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Friday

Thursday

  2. WanSelected

    Wan3.0 ranks first in the new Artificial Analysis video generation benchmark

    Wan3.0 ranks first overall in the newly launched Artificial Analysis AA-Video-T2V v2.0 text-to-video benchmark, and leads in 10 of 20 category leaderboards, including cartoon and anime styles and animation and gaming use cases, with a video cost of 12 USD per minute. The benchmark is based on more than 1000 prompts and over 68000 human preference votes from private evaluators in the US and UK, and uniformly judges models at 1080p high bitrate. Wan officially thanks the team, the evaluators, and the creators who use Wan.

    Wan3.0 ranks first overall in the newly launched Artificial Analysis AA-Video-T2V v2.0 text-to-video benchmark, and leads in 10 of 20 category leaderboards, including cartoon and anime styles and animation and gaming use cases, with a video cost of 12 USD per minute. The benchmark is based on more than 1000 prompts and over 68000 human preference votes from private evaluators in the US and UK, and uniformly judges models at 1080p high bitrate. Wan officially thanks the team, the evaluators, and

    Matched fieldsTitle、Summary

    #company#Evaluations / benchmarks#Video#Image generation

Wednesday

Tuesday

  3. AWS Machine Learning

    Generating Images and Videos with vLLM-Omni on SageMaker AI (Part 2)

    On Amazon SageMaker AI, deploy two endpoints using the same AWS vLLM-Omni DLC image: a real-time endpoint running FLUX.2-klein-4B to generate images, and an asynchronous endpoint running Wan2.1-VACE-1.3B for image-conditioned video generation. A text prompt first generates a PNG, which is then sent along with a motion prompt to the video endpoint; the generated MP4 is retrieved from Amazon S3, and the example also provides a command-line workflow and an optional Streamlit interface.

    Matched fieldsTitle、Summary、Body

    #lab#Tutorials / practice#English text is being prepared.#Multimodal

Monday