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.
This commit is contained in:
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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@@ -38,7 +38,7 @@ DA3 和 MoGe-2 都以未经抠图的 RGB 估计深度。启用 Remove Background
转换会创建以下数据:
- 与源 Image Empty 对齐的面片
- `.depth` 与 `.color` Image datablock
- `.depth` 与沿用源图名称的颜色 Image datablock
- 使用 `O DA3 Depth Plane` 或 `O MoGe2 Depth Plane` 的 Geometry Nodes 修改器
- 连接颜色、Alpha、Bump 与材质位移的材质
@@ -54,7 +54,7 @@ Geometry Nodes 提供深度范围、细分、重拓扑、平滑、背景深度
```text
<job-id>/
├── color.0001.jpg/png
├── image.0001.jpg/png
├── depth.0001.exr
└── results.npz
```