gguf quantized version of pig🐷

• tiny model but good quality output
• 🐷pig is a lightweight architecture
• good performance on old machine
• upgrade your node for pig support

setup (once)

• drag gguf to > ./ComfyUI/models/diffusion_models
• drag t5xxl to > ./ComfyUI/models/text_encoders
• drag vae to > ./ComfyUI/models/vae

run it straight (no installation needed way)

• run the .bat file in the main directory (assuming you are using the gguf-node with comfy pack)
• drag the workflow json file below or the demo picture/video (below) to > your browser

workflow

• example workflow (json) for pig-1k [t5xxl] or opt gguf [t5xxl] (save memory choice)
• example workflow (json) for pig-video
• example workflow (json) for pig-mochi
• example workflow (json) for pig-1k-turbo
• example workflow (json) for pig-1k-aura [t5xl] or opt gguf [t5xl] (save memory choice)
• example workflow (json) for pig-1k-lumina [gemma2b]
• example workflow (json) for pig-cosmos [t5xxl-old] or opt gguf [t5xxl-old] (save memory)
• example workflow (json) for pig-t2w
• example workflow (json) for pig-v2w or -v2w-mini
• example workflow (json) for pig-i2v or -i2v-plus [clipvision]

run it with gguf-connector (optional; for demo recently)

• text2image generator

ggc i2

• text2video generator

ggc v2

reference

• base model from connector (1k|1k-turbo|video|mochi|cosmos|t2w|v2w|v2w-mini|i2v|i2v-plus)
• comfyui comfyanonymous
• gguf-connector (pypi)
• gguf-node (pypi|repo|pack)