molmo2_video_20260408_003357.log

2026-04-08 00:33:57 [INFO] Log file: data/molmo2_video_20260408_003357.log
2026-04-08 00:33:58 [INFO] Loading Molmo2 model...
2026-04-08 00:34:16 [INFO] Snapshot downloaded to /root/.cache/huggingface/hub/models--allenai--Molmo2-4B/snapshots/042abfa7a38879a376cec03d949eff0aefaa0600 (18.0s)
2026-04-08 00:34:25 [INFO] Model loaded in 27.3s
2026-04-08 00:34:25 [INFO] --- Generating intro slide content with Molmo2 ---
2026-04-08 00:34:27 [INFO]   [model_overview] (1.8s) Molmo2 is an advanced large language model designed for enhanced conversational and generative AI capabilities.
2026-04-08 00:34:30 [INFO]   [key_features] (2.8s) Certainly! Here are **two key features** of Molmo2:

1. **Enhanced Multimodal Capabilities**: Molmo2 can process and generate responses from various types of input, including text, images, and audio, making it more
2026-04-08 00:34:32 [INFO]   [capabilities] (2.9s) Molmo2 is an advanced large language model (LLM) developed by Ai2 (Allen Institute for Artificial Intelligence). It is an improved version of Molmo, designed to provide more accurate, nuanced, and context-aware responses. Here are its
2026-04-08 00:34:35 [INFO]   [why_molmo2] (2.6s) One compelling reason to use Molmo2 is its advanced multimodal capabilities, allowing it to understand and generate content across images, text, and code, making it a versatile tool for a wide range of creative and technical tasks.
2026-04-08 00:34:38 [INFO]   [getting_started] (3.0s) To get started with Molmo2, you'll need to follow these steps:

1. Download and install the Molmo2 software on your computer.
2. Create an account on the Molmo2 website or app.
3. Log in to your
2026-04-08 00:34:38 [INFO] --- Creating intro slides ---
2026-04-08 00:34:43 [INFO]   Created intro slide 1/5: Model Overview (4.9s)
2026-04-08 00:34:48 [INFO]   Created intro slide 2/5: Key Features (5.2s)
2026-04-08 00:34:53 [INFO]   Created intro slide 3/5: Capabilities (5.2s)
2026-04-08 00:34:59 [INFO]   Created intro slide 4/5: Why Molmo2 (5.3s)
2026-04-08 00:35:04 [INFO]   Created intro slide 5/5: Getting Started (5.2s)
2026-04-08 00:35:04 [INFO] --- Downloading demo images ---
2026-04-08 00:35:04 [INFO]   Downloaded image 1/5: https://huggingface.co/datasets/huggingface/documentation-im
2026-04-08 00:35:04 [INFO]   Downloaded image 2/5: https://huggingface.co/datasets/huggingface/documentation-im
2026-04-08 00:35:04 [INFO]   Downloaded image 3/5: https://images.unsplash.com/photo-1570295999919-56ceb5ecca61
2026-04-08 00:35:04 [INFO]   Downloaded image 4/5: https://images.unsplash.com/photo-1514888286974-6c03e2ca1dba
2026-04-08 00:35:04 [INFO]   Downloaded image 5/5: https://images.unsplash.com/photo-1533738363-b7f9aef128ce?w=
2026-04-08 00:35:04 [INFO] --- Creating demo slides with Molmo2 descriptions ---
2026-04-08 00:35:07 [INFO]   [image 1] inference (2.7s): A large, plump cat with a mix of brown, gray, and black fur is walking through snow, its eyes closed and ears perked up
2026-04-08 00:35:12 [INFO]   Created demo slide 1/10 (5.5s)
2026-04-08 00:35:14 [INFO]   [image 2] inference (1.9s): A breathtaking fantasy landscape featuring a small house perched on a cliff overlooking a serene lake, surrounded by lush greenery, towering mountains, and a majestic
2026-04-08 00:35:20 [INFO]   Created demo slide 2/10 (5.5s)
2026-04-08 00:35:22 [INFO]   [image 3] inference (1.9s): A young man with short, wavy brown hair and striking blue eyes gazes directly at the camera, wearing a dark blue crew-neck shirt against a
2026-04-08 00:35:27 [INFO]   Created demo slide 3/10 (5.4s)
2026-04-08 00:35:29 [INFO]   [image 4] inference (1.8s): A black and white cat with striking green eyes is perched on a wooden surface, gazing directly at the camera with an intense, focused expression against
2026-04-08 00:35:34 [INFO]   Created demo slide 4/10 (5.3s)
2026-04-08 00:35:36 [INFO]   [image 5] inference (2.0s): A gray cat with a thick, fluffy coat is wearing round, gold-rimmed sunglasses with yellow lenses, giving it a cool and stylish appearance.
2026-04-08 00:35:42 [INFO]   Created demo slide 5/10 (5.3s)
2026-04-08 00:35:42 [INFO] --- Downloading and processing demo videos ---
2026-04-08 00:35:42 [INFO]   Downloading video 1/3: https://storage.googleapis.com/oe-training-public/demo_videos/many_penguins.mp4
2026-04-08 00:35:48 [INFO]   [video_qa] inference (5.9s) Q: Which animal appears in the video?
2026-04-08 00:35:48 [INFO]   [video_qa] A: Penguins appear in the video.
2026-04-08 00:35:54 [INFO]   Created video slide 6/10 (5.9s)
2026-04-08 00:35:54 [INFO]   Downloading video 2/3: https://storage.googleapis.com/oe-training-public/demo_videos/many_penguins.mp4
2026-04-08 00:36:16 [INFO]   [pointing] inference (22.2s) Q: Point to the penguins.
2026-04-08 00:36:16 [INFO]   [pointing] A: <points coords="8.5 1 539 211;15.5 2 539 211;17.0 3 418 342;23.5 4 067 591 5 134 632 6 259 642 7 373 676 8 654 736;25.0 9 148 388 10 473 326 11 746 326;27.0 12 473 529;30.0 13 547 426;32.0 14 163 262 15 571 556;38.5 16 539 296;40.5 17 266 762 18 311 302 19 866 112;47.5 20 418 776 21 724 426;50.0 22 495 526">penguins</points>
2026-04-08 00:36:22 [INFO]   Created video slide 7/10 (6.1s)
2026-04-08 00:36:22 [INFO]   Downloading video 3/3: https://storage.googleapis.com/oe-training-public/demo_videos/arena_basketball.mp4
2026-04-08 00:36:45 [INFO]   [tracking] inference (21.7s) Q: Track the player who is dunking
2026-04-08 00:36:45 [INFO]   [tracking] A: <tracks coords="0.0 1 766 588;0.5 1 746 569;1.0 1 730 631;1.5 1 646 631;2.0 1 598 631;2.5 1 577 694;3.0 1 520 629;3.5 1 548 676;4.0 1 538 681;4.5 1 527 679;5.0 1 516 674;5.5 1 488 681;6.0 1 459 694;6.5 1 445 631;7.0 1 405 531;7.5 1 366 481;8.0 1 309 539;8.5 1 266 621;9.0 1 205 694;9.5 1 141 681;10.0 1 066 660;10.5 1 016 656">player who is dunking</tracks>
2026-04-08 00:36:55 [INFO]   Created video slide 8/10 (10.3s)
2026-04-08 00:36:55 [INFO] --- Downloading and processing multi-image demos ---
2026-04-08 00:36:55 [INFO]   Downloaded multi-image 1.1: https://picsum.photos/id/237/536/354
2026-04-08 00:36:56 [INFO]   Downloaded multi-image 1.2: https://vllm-public-assets.s3.us-west-2.amazonaws.com/vision
2026-04-08 00:37:13 [INFO]   [multi_image] inference (17.3s) Q: Compare these images.
2026-04-08 00:37:13 [INFO]   [multi_image] A: These two images present a striking contrast in both subject matter and mood.

The first image showcases a black Labrador puppy sitting on a wooden deck. The puppy's glossy coat and expressive eyes create a sense of innocence and curiosity. The black and white photograph gives the scene a timeless, nostalgic quality. The wooden deck provides a rustic backdrop, enhancing the overall warmth of the image.

In contrast, the second image captures a breathtaking view of a cherry blossom tree in full bloom. The delicate pink flowers create a vibrant canopy against a clear blue sky. Through this floral archway, we can see a tall, white building in the background, possibly a skyscraper or observation tower. This image evokes a sense of springtime beauty and urban serenity.

While the first image focuses on a single subject - the puppy - the second image presents a more complex composition with multiple elements: the cherry blossoms, the building, and the sky. The puppy image is more intimate and close-up, while the cherry blossom image offers a wider perspective.

Both images, however, share a common theme of natural beauty and tranquility. The puppy's gaze suggests a connection to the world around it, while the cherry blossoms create a peaceful, almost magical atmosphere.

In essence, these images represent two different aspects of nature's beauty - one in the form of a young animal, and the other in the form of a blooming tree - each captured in a way that highlights their unique charm and appeal.
2026-04-08 00:37:20 [INFO]   Created multi-image slide 9/10 (6.5s)
2026-04-08 00:37:20 [INFO]   Downloaded multi-image 2.1: https://storage.googleapis.com/oe-training-public/demo_image
2026-04-08 00:37:20 [INFO]   Downloaded multi-image 2.2: https://storage.googleapis.com/oe-training-public/demo_image
2026-04-08 00:37:48 [INFO]   [multi_image_point] inference (28.4s) Q: Point to the boats
2026-04-08 00:37:48 [INFO]   [multi_image_point] A: <points coords="1 1 098 630 2 165 628 3 220 610 4 225 380 5 270 380 6 270 598 7 330 600 8 345 380 9 385 610 10 458 380 11 505 380 12 575 380 13 575 600 14 620 380 15 685 380 16 740 380 17 745 600 18 805 598 19 865 370 20 925 600;2 21 145 421 22 190 602 23 195 421 24 235 602 25 238 421 26 285 602 27 328 602 28 370 416 29 378 602 30 418 416 31 465 602 32 508 416 33 510 602 34 555 602 35 595 416 36 645 416 37 695 602 38 735 602 39 780 602 40 828 416 41 830 572 42 870 416 43 968 416 44 975 602">boats</points>
2026-04-08 00:37:55 [INFO]   Created multi-image slide 10/10 (6.5s)
2026-04-08 00:37:55 [INFO] --- Creating outro ---
2026-04-08 00:38:04 [INFO]   Outro created (9.3s)
2026-04-08 00:38:04 [INFO] --- Concatenating all clips ---
2026-04-08 00:38:14 [INFO] Concatenation done (9.6s)
2026-04-08 00:38:14 [INFO] ==================================================
2026-04-08 00:38:14 [INFO] Video created: ./data/molmo2_intro.mp4
2026-04-08 00:38:14 [INFO] Duration: 68.0 seconds
2026-04-08 00:38:14 [INFO] Resolution: 1280x720
2026-04-08 00:38:14 [INFO] Total slides: 16
2026-04-08 00:38:14 [INFO] Total elapsed: 256.2s
2026-04-08 00:38:14 [INFO] Syncing to HuggingFace bucket...