I want to output it at 3840 x 2160, or 4K. As I mentioned at the beginning of this article, the resolution of this source clip is 1280 x 720, or 720p. This setting will determine the upscale rate of the output video. The next setting I will choose is the output size. This will tell Video Enhance AI to analyze the current frame and choose the settings it thinks would be optimal. With that model’s quadrant highlighted, I click the Auto-detect Settings button (which looks like a lightning bolt). I have several fine-tuning settings specifically with the Proteus model that I want to pay attention to. Now that I’ve selected the three AI models to compare, I need to choose what my model and output settings will be. Step 4 - Choosing model and output settings Have you ever viewed a low-resolution video at full screen? All of the details become blocky and it can almost be an impossible task to decipher what you’re looking at. And you probably know what I mean by “quite bad”. And there’s good reason for it! Depending on when a video was first digitally recorded or digitized from an analog source, the resulting clip could be very low resolution, making it look quite bad when viewing at full screen. In fact, one of the most prevalent video question themes I get asked has to do with how to make videos HD or 4K. One of the most common use cases I see for Video Enhance AI has to do with upscaling-or increasing the resolution of-videos. Step 4 - Choosing model and output settings.Step 1 - Load the video file into Video Enhance AI.Using Video Enhance AI to convert video to HD.
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Train the model in Google Colab, a cloud-based Jupyter Notebook environment with free GPUs.Gather text data for your character using one of these two methods: find pre-made datasets on Kaggle or make custom datasets from raw transcripts.The video version of this tutorial runs for a total of one hour and features the following topics: Other updates in this tutorial address changes in Hugging Face's model hosting services, including API changes that affect how we push the model to Hugging Face's model repositories. You may also create a custom dataset that captures the speech between you and your friends and build a chatbot that speaks like yourself! Since a lot of people are interested in building their own bots based on their favorite characters, I updated my tutorial to include an in-depth explanation on how to gather text data for any character, fictional or non-fictional. □ You can read more about my deployment post-mortem in this post. 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