Stable Diffusion ComfyUI Lightweight Workflow For Animated Video (Patreon)
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VIDEO:https://youtu.be/Wtjcr5EtMCg
We have developed a lightweight version of the Stable Diffusion ComfyUI workflow that achieves 70% of the performance of AnimateDiff with RAVE. This means that even if you have a lower-end computer, you can still enjoy creating stunning animations for platforms like YouTube Shorts, TikTok, or media advertisements.
In this video, we take you through the new workflow step by step. We start by loading our checkpoints and setting the clip layers. We then proceed to the IP adapter, which is a basic and fast-loading component designed for lightweight usage. Next, we explore the control net, which focuses on minimalistic control of character movements using the DW pose model. After that, we load the source videos and apply resizing and preprocessing techniques. Finally, we delve into the sampling steps, using the LCM method and applying latent upscales to enhance details and colors.
By following this simple and quick workflow, you can generate animations with different styles without being influenced by the characters or backgrounds of the source videos. The key is to prepare a high-quality, bright, and detailed image in the IP adapter for styling. This image will serve as a reference for the animations. We demonstrate various examples in the video, showcasing the results achieved with different IP adapter images. Although this workflow may not match the quality of the complete element diff workflow, it provides a lightweight and fast solution that is accessible to users with lower computing power.
Things You Need For This Workflow Default Setting:
Checpoints Model: Any checkpoint you prefer
Lora animatediff/v3_sd15_adapter.ckpt
https://huggingface.co/guoyww/animatediff/blob/main/v3_sd15_adapter.ckpt
AnimateDiff Model: CiaraRowles/TemporalDiff
https://huggingface.co/CiaraRowles/TemporalDiff/blob/main/temporaldiff-v1-animatediff.ckpt
ControlNet: DWPose Preprocesser With OpenPose :
https://huggingface.co/lllyasviel/sd-controlnet-openpose
Workflow : In This Post Attachment
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