Skip to content

Add PhysicsIQ benchmark reproduction cookbook for Cosmos3 #194

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
foreverlms merged 1 commit into from
Jun 13, 2026
Merged

Add PhysicsIQ benchmark reproduction cookbook for Cosmos3 #194

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
36 changes: 36 additions & 0 deletions evaluation/cosmos3/Physics_IQ/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,36 @@
<!-- SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
SPDX-License-Identifier: OpenMDW-1.1 -->

# Cosmos3 PhysicsIQ Reproduction

End-to-end recipe for reproducing the PhysicsIQ benchmark with Cosmos3-Super
using the native Cosmos Framework PyTorch entrypoint
(`python -m cosmos_framework.scripts.inference`).

The notebook walks through both PhysicsIQ task formats:

- **Image-to-Video (I2V)**: condition on the single switch-frame JPG; generate
121 frames (1 conditioning + 120 generated); score the last 120.
- **Video-to-Video (V2V)**: condition on a 3-second clip; pad the official
72-frame conditioning to 73 frames; generate 193 frames total; score
frames 73..192.

## Files

- `run_with_cosmos_framework.ipynb` — main notebook.
- `assets/i2v_prompts.json` — 198 I2V upsampled prompts.
- `assets/v2v_prompts.json` — 198 V2V upsampled prompts.

## Reference scores (Cosmos3-Super)

| Task | PhysicsIQ score |
| ---- | --------------: |
| I2V | 43.8 |
| V2V | 59.7 |

## Requirements

- 4-GPU Linux node (configurable via `COSMOS3_NUM_GPUS`, default 4)
- `uv >= 0.11.3`
- `ffmpeg`, `git`, `gcloud` (or `gsutil`)
- Hugging Face access to the Cosmos3 model family
Loading