1d193f58bb
After the upstream cascade generalised _apply_group_offload to stream every DiT it finds on the pipe (transformer AND transformer_2), apply_memory_plan's group tier already block-streams both A14B experts, and model/sequential offload hook every top-level module. The explicit per-expert pass this branch added is therefore redundant: on a real group-tier load it re-registers the group-offload hooks transformer_2 already carries, which diffusers rejects with a duplicate-hook ValueError. That was swallowed by the helper's try/except and surfaced as a misleading "second expert stays resident" warning even though the expert was in fact streamed. Remove the pass and document why MoE needs none. |
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| .. | ||
| assets | ||
| auth | ||
| core | ||
| hub | ||
| loggers | ||
| models | ||
| plugins | ||
| requirements | ||
| routes | ||
| state | ||
| storage | ||
| tests | ||
| utils | ||
| __init__.py | ||
| _platform_compat.py | ||
| cloudflare_tunnel.py | ||
| colab.py | ||
| main.py | ||
| run.py | ||
| startup_banner.py | ||