CoGVideoX-img2vid
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Model description
Title: CogVideo Workflow for Image-to-Video Creation and Refinement
Description:
This workflow is tailored for transforming static images into dynamic videos using the CogVideo model. It integrates advanced image conditioning, smooth latent space sampling, and robust video refinement features, enabling creators to generate high-quality video outputs from single or multiple image inputs. Key features include:
Image Input Flexibility: Supports single or start-to-end image sequences as conditioning inputs for video generation.
Dynamic Motion Control: Apply customizable motions like pans, tilts, or zooms to bring static images to life.
Latent Space Sampling: Generate smooth transitions with adjustable frame rates and resolutions using advanced sampling algorithms.
Post-Processing Refinements: Includes frame interpolation, color grading, and video stitching tools for a polished final output.
Modular Structure: Easily adaptable for various project needs, from artistic animations to cinematic effects.
This workflow is perfect for creators and designers who want to convert images into professional-quality videos with customizable motions and detailed refinements.
Requirements:
Pre-trained CogVideo model and VAE.
GPU with sufficient resources for high-resolution video generation.
Compatible with CogVideoX version 5b and above.
Transform your images into stunning videos and explore new creative possibilities with this image-to-video solution!

