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| # ZeroGPU migration plan | |
| This is a deployment plan, not a claim that the current Docker Space runs on | |
| ZeroGPU. | |
| ## Current constraint | |
| `Simam3D` is a Docker Space. Hugging Face ZeroGPU currently targets Gradio SDK | |
| Spaces, so changing the hardware selector on this repository is not enough. | |
| The current Docker Space remains the reproducible target for DA3 experiments | |
| when metered GPU capacity is available. | |
| ## Separate variant steps | |
| 1. Create a Gradio-SDK Space variant from the tested `app.py` and | |
| `simam3d_core.py` modules. | |
| 2. Change the Space metadata from `sdk: docker` to `sdk: gradio` and remove | |
| Docker-only installation assumptions. | |
| 3. Use the platform-managed `gradio`, `spaces`, and `huggingface_hub` packages; | |
| do not pin those packages in the ZeroGPU requirements. | |
| 4. Keep model inference behind the optional `spaces.GPU` boundary and set a | |
| bounded duration for depth requests. | |
| 5. Validate the ZeroGPU-supported Python/Torch matrix before selecting the | |
| runtime; the current Docker requirements are intentionally independent. | |
| 6. Run the same dependency-free geometry and manifest tests (currently 34) and compare manifests | |
| between Docker and ZeroGPU runs. | |
| For the current Docker image, DA3 is intentionally opt-in: build with | |
| `SIMAM3D_INSTALL_DA3=1` only after selecting a compatible upstream revision. | |
| The default build remains V2-first and does not require the DA3 Git package. | |
| ## Acceptance checks | |
| - A V2 single-image request returns depth, GLB, PLY, fused PLY, Gaussian PLY, | |
| metadata, uncertainty map, turntable GIF, evidence card, reveal card, and | |
| manifest. | |
| - The manifest records the ZeroGPU runtime, exact software versions, input | |
| hashes, pose source, confidence source, and fusion settings. | |
| - DA3 remains an explicit opt-in experiment and its failure cannot prevent the | |
| V2 baseline from returning an artifact. | |
| Reference: https://huggingface.co/docs/hub/spaces-zerogpu | |