# Idol (speridlabs/idol) timing on an RTX 5060 Ti 16 GB and an RTX 5090 32 GB, 31 Oct 2026.
# The same commands ran on both cards.
# Placeholders:
#   <n>                index of the card on its machine (RTX 5090: 0, RTX 5060 Ti: 1)
#   <hf-cache>         Hugging Face cache folder with the snapshots listed in environment.txt
#   <venv>             the Python environment
#   <idol-sdk>         the checkout of speridlabs/idol-sdk at 4702a7f
#   <author-examples>  the 22 example pictures of the author
#   <own-pictures>     my 6 own pictures (both lists: inputs-sha256.txt)
#   <out>, <clips>     output folders

export CUDA_VISIBLE_DEVICES=<n> IDOL_PHYS_GPU=<n> HF_HUB_OFFLINE=1 HF_HUB_CACHE=<hf-cache> TRANSFORMERS_OFFLINE=1
# TRANSFORMERS_OFFLINE=1 was set for run 2 and for both runs on the RTX 5090.
# For run 1 on the RTX 5060 Ti I did not record it.
# IDOL_PHYS_GPU is the card whose memory use the script reads for the peak number.

# Run 1: the 22 example pictures. 262,144 Gaussians for all 22, then 1,048,576 Gaussians for 8 of
# them (every second picture, the first eight of those).
<venv>/bin/python bench_idol.py <out>/run1 <author-examples>

# Run 2: my 6 pictures, a second process started right after run 1.
# 262,144 Gaussians for all 6, then 1,048,576 Gaussians for all 6.
IDOL_N1M=6 <venv>/bin/python bench_idol.py <out>/run2 <own-pictures>

# Clips: one turn per result (262,144 Gaussians), then the side-by-side with the input picture.
# <name> is the picture name without the extension.
<venv>/bin/python make_video.py <venv>/bin/python render_turntable.py \
    <out>/run1/g262144/<name>.ply <out>/run1/g262144/<name>_camera.json \
    <out>/run1/g262144/<name>_input.png <clips>/<name> 240 720
# The ramen clip: the same with <out>/run2 instead of <out>/run1.