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Mochi Gguf
M
Mochi Gguf
Developed by calcuis
The GGUF quantized version of Mochi is a text-to-video generation model that includes a GGUF encoder and GGUF variational autoencoder, suitable for fast video content generation.
Downloads 284
Release Time : 3/2/2025
Model Overview
This model is primarily used for text-to-video generation tasks, capable of generating corresponding video content based on input text descriptions.
Model Features
GGUF Quantized Version
Includes GGUF encoder and GGUF variational autoencoder for faster loading speeds.
Upgraded Encoder
Improved from fp16/fp8 to fp32 for better compatibility, with no change in file size or memory consumption.
New fp32 GGUF Variational Autoencoder Decoder
Similar in size to fp16 safetensors, with better image quality and lower memory requirements.
Model Capabilities
Text-to-Video Generation
Use Cases
Video Generation
Generate Winter Landscape Video
Generate a video of a pink pig moving quickly through a winter natural landscape based on text description.
samples\\ComfyUI_00001_.webp
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