for creating an image with a depth perspective effect using IPAdapters. This image can be animated using Stable Video Diffusion to produce a ping pong video with a 3D or volumetric appearance. All of this in the same workflow. How to use this workflow You will need to use a mask image with three stacked layers, green blue and red (check examples). Then you can use three input image to be adapted in these three regions. This is used to create the composition, specifically the foreground and the central part. It's important to create an image with a convincing depth perspective, as the quality of the final video depends on it. Tips about this workflow Before running the full workflow, bypass the Ksampler node in the Video group, so that you can check if the image to animate looks good first. Also, you might need to find the right motion_bucket_id and seed to generate the proper camera pan, it might change depending on the depth of the input image. You can download an example mask and input images in the workflow-inputs.zip: https://civitai.com/articles/3235/a-workflow-for-depthparallax-images-and-videos-using-ipadapters-and-stable-video-diffusion

Youtube：https://www.youtube.com/watch?v=l0aoG1UtCFU