{"schema":"record/v1","id":"art_01M5MXR9R6FRYBBHKZJNHWJRMG","type":"article","revision":1,"etag":"\"r1.s0\"","title":"How does group offloading work in diffusers v0.41.0 for video models (block_level vs leaf_level, streams, disk), which combinations raise errors, and which numbers exist for it with hardware?","summary":"Group offloading (ModelMixin.enable_group_offload, DiffusionPipeline.enable_group_offload, hooks.apply_group_offloading) moves groups of layers between CPU/disk and the accelerator. The source at the pin turns several documented cautions into hard errors: block_level needs num_blocks_per_group; record_stream needs use_stream; use_stream needs a non-CPU backend with streams; Accelerate hooks on the same module conflict; model/sequential CPU offload on a pipeline that has any group-offloaded component raises; disk offload with torchao tensors raises. Documented softer cautions: weight-dependent device casting may clash, streams need about 2x CPU memory of the model, block_level with streams is forced to 1 block per group, VAEs with streams and tiling need a dummy forward pass. Timing/memory numbers linked by the guide are a Flux table (no GPU named) and a Wan table (no GPU, size or resolution named), both from a proof-of-concept PR; no video-model benchmark with named hardware was fou...","status":"active","body":{"text":"Group offloading (ModelMixin.enable_group_offload, DiffusionPipeline.enable_group_offload, hooks.apply_group_offloading) moves groups of layers between CPU/disk and the accelerator. The source at the pin turns several documented cautions into hard errors: block_level needs num_blocks_per_group; record_stream needs use_stream; use_stream needs a non-CPU backend with streams; Accelerate hooks on the same module conflict; model/sequential CPU offload on a pipeline that has any group-offloaded component raises; disk offload with torchao tensors raises. Documented softer cautions: weight-dependent device casting may clash, streams need about 2x CPU memory of the model, block_level with streams is forced to 1 block per group, VAEs with streams and tiling need a dummy forward pass. Timing/memory numbers linked by the guide are a Flux table (no GPU named) and a Wan table (no GPU, size or resolution named), both from a proof-of-concept PR; no video-model benchmark with named hardware was found for group offloading in the pages read.\n\nCurator qualifications: The hard-error conditions in F1 are present at the pin (block_level without num_blocks_per_group, record_stream without use_stream, streams on CPU/no-Stream backends, existing Accelerate hooks). The PR 11682 tables (F3/F4) are reported_execution with no stated GPU for Flux and no setup for Wan; the curator did not re-read PR JSON. Pipeline-level CPU-offload refusal (F1 E11, pipeline_utils.py) not re-read.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://github.com/huggingface/diffusers/blob/086bf9578c0f4acbc66e48cd1e7cc26befd9e10f/docs/source/en/optimization/memory.md","note":"group_offloading.py L670-682, L999-1002, L1025-1027"},{"url":"https://github.com/huggingface/diffusers/blob/086bf9578c0f4acbc66e48cd1e7cc26befd9e10f/src/diffusers/hooks/group_offloading.py","note":"group_offloading.py L670-682, L999-1002, L1025-1027"},{"url":"https://github.com/huggingface/diffusers/blob/086bf9578c0f4acbc66e48cd1e7cc26befd9e10f/src/diffusers/pipelines/pipeline_utils.py","note":"group_offloading.py L670-682, L999-1002, L1025-1027"},{"url":"https://github.com/huggingface/diffusers/blob/086bf9578c0f4acbc66e48cd1e7cc26befd9e10f/src/diffusers/models/modeling_utils.py","note":"group_offloading.py L670-682, L999-1002, L1025-1027"},{"url":"https://github.com/huggingface/diffusers/blob/086bf9578c0f4acbc66e48cd1e7cc26befd9e10f/src/diffusers/models/autoencoders/autoencoder_kl_wan.py","note":"group_offloading.py L670-682, L999-1002, L1025-1027"},{"url":"https://github.com/huggingface/diffusers/blob/086bf9578c0f4acbc66e48cd1e7cc26befd9e10f/docs/source/en/optimization/speed-memory-optims.md","note":"group_offloading.py L670-682, L999-1002, L1025-1027"},{"url":"https://github.com/huggingface/diffusers/pull/11682","note":"group_offloading.py L670-682, L999-1002, L1025-1027"},{"url":"https://github.com/huggingface/diffusers/pull/11682","note":"cited at https://github.com/huggingface/diffusers/pull/11682#issuecomment-2955715126; group_offloading.py L670-682, L999-1002, L1025-1027"}]},"categories":["T06","T09"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://github.com/huggingface/diffusers/blob/086bf9578c0f4acbc66e48cd1e7cc26befd9e10f/docs/source/en/optimization/memory.md","claim":"Group offloading (ModelMixin.enable_group_offload, DiffusionPipeline.enable_group_offload, hooks.apply_group_offloading) moves groups of layers between CPU/disk and the accelerator. 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Timing/memory numbers linked by the guide are a Flux table (no GPU named) and a Wan table (no GPU, size or resolution named), both from a proof-of-concept PR; no video-model benchmark with named hardware was found for group offloading in the pages read.\n\nCurator qualifications: The hard-error conditions in F1 are present at the pin (block_level without num_blocks_per_group, record_stream without use_stream, streams on CPU/no-Stream backends, existing Accelerate hooks). The PR 11682 tables (F3/F4) are reported_execution with no stated GPU for Flux and no setup for Wan; the curator did not re-read PR JSON. 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