# SUPRA-Tex on one RTX 5090 32 GB, measurement of 3 Nov 2026
# Author code unchanged: Supra-3D/SUPRA-Tex commit cee4435652d0f23737bd28d5704e0fae9830b411 (start script scripts/run_example.py, as in the README).
# <work> stands for the working folder of the measurement. Weights were prepared with the author's scripts/prepare_models.py
# with local paths (--local-files-only), revisions from configs/pipeline.json, sha256 checked against Hugging Face (see weights-check.txt).
# models.json (see models.json): seed 42, texture size 4096, decimation target 500000, PNG textures, attention auto.

# Runtime check (author's check_runtime.py rejects anything but Python 3.10 / torch 2.6.0, so only the import checks were run):
python scripts/check_runtime.py --imports-only

# Compile caches: new empty folders for the first run (c1-whelk), reused by every later run (warm runs).
export TRITON_CACHE_DIR=<work>/cache-cold/triton
export TORCH_EXTENSIONS_DIR=<work>/cache-cold/torch_ext
export FLEX_GEMM_AUTOTUNE_CACHE_PATH=<work>/cache-cold/flex_gemm_autotune.json
export CUDA_CACHE_PATH=<work>/cache-cold/cuda
export TORCHINDUCTOR_CACHE_DIR=<work>/cache-cold/inductor
export NUMBA_CACHE_DIR=<work>/cache-cold/numba
cd SUPRA-Tex

# README example (no --input = spiny_whelk_shell.png): c1-whelk (first run, empty compile caches), w1-whelk, w2-whelk, w3-whelk
python scripts/run_example.py --config <work>/ready/models.json --output <work>/out/<tag>.glb

# Author example images (pitcher_plant.png: p1-pitcher; metalwork_candle_jar.png: m1-candle)
python scripts/run_example.py --config <work>/ready/models.json --input SUPRA-Tex/assets/<image>.png --output <work>/out/<tag>.glb

# Own images (opaque RGB copies of the Qwen-Image outputs, alpha channel dropped, colours unchanged):
# r-dragon-1 dragon.png, r-robot-1 robot-gpu.png, r-teapot-1 teapot.png, r-locomotive-1 locomotive.png,
# r-astronaut-1 astronaut-toy.png, r-airship-1 airship.png, r-robotplant-1 robot-plant.png
python scripts/run_example.py --config <work>/ready/models.json --input <work>/in-rgb/<image>.png --output <work>/out/<tag>.glb

# Timing: wall clock of the whole run_example.py call (runs/<tag>.json, wall_s); peak VRAM: nvidia-smi sample every 1 s (vram_peak_mib_smi).
# Exact argument lists of the 13 runs: runs/<tag>.json ("cmd", paths replaced by <home>). Author run receipts: receipts/<tag>.run.json.

# Preview clips (display only, not part of the measurement): Blender 5.2.1, Cycles, one full turn, 150 frames at 30 fps,
# 720 x 720, 48 samples, camera elevation 12 degrees, model scaled to fit and centred, dark background. Sources: r-dragon-1.glb, r-teapot-1.glb, w2-whelk.glb.