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Generating Long, High-Quality AI Videos with LongCat-Video in ComfyUI (Google Colab Setup)

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  A 27-minute 15fps video generated with ComfyUI on Google Colab.  LongCat-Video is an AI project that pushes the limits of video generation.  Unlike most AI video models that degrade in color or consistency after a few seconds, LongCat-Video enables generating videos longer than 30 seconds,  all while maintaining sharp image quality and stable colors . The models and code were optimized for ComfyUI by Kijai , one of the major contributors to the ComfyUI ecosystem. This optimization makes it much easier to experiment with LongCat-Video and generate long, coherent video sequences right from your browser. Running LongCat-Video on Google Colab I’ve created a Google Colab notebook that automatically sets up ComfyUI with the LongCat-Video models. So far, I’ve tested it on the L4 GPU , but it should also work on the free  T4 if you reduce the number of frames generated per sequence and set blocks_to_swap to 0 if the RAM crashes with the default settings. ...

The Illusion of Revelation: Deconstructing the Threat of AI 'Nudify' Apps

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  The recent proliferation of AI-driven deepfake technology that enables the removal of clothes from a person, often referred to as "nudify" apps, has triggered a wave of widespread alarm, perfectly encapsulated by headlines like "Australia moves to stamp out 'nudify' and stalking apps" and "AI-powered 'nudify' apps fuel deadly wave of digital blackmail." While the panic is understandable given the serious ethical and privacy concerns these fictions raise, a closer look at the underlying technology reveals that the resulting overreaction often outweighs the actual technical threat posed by the generated images themselves. The fundamental reality is that these apps are generative prediction tools, not revelatory ones, and understanding this technical distinction is crucial for mitigating public fear and preventing undue anxiety. The primary source of confusion lies in the false assumption that these apps somehow reveal or extract hidden i...

Wan 2.2 Google Colab Notebook for Text to Image/Video, Image to Video, and First-Last Frame to Video

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  A 1920x1080 image generated with wan2.2 The Notebook This is a guide on how to use a wan2.2 google colab notebook for highly impressive text to image, text to video, image to video, and two images (first & last frames) to video generation that outshine results from commercial platforms. Wan 2.2, which is an improvement on wan2.1, is the top open-source video generation model at the time of writing this guide, and the LoRAs built on wan2.1 can still work with wan2.2. This significantly expands its image and video generation capabilities. You can learn more about wan2.2 from this github repository:   https://github.com/Wan-Video/Wan2.2 This notebook enables you to generate at least 5 seconds of a standard definition video from a single image for free in about 13 minutes using the T4 GPU offered by google colab. It also enables you to generate a 4 second high-definition video for free in less than 35 minutes. You can also generate 1920x1080 images in less than 4 minute...

How to use Wan2.2 Google Colab Notebooks for Image to Video Generation

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You can also watch  this video guide. This is a guide on how to use two recently released wan2.2 google colab notebooks for a highly impressive image to video generation that compares favorably with similar platforms like Seedance 1.0, Hailuo 02, and Kling 2.0. Wan 2.2, which is an improvement on wan2.1, is the top open-source video generation model at the time of writing this guide, and the LoRAs built on wan2.1 can still work with wan2.2. This significantly expands its video generation capabilities. You can learn more about wan2.2 from this github repository:   https://github.com/Wan-Video/Wan2.2   Notebook 1 (Free!) The first notebook is titled WAN2.2 IMAGE TO VIDEO WITH LIGHTX2V LoRA and it can be found in this github repository: https://github.com/Isi-dev/Google-Colab_Notebooks . This notebook enables you to generate at least 5 seconds of a standard definition video from a single image for free in about 13 minutes using the T4 GPU offered by google colab....