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feat: Implement upscale functionality with ONNX models

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- 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.
This commit is contained in:
马南
2026-08-23 20:34:35 +08:00
parent 1613bd3194
commit 0cf04a13c6
66 changed files with 2156 additions and 1088 deletions
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src/anyimage/blender_manifest.toml
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@@ -10,7 +10,7 @@ type = "add-on"
blender_version_min = "4.5.0"
platforms = ["windows-x64", "macos-arm64", "linux-x64"]
license = ["SPDX:GPL-3.0-or-later"]
wheels = ["./wheels/blendjob-0.1.13-py3-none-any.whl"]
wheels = ["./wheels/blendjob-0.1.14-py3-none-any.whl"]
[permissions]
network = "Access the local Job Server and download environment dependencies and model weights"