Configurable means configurable from the UI, not only from models.json. The
model page now carries the four settings added over the last commits — text
encoder quantisation, block-sparse attention, the base checkpoint an avatar
family borrows tokenizer/text_encoder/vae from, and the context-parallel tile —
each with the trade-off in the option text, because "nf4" means nothing without
"~2.8 GB, stays resident" beside it. They are in api_model_configure's
whitelist too, or the page would offer settings it then dropped on save.

And the RunPod image: block-sparse attention is pure Triton, Triton compiles its
CUDA driver module the first time it runs, and neither capability base image
carries a compiler. A pod would have failed with "Failed to find C compiler" on
the first denoising step — exactly how Surya failed in the local image before
v0.2.62. gcc and libc6-dev added, and the compiler test now covers this
Dockerfile alongside the two local ones, since checking only some of them is how
the gap got there in the first place.

Only this one pod image installs requirements-longcat.txt, so it is the whole
blast radius of the accelerate and bitsandbytes pins; the main venv already
carried bitsandbytes for the diffusers 4-bit path, in a separate venv, so there
is no conflict.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0185zEBiy3KWB37xNGSrxL7w