Enhance device management and model handling in SnapForm
- Updated frame extraction logic to allow for single frame extraction. - Integrated model readiness checks for BEN2 and DA3 models in relevant operators. - Added directory name attribute to model specifications for better organization. - Improved device selection logic for production and debug tasks. - Refactored preferences to expose device settings and ensure they reflect available hardware. - Enhanced runtime device detection and management, including support for CUDA and MPS. - Updated tests to cover new device management features and model directory handling. - Removed deprecated download model tests to streamline codebase.
This commit is contained in:
@@ -18,8 +18,8 @@ SnapForm 是一个 Blender 扩展,可以把一张照片、一段视频或一
|
||||
- Linux:`SnapForm.v0.10.10.linux-x64.zip`
|
||||
2. 打开 Blender,进入 `Preferences > Extensions`
|
||||
3. 点击 `Install from Disk`,选择下载的压缩包
|
||||
4. 在扩展偏好设置中确认 `uv` 路径与 Torch 后端(保持默认即可);如果下载经常超时,
|
||||
可以在 `PyPI Index` 里填一个国内镜像,例如 `https://pypi.tuna.tsinghua.edu.cn/simple`
|
||||
4. 在扩展偏好设置中确认 Storage Root 与 Device(保持默认即可);Device 默认取本机
|
||||
最快的 CUDA/MPS,否则 CPU。下载超时会自动重试国内镜像,无需手动配置
|
||||
5. 打开 3D 视图右侧的 `SnapForm` 面板,点击 `Install Runtime`
|
||||
|
||||
DA3、BEN2 源码包和 uv 已内置在扩展里,安装时直接从本地解包,不需要访问 GitHub。首次使用仍会自动
|
||||
|
||||
Reference in New Issue
Block a user