AI content generation is about feeding your AI models with semantic and contextual information. The result is a platform that can ‘understand’ what an item is, and how it should be used. AI creates content using semantic knowledge in any form of content including video, 3d, VR and more.
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SVI 2.0 Pro for Wan 2.2 is amazing, allowing infinite length videos with no visible transitions. This took only 340 seconds to generate, 1280×720 continuous 20 seconds long video, fully open source. Someone tell James Cameron he can get Avatar 4 done sooner and cheaper.
I used workflow and custom nodes from wallen0322: https://github.com/wallen0322/ComfyUI-Wan22FMLF/blob/main/example_workflows/SVI%20pro.json submitted by /u/Fresh_Diffusor [link] [comments]
Train Your Large Model on Multiple GPUs with Tensor Parallelism
This article is divided into five parts; they are: • An Example of Tensor Parallelism • Setting Up Tensor Parallelism • Preparing Model for Tensor Parallelism • Train a Model with Tensor Parallelism • Combining Tensor Parallelism with FSDP Tensor parallelism originated from the Megatron-LM paper.
Factor Meal Delivery Promo: Free $200 Withings Body-Scan Scale
Factor meal kits offer a free $200 Withings body-scanning scale after a three-week subscription. I was afraid, then maybe a little motivated?