feat: Implement upscale functionality with ONNX models

- Added upscale operator to handle image upscaling by 4x using AI models.
- Introduced new jobs for upscale processing in the server, including debug and standard upscale jobs.
- Created a new ONNX model handler for upscale operations, supporting tiled inference and resource management.
- Updated tests to cover new upscale functionality, including input validation and output verification.
- Added documentation for the upscale feature, detailing usage and model options.

pack.py

@@ -48,6 +48,8 @@ def download_wheels(platform, destination):
         *dependencies,
         "--dest",
         str(destination),
+        "--find-links",
+        str(SOURCE_DIR / "wheels"),
         "--only-binary=:all:",
         f"--python-version={PYTHON_VERSION}",
         f"--platform={config.pip_platform}",