gguf quantized version of mochi (incl. gguf encoder and gguf vae)🐷🐷🐷

• run it straight with gguf-connector
• opt a gguf file in the current directory to interact with by:

GGUF file(s) available. Select which one to use:

1. pig-mochi-q3_k_m.gguf
2. pig-mochi-q4_1.gguf
3. pig-mochi-q8_0.gguf

Enter your choice (1 to 3): _

run it with gguf-node via comfyui

• drag mochi to > ./ComfyUI/models/diffusion_models
• drag t5xxl to > ./ComfyUI/models/text_encoders
• drag vae to > ./ComfyUI/models/vae
• drag demo video (below) to > your browser for workflow

review

• new tensor fixed version; load faster with full set gguf (model + encoder + decoder)
• upgraded encoder; from fp16/fp8 to fp32; but not affecting the file size and memory consumption; more compatible to old machine
• new fp32 gguf vae decoder; similar size to fp16 safetensors; better quality; less ram requirement
• q2 works but not usable; you could get q8 [here] pig architecture

reference

• base model from genmo
• comfyui from comfyanonymous
• pig architecture from connector
• gguf-node (pypi|repo|pack)
• gguf-connector (pypi)