[diffusion] chore: batch qwen-image 2.1 targets and document measured deployment recipes (#40408)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>
This commit is contained in:
Mick
2026-09-20 13:59:36 +08:00
committed by GitHub
co-authored by Mick Qian
parent 99d53fe0c2
commit 031bff5dd3
10 changed files with 369 additions and 79 deletions
@@ -37,7 +37,12 @@ bit-exact. In the tested image, spatial versus full decode gave RGBA PSNR
60.69 dB; this is one sample, not a general quality guarantee.
Request-local prefix KV reuse and new-request graph replay have CUDA regression
tests. The deployment picker marks only its exact tested HTTP combinations as
tests, including batched targets and independent variable-length prefixes.
Compatible text-to-image requests support opt-in dynamic batching; image-edit
requests remain separate, while multiple outputs within one request are supported.
See the cookbook's [batching guidance](/cookbook/diffusion/Qwen-Image/Qwen-Image-2.1#batching)
for measured throughput and floating-point reproducibility limits.
The deployment picker marks only its exact tested HTTP combinations as
verified, including H200, B200, RTX PRO 6000 96GB, RTX 5090, and RTX 4090.
CLI-only combinations remain Unverified in the picker.