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license: mit

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🐷pig architecture gguf clip

• natively trained multipurpose clip for gk engine
• low vram alternative/substitute of t5xxl, umt5xxl, etc.
• 85% smaller, better efficient and cost effective

how it works

simply replace --t5xxl t5xxl.gguf with --llm pig_clip-nvfp4.gguf --llm-adapter pig_t5_adapter-f16.gguf

examples

test it with pixart

ggk diffuser engine -- --diffusion-model pixart-nvfp4.gguf --vae pig_pixart_vae_fp16-f16.gguf --llm pig_clip-nvfp4.gguf --llm-adapter pig_t5_adapter-f16.gguf -p "close-up portrait of dog" --diffusion-fa -v -o out.png

test it with sd-lite

ggk diffuser engine -- --diffusion-model model.gguf --vae vae.gguf --clip_l clip_l.gguf --clip_g clip_g.gguf --llm pig_clip-nvfp4.gguf --llm-adapter pig_t5_adapter-f16.gguf -p "close-up portrait of dog" --steps 8 --cfg-scale 1 --sampling-method euler --clip-on-cpu --diffusion-fa -v -o out.png

umt5 adapter

use --llm pig_clip-nvfp4.gguf --llm-adapter pig_umt5_adapter-f16.gguf for umt5xxl

ggk diffuser engine -- -M vid_gen --diffusion-model wan2.1_t2v_1.3b-q4_0.gguf --vae pig_wan_vae_fp32-f16.gguf --llm pig_clip-nvfp4.gguf --llm-adapter pig_umt5_adapter-f16.gguf -p "a pig moving quickly in a beautiful winter scenery nature trees sunset tracking camera" --cfg-scale 6.0 --sampling-method euler -v -n "blurry ugly bad" -W 480 -H 480 --diffusion-fa --offload-to-cpu --video-frames 14 -o out.avi

!screenshot

Reference

pig engine - the new gguf compute kernels (gk)