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
