Release v26.9.1

New Models & Model Updates

Delivered via the xDiT bump (2f74acb → 3aa7b34) and supporting
diffusers (f6e1c4d → 9f7aee4) and DistVAE (6d8025c → dce4841)
bumps:

• LTX-2.5 (full and distilled), with xDiT configs now in the image
  (#48, xDiT #754)
• MiniMax-H3, with xDiT configs now in the image
  (#16, xDiT #762)
• DistVAE tiled / tile-parallel VAE execution and extended model support
  (DistVAE #14, xDiT #750)

Performance Improvements

• Attention backends moved from Triton / Sage-style paths onto AITER MHAv4.
  Quantized and sparse configs now use aiter_i8fp8 / aiter_fp8 /
  aiter_fp8_sparge instead of aiter_sage and the older Sparge names
  (#41, AITER #4627, xDiT #752 / #758).
• Fused QK-RMSNorm + RoPE (and related packing) for FLUX.1, FLUX.2, Qwen Image,
  Wan2.X, and Z-Image (xDiT #755, #756, #760, #767, #763).
• LTX-2.5 parallel VAE decoding and AITER RMSNorm (xDiT #759).
• Memory-efficient model loading (xDiT #751).

Docker & Environment

• Dockerfile stages were rewired so build_python and base share a common
  base_os layer, and license evidence is copied into core instead of
  final, which restores cache hits when only later stages change
  (#43).
• Meson is pinned to 1.7.0 to avoid a ROCm link-arg duplication regression
  in meson 1.12.0
  (#19).

Benchmark Configurations

• Quantized-attention configs renamed to quantattn and switched to
  aiter_fp8; HunyuanVideo FP8/Sage and several Wan2.2 quantized/Sage
  variants were dropped
  (#50).
• Distilled and distilled-sparse HunyuanVideo 1.5 configs were removed
  (#29).

Other Changes

• AITER bumped 3a52614 → 0c2b0f77
  (#31).
• xDiT stack bump (xDiT, diffusers, DistVAE)
  (#32).
• MiniMax-H3 torch.compile no longer recompiles
  (#57).