Re-read /home/zwitschi/StabilityMatrix/Data/README.md - it now documents 141 GB of models and four
verified, core-node image/texture graphs - and wired the ones that matter into the toolchain.
comfyui_generate.py gains a 'texture' subcommand that rebuilds the API graph for each documented workflow,
because the files in Workflows/ are ComfyUI UI format and /prompt cannot accept them:
albedobase AlbedoBase XL v3.1, 30 steps, CFG 6.0, dpmpp_2m/karras, baked VAE
krea2 Krea-2 Turbo NVFP4, 8 steps, CFG 1.0, euler/simple, ConditioningZeroOut, texture-fix VAE
qwen21 Qwen-Image 2.1 int8, 25 steps, CFG 1.0, euler/simple, TextEncodeQwenImage21, texture-fix VAE
Default pair is albedobase + krea2 - both commercially usable - generated from the same prompt and seed,
scored by high-frequency detail, and compared before the winner takes --out. Smoke-tested at 512 px: both
rendered, albedobase won 18.91 against 17.51, and the resulting limestone albedo is a plausible material
sheet.
Tools/README.md documents the profiles with their settings, a licence row per profile (Qwen-Image 2.1 is
research-only and must not ship), and the two limits the workflows carry: they produce albedo only, and
ComfyUI 0.44 has no seamless sampler, so tiling has to be checked by offsetting the image 50%. Five tests
cover the graph shapes; the suite is at 108.
