InstructIR All-in-One Restoration (GGUF)

Text-guided NAFNet U-Net for 7 restoration tasks: denoise, deblur, dehaze, derain, super-resolution, low-light enhancement, general enhancement. 16M params, 61 MB F32.

Pre-computed task embeddings baked into GGUF — no text encoder at runtime. Select task by integer ID (0-6).

Parity: cos=1.000000 vs Python reference. Source: mv-lab/InstructIR (MIT, ECCV 2024).