# Text-to-video generation

This is a quantized text-to-video model that converts the base model to the GGUF format and can be used in ComfyUI, providing more options for text-to-video generation.

Wan14BT2VFusionX is a text-to-video generation model that supports video generation through the ComfyUI - GGUF custom node.

This is a GGUF conversion version based on the vrgamedevgirl84/Wan14BT2VFusionX model, mainly used for text-to-video generation tasks.

The GGUF format version of the Wan2.1-VACE-14B model, mainly used for text-to-video generation tasks.

A text-to-video generation model supporting multi-resolution training with first and last frame prediction capability

LoRA trained on the Wan2.1 14B T2V model for generating retro VHS-style videos

A text-to-video model trained on clips from 'Steamboat Willie', suitable for generating video content in the golden age animation style.

Wan 2.1 is a comprehensive open-source video foundation model featuring top-tier performance, consumer-grade GPU support, multi-task capabilities, visual-text generation, and efficient video VAE.

RepVideo is an innovative video generation model that improves video generation quality by rethinking cross-layer representation.

A GGUF quantized version based on the Lightricks/LTX-Video model, supporting text-to-video, image-to-video, and video-to-video tasks.

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