GGUF-quantized versions of huchukato/pimp-my-pony — an SDXL/Pony-based merge — for use with Each model variant lives in its own folder, with multiple quantization levels. More variants will be added over time. These files contain only the UNet — CLIP and VAE are not included. Requires the ComfyUI-GGUF custom node (pip install --upgrade gguf). SDXL is conv2d-heavy, so gains are smaller than on transformer models (Flux/Wan) — but still meaningful on limited VRAM / unified memory. Recommended generation settings are the same as the clip skip 2, included VAE, avoid excessive negative prompts. Converted with the official UNet extracted to safetensors → convert.py (BF16 GGUF) → llama-quantize…