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* 'main' of https://github.com/huggingface/diffusers: (327 commits) downcast MiniMax-H3 position_ids at the device transfer on fp64-less backends (huggingface#14767) Fix TaylorSeer cache crash when the feature shape changes between steps (huggingface#14831) [docs] Adapters (huggingface#14842) [LoRA] add LoRA training for Qwen Image 2.1 (huggingface#14808) Pin GitHub Actions to commit SHAs (huggingface#14853) Scope GITHUB_TOKEN permissions per job (huggingface#14852) test and docs for xet dedup based file sharing. (huggingface#14835) Add single file support for Qwen 2.1 (huggingface#14836) Fix Wuerstchen LoRA scheduler steps for distributed epochs (huggingface#14748) [docs] Fix legacy hf CLI references (diffusers) (huggingface#14830) [docs] Using diffusion pipelines (huggingface#14805) [docs] Fix docstring arguments that don't match the signatures (huggingface#14778) [docs] typo with hyperlink (huggingface#14826) Fix Ascend NPU RMSNorm and fused-attention mask shapes (huggingface#14288) [core] Fix component device placement for split-device pipelines (huggingface#14739) Fix flash/sage varlen prep under torch.compile with dynamic shapes (huggingface#14568) Synchronize the compute stream before offloading to disk (huggingface#14657) extend tests/others/test_cli_commands.py::TestRunCommand::test_group_… (huggingface#14697) Add SeaCache support for Cosmos3 pipelines (huggingface#14663) Add Qwen-Image 2.1 (huggingface#14804) ...
…` prefix instead of `.net` prefix, and remove unused `llm_adapter` keys
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What does this PR do?
Removes the
model.diffusion_modelprefix from the tensor keys in theCosmosTransformer3DModel.from_single_file()method.While the Anima base-v1.0 version (and the 3 older preview versions) use the
netprefix, the later aesthetic and turbo versions all use themodel.diffusion_modelprefix, which is not currently supported by theCosmosTransformer3DModel.from_single_file()method.This also removes all keys with
llm_adapter, which removes the warning about these keys not being used. In Diffusers, theAnimaTextConditioneris a separate part of the pipeline undertext_conditioner, but all single file checkpoints contain both thetransformerandllm_adaptertensors, which leads to the warning appearing.I decided to add this extra change to my PR about the
model.diffusion_modelprefix because I felt the scope of the changes is rather trivial, but do let me know if I need to put it in a separate PR.Fixes #14929
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