Re-host: PiD qwenimage 2kto4k decoder (NVIDIA License / non-commercial) — converted from nvidia/PiD model_ema_bf16.pth (sc-7852)

LICENSE

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+NVIDIA License
+
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NOTICE

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+PiD — Pixel Diffusion Decoder (qwenimage 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_qwenimage_distill_4step/model_ema_bf16.pth
+
+What was changed
+----------------
+  The original PyTorch checkpoint (`model_ema_bf16.pth`) was converted to
+  safetensors format for use by 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 the license, 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 — qwenimage 2kto4k decoder (SceneWorks redistribution)
+
+A format-converted redistribution of NVIDIA's **PiD** (Pixel Diffusion) `qwenimage`
+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**. In
+SceneWorks it is toggled per generation (`advanced.usePid`) for Qwen-Image-family
+latent-space models (Qwen-Image, Qwen-Image-Edit, Krea 2 Turbo).
+
+## ⚠️ 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.
+SceneWorks surfaces this as a non-commercial label on the PiD toggle and on
+PiD-decoded output.
+
+## Contents
+
+| File | Description |
+|------|-------------|
+| `pid_qwenimage_2kto4k.safetensors` | qwenimage `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 Qwen-Image 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_qwenimage_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_qwenimage_2kto4k.safetensors

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