deepopen-com/deepopen-3d-webs

选用指南

AI 根据 README 整理 · 2026/10/27 13:11:47

适用场景

适合空间概念设计、风格化内容生成、设计评审、教学演示以及三维资产起始点等场景。

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The system runs in demo mode by default. Without a GPU, the pages, the gallery's 3D demos, and task replay all remain usable. With CUDA and model weights available, you can switch to the full 3D generation engine. ## 2. Use Cases - **Spatial concept design**: Get a look-around version of an interior, building, or natural landscape before deciding whether to invest in refinement - **Stylized content**: Anime, fantasy, holiday, and post-apocalyptic presets load in directly — well suited to style exploration

- **Design reviews**: Put stills, flythrough footage, and point-cloud previews on one page for collaborators - **Teaching and demos**: Demo mode needs no GPU; the official `demo-*` assets work well in classrooms and pitch sessions - **A starting point for 3D assets**: Export PLY Gaussian point clouds for downstream viewing or processing ## 3. Core Features The system has five tabs. **Workbench** Summarizes total tasks, completed and failed counts, sample scene count, run mode, CUDA, disk, host, and service port. Click "Refresh System Data" to re-collect. **Scene Generation**

使用方式

通过网页界面使用，提供五个标签页：工作台、场景生成、示例画廊、任务历史和系统状态。用户可上传图像或加载示例，选择模型和轨迹生成场景，并查看动画和点云预览。

查看 README 依据

- **Design reviews**: Put stills, flythrough footage, and point-cloud previews on one page for collaborators - **Teaching and demos**: Demo mode needs no GPU; the official `demo-*` assets work well in classrooms and pitch sessions - **A starting point for 3D assets**: Export PLY Gaussian point clouds for downstream viewing or processing ## 3. Core Features The system has five tabs. **Workbench** Summarizes total tasks, completed and failed counts, sample scene count, run mode, CUDA, disk, host, and service port. Click "Refresh System Data" to re-collect. **Scene Generation**

- Upload a reference image, or load an image, positive/negative prompts, model, seed, steps, and camera trajectory from a Chinese example - Diffusion model options: the standard SD1.5, Blazing Drive V11m, Realistic Vision V5.1, Cartoon Pixar V5 - Generation trajectories: Look Around, Overhead Orbit, Spin in Place 360 - Render trajectories: Push In and Out, Classic Orbit, Subtle Sway - **One-Click Generate** runs preview, color animation, and depth animation end to end - **Step 1 · Generate Gaussians** bakes the scene only and returns a PLY

Generation actions are written to `data/history.json`. Official `demo-*` 3D demo tasks are preloaded. Enter an ID and click "View & Demo" to see task details, the reference image, both animations, the point cloud preview, and the PLY download together. **System Status** Shows host, OS, Python, CUDA, run mode, and the data directory, along with the recommended order of operations.

部署要求

部署需要 Docker Engine 24或更高版本，端口8090开放，至少8GB内存。演示模式无需GPU，完整模式需要NVIDIA GPU（建议16GB显存）及相应工具包或CUDA环境，并需下载约30GB的模型权重。

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- Docker Engine 24 or later, with `docker compose` available - Port `8090` open on the local machine or server - 8 GB of RAM or more recommended; official PLY demos need several additional GB of disk - Demo mode (`LD_DEMO_MODE=1`) needs no GPU — the default `Dockerfile` is enough - `LD_DEMO_MODE=0` requires an NVIDIA GPU (16 GB VRAM recommended), the NVIDIA Container Toolkit or a local CUDA environment, `requirements-cuda.txt` / the CUDA build of PyTorch, and compiled `submodules/simple-knn` and `submodules/depth-diff-gaussian-rasterization-min`

- Full mode downloads the diffusion and ZoeDepth weights on startup; allow about 30 GB of cache. If any requirement is missing, it falls back to demo mode automatically ### 6.2 Startup Demo (no GPU / default): ```bash docker compose up -d --build ``` Linux server with GPU: ```bash docker compose -f docker-compose.cuda.yml up -d --build ``` On Windows you can also double-click `start_demo.bat` / `start_cuda.bat`, or follow [RUN\_CUDA.md](RUN_CUDA.md). View logs and stop: ```bash docker compose logs -f docker compose down ``` ### 6.3 Access Local: ```text http://127.0.0.1:8090 ```

已知限制

系统默认运行在演示模式，缺少GPU或模型时自动回退到演示模式。完整模式需要GPU和模型权重，否则无法使用完整的3D生成引擎。

查看 README 依据

The system runs in demo mode by default. Without a GPU, the pages, the gallery's 3D demos, and task replay all remain usable. With CUDA and model weights available, you can switch to the full 3D generation engine. ## 2. Use Cases - **Spatial concept design**: Get a look-around version of an interior, building, or natural landscape before deciding whether to invest in refinement - **Stylized content**: Anime, fantasy, holiday, and post-apocalyptic presets load in directly — well suited to style exploration

- Full mode downloads the diffusion and ZoeDepth weights on startup; allow about 30 GB of cache. If any requirement is missing, it falls back to demo mode automatically ### 6.2 Startup Demo (no GPU / default): ```bash docker compose up -d --build ``` Linux server with GPU: ```bash docker compose -f docker-compose.cuda.yml up -d --build ``` On Windows you can also double-click `start_demo.bat` / `start_cuda.bat`, or follow [RUN\_CUDA.md](RUN_CUDA.md). View logs and stop: ```bash docker compose logs -f docker compose down ``` ### 6.3 Access Local: ```text http://127.0.0.1:8090 ```