The video tutorial demonstrates a simplified four-step workflow using ComfyUI and specific lightweight models to create impressive AI-generated videos efficiently, avoiding large default models for faster performance. It guides viewers through setting up the necessary models, configuring nodes, and adjusting settings to produce versatile video styles, emphasizing ease of use and accessibility.
In this video tutorial, the creator demonstrates how to produce impressive AI-generated videos in just four simple steps using ComfyUI. The process is designed to be straightforward and accessible, encouraging viewers to have their coffee ready and stay engaged. The tutorial is inspired by Benji’s AI Playground but features some unique settings and an easier workflow to get started quickly. The creator emphasizes that the method is not only for anime-style videos but can also be adapted for cinematic or photographic styles.
The workflow begins by accessing the ComfyUI interface and browsing templates under the video section. The recommended template is “1 2.1 image to video,” but the creator advises against downloading the large 30.54 GB model suggested by default. Instead, they use a more efficient setup by adding two additional nodes: the Laura Loa model only and the patch sage attention KG. These nodes are connected sequentially to the model sampling SD3 node and then to the normal K sampler node, forming the core of the video generation pipeline.
Several specific models are required to make the workflow function correctly. These include the 1 2.1 Anisora I2V (image to video) model at 480p resolution, the 121_T2V_14B light model for the Laura folder, the UMT5 XXLFP16 safe tensor for the text encoder folder, and the van 2.1 VAE saved tensor for the VAE folder. The creator provides clear instructions on where to place each model within the ComfyUI directory structure. They also mention some mysterious “Chinese magic” embedded in the workflow, which users do not need to worry about as it works effectively.
The video settings are carefully configured for optimal performance and speed. The Laura loader model strength is set to one, and the patch sage attention KG node is disabled, although enabling it might also work. The model sampling SD3 node is set to eight, while the K sampler node uses four steps and a CFG scale of one, with a specific sample name for noise scheduling. Users can load an image to start the video generation, adjust the resolution and length, and experiment with different prompts. The creator highlights that keeping the resolution moderate helps avoid long rendering times.
Finally, the creator notes that the model used in this workflow is significantly smaller (around 17.7 GB) compared to the default 30 GB model, making it faster and more efficient, requiring only four steps instead of twenty. They invite viewers to comment with their preferences for local or ComfyUI models and encourage likes and shares if the tutorial was helpful. The video concludes with a friendly sign-off, reinforcing the ease and fun of creating AI videos using this method.