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COSMOS 3 LANDS IN DIFFUSERS, PYTORCH 2.12 BREAKS IP-ADAPTER TESTS
By RepoJournal · Filed · About Hugging Face
NVIDIA's unified world foundation model is now integrated into Diffusers, but the PyTorch randomness shift is forcing test rewrites across the stack.
Cosmos 3 [1] is shipping as a single Mixture-of-Transformers pipeline that consolidates world generation, physical reasoning, and action prediction into one forward pass, replacing the three-model approach from earlier releases. The IP-Adapter tests for Stable Diffusion are failing on PyTorch 2.12 [2] because torch.randn no longer produces deterministic outputs for the same seed, forcing engineers to patch pipeline-level noise generation directly and update expected output slices. Meanwhile, the CI infrastructure across transformers-test-ci is stabilizing with cache fixes [3] and branch ref corrections [4] to prevent lock file creation errors and git checkout conflicts on main pushes. The ai-reviewer tooling picked up performance improvements in git operations [5] while documentation cleanup continues across the board [6] [7] [8].
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Action items
- → Review Cosmos 3 pipeline integration [ref:7] for production readiness before merging huggingface/diffusers [plan]
- → Test IP-Adapter workflows against PyTorch 2.12 deterministic patches [ref:6] huggingface/diffusers [plan]
- → Merge cache and branch ref fixes [ref:3] [ref:5] to unblock CI pipeline huggingface/transformers-test-ci [immediate]
References
- [1] Adding Cosmos 3 to Diffusers ↗ huggingface/diffusers
- [2] This PR updates the Stable Diffusion IP-Adapter integration ↗ huggingface/diffusers
- [3] Use tmp dataset cache + tmp HF modules cache ↗ huggingface/transformers-test-ci
- [4] use main instead of main:main ↗ huggingface/transformers-test-ci
- [5] improve git operations performance huggingface/ai-reviewer
- [6] useless in the README huggingface/ai-reviewer
- [7] pesky BRs huggingface/ai-reviewer
- [8] useless link huggingface/ai-reviewer