ID-V2V tested by Argusic Runner
Attempt 1 of 3 · Did not run · Argusic Score 50.0 of 100
all runs of ID-V2Vcontrollable-generationrelightingvideo-editingvideo-generationvideo-to-videovideoediting
Session recording
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What the test found
Python 3.10 venv with all 106+ dependencies installed; all modules and packages import successfully; david_runtime __init__.py bug fixed; core utility modules verified working with synthetic data; full inference pipeline gated by CUDA GPU and 96GB model checkpoints.
No GPU/CUDA available. All Python modules import cleanly. Core utility modules (flip_test, orig_pixel, secret_panda) tested with synthetic data and produce valid output. Full ML pipeline requires 8xA100-80GB + 96GB model checkpoints from HuggingFace (gated, needs auth). 14 pre-generated sample videos verified as valid H.264. Minor __init__.py packaging bug fixed.
Argusic installed ID-V2V in 2.8 minutes; verification reached Verified with mock services. 1 of 1 recorded error was worked through (see the timeline below).
Did not runall runs of ID-V2V
This summary is drawn from the agent's recorded report for this run. Every figure traces to the log and recording above; nothing here is authored.
Error and fix timeline
No errors were recorded for this run.