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. This
qwenimage student serves the Qwen-Image VAE latent space — Qwen-Image, the
Qwen-Image-Edit variants, and Krea 2.
⚠️ License — non-commercial (research/evaluation) only
This checkpoint is under the NVIDIA License (HuggingFace tag 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).
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_qwenimage_2kto4k_v1pt5.safetensors |
PiD v1.5 qwenimage 2kto4k 4-step student (461 tensors, bf16, ~2.8 GB). Improved color fidelity, no grid-corner artifacts, better anime/face detail. The default for the 2kto4k (up-to-4K) output tier. |
pid_qwenimage_2kto4k.safetensors |
qwenimage v1.0 2kto4k 4-step student (456 tensors, bf16, ~2.7 GB). Retained as the fallback for installs that predate v1.5. |
LICENSE |
Full NVIDIA License text (verbatim from the original release). |
NOTICE |
NVIDIA attribution, provenance, and the exact conversion performed. |
qwenimage ships no res2k student (v1.0 or v1.5), so the 2K and up-to-4K tiers
both use a 2kto4k file. The engine picks v1.0 vs v1.5 by sniffing the weights
(not the filename), so either loads correctly and a pre-v1.5 install keeps working.
Provenance / conversion
Converted from NVIDIA's originals (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.
- v1.5
2kto4k:checkpoints/PiD_v1pt5_res2kto4k_sr4x_official_qwenimage_distill_4step/model_ema_bf16.pth - v1.0
2kto4k:checkpoints/PiD_res2kto4k_sr4x_official_qwenimage_distill_4step/model_ema_bf16.pth
Links: Project https://research.nvidia.com/labs/sil/projects/pid/ · Code https://github.com/nv-tlabs/pid · Paper arXiv:2605.23902