Re-host: PiD sdxl 2kto4k decoder (NVIDIA License / non-commercial) — converted from nvidia/PiD (sc-7852)

LICENSE

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+NVIDIA License
+
+1. Definitions
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NOTICE

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+PiD — Pixel Diffusion Decoder (sdxl 2kto4k student)
+====================================================
+
+This repository redistributes a converted copy of a model checkpoint
+originally produced and released by NVIDIA Corporation.
+
+Original work
+-------------
+  Name:     PiD (Pixel Diffusion) — PixelDiT distillation decoders
+  Author:   NVIDIA Corporation and its affiliates (NVIDIA Toronto AI Lab)
+  Source:   https://huggingface.co/nvidia/PiD
+  Project:  https://research.nvidia.com/labs/sil/projects/pid/
+  Code:     https://github.com/nv-tlabs/pid
+  Paper:    arXiv:2605.23902
+  Original checkpoint:
+            checkpoints/PiD_res2kto4k_sr4x_official_sdxl_distill_4step/model_ema_bf16.pth
+
+Latent space
+------------
+  This is the `sdxl` PiD student — the SDXL VAE latent space (4-channel, affine
+  scale 0.13025 / shift 0.0). In SceneWorks it serves every model in that latent
+  space: SDXL base, RealVisXL (incl. RealVisXL Lightning), and Kolors (which
+  reuses the SDXL VAE). This is the variance-preserving (VP-frame) student; the
+  shipped clean (sigma=0) decode path is frame-agnostic.
+
+What was changed
+----------------
+  The original PyTorch checkpoint (`model_ema_bf16.pth`) was converted to
+  safetensors for SceneWorks' native MLX/candle PiD decoder (`mlx-gen-pid`). The
+  conversion is a lossless key/format transform only: training-only tensors
+  (`net_ema.*`, `fake_score.*`, `discriminator.*`) are dropped and the `net.`
+  prefix is stripped, per the reference inference loader
+  (`pid_distill_model.py::PidDistillModel.load_state_dict`). Tensor values and
+  dtype (bfloat16) are unchanged. No re-training or fine-tuning was performed.
+
+License
+-------
+  This work and the original are licensed under the NVIDIA License (the license
+  HuggingFace tags as "NSCLv1"). The full license text is in the accompanying
+  LICENSE file and applies to this redistribution and to any derivative works.
+
+  USE LIMITATION (NVIDIA License §3.3): The Work and any derivative works thereof
+  may only be used, or be intended for use, NON-COMMERCIALLY — i.e. for RESEARCH
+  OR EVALUATION PURPOSES ONLY. (NVIDIA Corporation and its affiliates may use the
+  Work commercially.)
+
+  This non-commercial restriction FLOWS TO THE OUTPUT: images decoded with this
+  PiD decoder are for research/evaluation use only and are distinct in that
+  respect from images produced by the rest of the SceneWorks pipeline.
+
+  Per NVIDIA License §3.1, this distribution (a) is under the same license,
+  (b) includes a complete copy of it, and (c) retains all copyright/patent/
+  trademark/attribution notices present in the original Work. NVIDIA's name,
+  logos, and trademarks are not used except as necessary to reproduce these
+  notices (NVIDIA License §3.5).

README.md

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+---
+license: other
+license_name: nvidia-license
+license_link: LICENSE
+tags:
+  - pixel-diffusion
+  - decoder
+  - super-resolution
+  - non-commercial
+  - sceneworks
+extra_gated_prompt: >-
+  This model is licensed under the NVIDIA License (NSCLv1). It and any
+  derivative works may be used for NON-COMMERCIAL (research or evaluation)
+  purposes only. The non-commercial restriction flows to decoded output.
+---
+
+# PiD — sdxl 2kto4k decoder (SceneWorks redistribution)
+
+A format-converted redistribution of NVIDIA's **PiD** (Pixel Diffusion) `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).
+
+PiD is an **optional, per-generation replacement for the VAE decoder**: it denoises
+directly in pixel space and **decodes + 4× super-resolves in one 4-step pass**. This
+`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.
+
+## ⚠️ License — non-commercial (research/evaluation) only
+
+This checkpoint is under the **NVIDIA License** (HuggingFace tag `NSCLv1`); see
+[`LICENSE`](LICENSE) and [`NOTICE`](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).
+
+**This restriction flows to the output.** Images decoded with PiD are for
+research/evaluation use only, distinct from the rest of the SceneWorks pipeline.
+
+## Contents
+
+| 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. |
+
+The PiD caption encoder (`gemma-2-2b-it`) and the SDXL VAE are provisioned
+separately by SceneWorks; this repo holds only the PiD student weights.
+
+## Provenance / conversion
+
+Converted from NVIDIA's original
+`checkpoints/PiD_res2kto4k_sr4x_official_sdxl_distill_4step/model_ema_bf16.pth`
+(from [`nvidia/PiD`](https://huggingface.co/nvidia/PiD)) via a lossless
+key/format transform (`net.`-prefix strip + drop training-only
+`net_ema.*`/`fake_score.*`/`discriminator.*`; dtype preserved). No re-training.
+
+- Project: https://research.nvidia.com/labs/sil/projects/pid/
+- Code: https://github.com/nv-tlabs/pid
+- Paper: arXiv:2605.23902

pid_sdxl_2kto4k.safetensors

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