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sdxl
4-step distillation decoder, packaged for SceneWorks' native (no-PyTorch) PiD
decoder (mlx-gen-pid on macOS/MLX, candle-gen-pid on Windows·Linux/CUDA).sdxl student serves the SDXL VAE latent space (4-channel, the largest
latent→pixel ratio) — SDXL base, RealVisXL (incl. RealVisXL Lightning), and Kolors,
which share the SDXL VAE.NSCLv1); see
LICENSE and NOTICE. Per §3.3, the Work and any
derivative works may be used non-commercially — for research or evaluation
purposes only (NVIDIA and its affiliates excepted).| File | Description |
|---|---|
pid_sdxl_2kto4k.safetensors | sdxl 2kto4k 4-step student backbone + sigma-aware LQ adapter (456 tensors, bf16, ~2.7 GB). |
LICENSE | Full NVIDIA License text (verbatim from the original release). |
NOTICE | NVIDIA attribution, provenance, and the exact conversion performed. |
gemma-2-2b-it) and the SDXL VAE are provisioned
separately by SceneWorks; this repo holds only the PiD student weights.checkpoints/PiD_res2kto4k_sr4x_official_sdxl_distill_4step/model_ema_bf16.pth
(from nvidia/PiD) via a lossless
key/format transform (net.-prefix strip + drop training-only
net_ema.*/fake_score.*/discriminator.*; dtype preserved). No re-training.