LoRA weights trained for THUDM/CogVideoX-5b-I2V, designed for image-to-video tasks

MultimodalDiffusers

A text-to-video model fine-tuned on the 3dgs-dissolve dataset based on THUDM/CogVideoX-5b, specializing in 3D object dissolution and spark effect generation

MultimodalDiffusers

A fine-tuned version based on THUDM/CogVideoX-5b model on the crush-smol dataset, specializing in generating videos of objects being crushed by hydraulic presses

MultimodalDiffusers

A video generation model fine-tuned on the cakeify-smol dataset based on THUDM/CogVideoX-5b, specializing in creative video generation that transforms everyday objects into cakes

MultimodalDiffusers

CogVideoX-5b is a diffusion model for text-to-video generation, fine-tuned to produce object dissolution effects.

MultimodalDiffusers

An image-to-video generation model fine-tuned on tens of millions of video data, achieving SBS-level quality comparable to CogVideoX-5B

Computer VisionDiffusersEnglish

A LoRA fine-tuned version based on the CogVideoX-5b model, specializing in Disney-style video generation

MultimodalDiffusersEnglish

A video generation model based on CogVideoX-5b, capable of producing high-quality video content from text descriptions

MultimodalDiffusersEnglish

CogVideoX-5B-I2V is a high-quality image-to-video generation model open-sourced by the Qingying platform. It can generate a 6-second dynamic video based on the input static image, with a resolution of 720×480 and a frame rate of 8fps.

MultimodalDiffusersEnglish

CogVideoX is an open-source video generation model originating from Qingying. This version is a dedicated image-to-video model based on a 5B parameter scale.

MultimodalDiffusersEnglish

A text-to-video model fine-tuned based on CogVideoX-5B, specifically optimized for interior design scenarios

MultimodalDiffusersEnglish

CogVideoX is an open-source version of the video generation model from Qingying. The 5B version has a larger model scale and can generate higher-quality video content.

MultimodalDiffusersEnglish

CogVideoX-5B is an open-source video generation model derived from QingYing. It can generate high-quality videos based on text input, providing powerful support for video creation. This model has 5 billion parameters and can generate 720x480 resolution videos with a duration of 6 seconds.

MultimodalDiffusersEnglish

CogVideoX is the open-source version of the video generation model derived from Qingying, providing high-quality video generation capabilities.

MultimodalDiffusersEnglish