.gitea/workflows/model-env-images.yml: add pixal3d) MODELS="Pixal3D" ;; to the case block and to the workflow_dispatch input description.
Do not touch prodstages — keeping the modeling default on TripoSG is what keeps that 4-model image (and its long build) untouched.
Dockerfile.model-env needs no change: artpipe setup --model Pixal3D is the single bootstrap entry point, and artpipe-base is already nvidia/cuda:12.9.1-cudnn-devel-ubuntu24.04 with nvcc and build-essential.
Risks to watch on the first build
Disk: ~35-45 GB image (weights alone are ~27 GB). The job already runs df -h /.
CUDA arch: TORCH_CUDA_ARCH_LIST / NATTEN_CUDA_ARCH must cover sm_89 (4090). Currently set to 8.6;8.9.
Toolkit/wheel skew: the manifest starts on cu128 to match the 12.9 base. Upstream pins torch 2.6.0+cu124 — if the compiled extensions mismatch, fall back to cu124 and re-verify.
install.verify_imports should catch a silently-failed extension build at image-build time rather than in prod, offline, on the first real job.
Part of #833. Blocked by #834.
`.gitea/workflows/model-env-images.yml`: add `pixal3d) MODELS="Pixal3D" ;;` to the case block and to the `workflow_dispatch` input description.
**Do not touch `prodstages`** — keeping the modeling default on TripoSG is what keeps that 4-model image (and its long build) untouched.
`Dockerfile.model-env` needs no change: `artpipe setup --model Pixal3D` is the single bootstrap entry point, and `artpipe-base` is already `nvidia/cuda:12.9.1-cudnn-devel-ubuntu24.04` with nvcc and build-essential.
## Risks to watch on the first build
- **Disk**: ~35-45 GB image (weights alone are ~27 GB). The job already runs `df -h /`.
- **CUDA arch**: `TORCH_CUDA_ARCH_LIST` / `NATTEN_CUDA_ARCH` must cover sm_89 (4090). Currently set to `8.6;8.9`.
- **Toolkit/wheel skew**: the manifest starts on cu128 to match the 12.9 base. Upstream pins torch 2.6.0+cu124 — if the compiled extensions mismatch, fall back to cu124 and re-verify.
- `install.verify_imports` should catch a silently-failed extension build at image-build time rather than in prod, offline, on the first real job.
Done in spikersoft-artpipe PR #33 (folded in with the manifest rather than shipped separately — the case-block entry is inert without models/Pixal3D/artpipe.json, and building pixal3d alone would exit with "Unknown image").
pixal3d) MODELS="Pixal3D" ;; added to the per-model modeling lane block (#357) and to the workflow_dispatch input description. Deliberately not in DEFAULT_IMAGES — at ~35-45 GB it's the heaviest image in the lane, so it gets built explicitly. prodstages untouched.
Done in spikersoft-artpipe PR #33 (folded in with the manifest rather than shipped separately — the case-block entry is inert without `models/Pixal3D/artpipe.json`, and building `pixal3d` alone would exit with "Unknown image").
`pixal3d) MODELS="Pixal3D" ;;` added to the per-model modeling lane block (#357) and to the `workflow_dispatch` input description. Deliberately **not** in `DEFAULT_IMAGES` — at ~35-45 GB it's the heaviest image in the lane, so it gets built explicitly. `prodstages` untouched.
Closing once #33 merges.
Resolved in spikersoft-artpipe PR #33 (merged to main, commit fe0a1ff). pixal3d) MODELS="Pixal3D" ;; added to the per-model modeling lane case block and to the workflow_dispatch input description; deliberately not in DEFAULT_IMAGES. prodstages untouched. Closing.
Resolved in spikersoft-artpipe PR #33 (merged to `main`, commit `fe0a1ff`). `pixal3d) MODELS="Pixal3D" ;;` added to the per-model modeling lane case block and to the `workflow_dispatch` input description; deliberately not in `DEFAULT_IMAGES`. `prodstages` untouched. Closing.
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Part of #833. Blocked by #834.
.gitea/workflows/model-env-images.yml: addpixal3d) MODELS="Pixal3D" ;;to the case block and to theworkflow_dispatchinput description.Do not touch
prodstages— keeping the modeling default on TripoSG is what keeps that 4-model image (and its long build) untouched.Dockerfile.model-envneeds no change:artpipe setup --model Pixal3Dis the single bootstrap entry point, andartpipe-baseis alreadynvidia/cuda:12.9.1-cudnn-devel-ubuntu24.04with nvcc and build-essential.Risks to watch on the first build
df -h /.TORCH_CUDA_ARCH_LIST/NATTEN_CUDA_ARCHmust cover sm_89 (4090). Currently set to8.6;8.9.install.verify_importsshould catch a silently-failed extension build at image-build time rather than in prod, offline, on the first real job.Done in spikersoft-artpipe PR #33 (folded in with the manifest rather than shipped separately — the case-block entry is inert without
models/Pixal3D/artpipe.json, and buildingpixal3dalone would exit with "Unknown image").pixal3d) MODELS="Pixal3D" ;;added to the per-model modeling lane block (#357) and to theworkflow_dispatchinput description. Deliberately not inDEFAULT_IMAGES— at ~35-45 GB it's the heaviest image in the lane, so it gets built explicitly.prodstagesuntouched.Closing once #33 merges.
Resolved in spikersoft-artpipe PR #33 (merged to
main, commitfe0a1ff).pixal3d) MODELS="Pixal3D" ;;added to the per-model modeling lane case block and to theworkflow_dispatchinput description; deliberately not inDEFAULT_IMAGES.prodstagesuntouched. Closing.