Add cutout shell and volume node assets for depth volume processing

- Implemented `cutout_shell.py` to build front normals and shell positions for balloon geometry.
- Created `cutout_volume.py` to establish smooth center fields and manage balloon surface attributes.
- Introduced `pisa_sr_export.py` for exporting PiSA-SR components with dependencies and asset finalization.

tools/model_licenses/pisa-sr/NOTICE.txt

@@ -0,0 +1,21 @@
+PiSA-SR ONNX models for AnyImage
+
+PiSA-SR: Lingchen Sun and contributors, https://github.com/csslc/PiSA-SR
+Source commit: 9c76e12e261d1980148738a0cff41e5e27d18c9f
+PiSA-SR is released under Apache License 2.0; see LICENSE-APACHE.txt.
+
+Stable Diffusion 2.1: Copyright (c) 2022 Stability AI and contributors.
+Base weights: sd2-community/stable-diffusion-2-1-base
+Revision: 4e63672c03103b6c636b8fb4119ba982469b2955
+Base weights and derivatives are subject to CreativeML Open RAIL++-M,
+including paragraph 5 and Attachment A use restrictions. All users must
+comply with these terms; see the accompanying LICENSE-MODEL.txt.
+License copy: sd2-community/stable-diffusion-2, LICENSE-MODEL.
+
+AnyImage modifications: merged pixel and semantic LoRA adapters, FP16
+ONNX conversion, fixed empty prompt and timestep, VAE encoder/decoder
+separation. Runtime combines pixel/full predictions at semantic strength 0.7.
+noise.npy contains a fixed seed 42 latent noise field.
+
+ONNX architecture derives from Hugging Face Diffusers and PiSA-SR.
+Copyright 2023 The HuggingFace Team. All rights reserved.