FREE AI Deepfake: Control Expressions & Emotion | Image to Video with Live Portrait in Google Colab

Prompt Revolution
22 Jul 202404:35

TLDRThis video demonstrates how to use Live Portrait, an advanced deepfake tool, to animate images with video expressions. It introduces three online methods: Hugging Face, Replicate, and Google Colab, highlighting their features and limitations, and shows how to create realistic animated videos.

Takeaways

  • 😀 Live Portrait is an advanced, open-source deepfake tool that can animate images with complex facial expressions from a source video.
  • 🔍 The tool is developed by Quow, the company behind Clling AI, a leading AI video generator.
  • 💻 To use Live Portrait, you can install it on your computer, but it requires a graphics card.
  • 🌐 Three online methods are presented for using Live Portrait for free without installation.
  • 📷 The first method uses Hugging Face, where you can upload an image and a driving video to animate the image.
  • 🎥 The aspect ratio of the video should be 1:1 for optimal results with the Hugging Face method.
  • 🖼️ Examples of different image styles, including black and white photos, realistic photos, oil paintings, and fictional statues, can be animated with Hugging Face.
  • 🔄 The second method, Replicate, offers more control over settings like video frame load cap and lip/eye retargeting but is limited to 5-second videos.
  • 🔧 Google Colab is the third method, allowing users to run two cells sequentially with a T4 GPU selected for processing.
  • 📁 With Google Colab, users need to upload their video and image files, copy their paths, and adjust them in the cells before running the process.
  • 💾 After processing in Google Colab, the animated video can be downloaded from the 'animations' folder within the 'live portrait' directory.
  • 🚀 The video demonstrates the potential of AI in creating realistic and impressive animated results from still images.

Q & A

  • What is Live Portrait and how does it work?

    -Live Portrait is an advanced, open-source deepfake tool that maps the expressions from a source video onto a still image, enabling the image to mimic complex facial expressions and movements without distortion.

  • How can I access and install Live Portrait?

    -You can access Live Portrait by opening its GitHub repository from the provided link in the description. It requires installation on your computer and a graphics card.

  • What are the three easy online methods to use Live Portrait for free as mentioned in the script?

    -The three methods are: 1) Using Hugging Face, 2) Using Replicate, and 3) Using Google Colab. Each method has its own interface and process for uploading and processing the source image and video.

  • What should be the aspect ratio of the video when using Hugging Face?

    -The aspect ratio of the video should be 1:1 when using Hugging Face to ensure proper mapping of expressions.

  • Who developed Live Portrait?

    -Live Portrait is developed by Quow, the same company behind Clling AI, which is known for being one of the best AI video generators.

  • What are some example image styles that can be used with Live Portrait as shown in the script?

    -The example image styles include black and white pictures of famous people, realistic photos, oil paintings, and even fictional statues.

  • What is the limitation of the Replicate method mentioned in the script?

    -The Replicate method offers more control but cannot create videos longer than 5 seconds.

  • How do you select the T4 GPU in Google Colab?

    -In Google Colab, you select the T4 GPU by clicking 'Runtime' and choosing 'Change runtime type', then ensuring the T4 GPU is selected.

  • What is the process of uploading video footage and an image in Google Colab as described in the script?

    -In Google Colab, you go to the left panel, click on 'Files' to open the file upload window, upload your video and image, copy their paths, and paste them into the respective cells.

  • How can you download the generated video after using Google Colab?

    -After the process is complete, you can download the video by navigating to the left panel, expanding the 'live portrait' folder, then the 'animations' folder, clicking the three dots next to the video file, and selecting the download option.

  • What does the script suggest for making another video after the initial process in Google Colab?

    -To make another video, simply upload the new image and video, adjust their paths in the second cell, and run the second cell again. The new generations will be available in the 'animations' folder.

Outlines

00:00

🎬 Introduction to Live Portrait Deepfake Tool

This paragraph introduces an advanced open-source deepfake tool called Live Portrait. It explains how the tool works by mapping video expressions onto a photo, enabling it to talk, sing, and handle complex facial expressions without distortion. The speaker provides a link to the GitHub repository for installation and suggests three easy online methods to use the tool for free. The first method involves using Hugging Face, where users can upload their source image and driving video, ensuring the video aspect ratio is 1:1. The paragraph also mentions that Live Portrait is developed by Quow, the company behind Clling AI, which is known for its AI video generators.

🖼️ Using Hugging Face for Live Portrait

The speaker demonstrates how to use Hugging Face to utilize the Live Portrait tool. Users can upload their source image and driving video on the platform, with the video aspect ratio maintained at 1:1. The tool allows users to select example images and videos or upload their own. After uploading, users click 'animate' and wait a few seconds to see the video that replicates the expressions flawlessly. The paragraph showcases various image styles used in the generation process, such as black and white pictures, realistic photos, oil paintings, and fictional statues, emphasizing the impressive outcomes.

🔄 Exploring the Replicate Method

The speaker introduces the second method, Replicate, which offers more control over the deepfake process. Users can upload an example image or their own and change the driving video URL. Advanced settings are available, such as video frame load cap, size scale ratio, and lip and eye retargeting. However, the speaker notes that Replicate cannot create videos longer than 5 seconds. The process involves running the tool with default settings, which are usually sufficient, and the output is presented as a short video clip.

💻 Using Google Collab for Live Portrait

The third method discussed is using Google Collab, which requires selecting the T4 GPU in the runtime settings. The user must connect to the GPU and run two segments or cells sequentially. The first cell initializes the process, and the second cell requires uploading the video footage and image. Paths for these files need to be adjusted in the script. After running the second cell, a green check mark indicates completion, and the user can download the video from the 'animations' folder. The speaker emphasizes the ease of making another video by simply uploading new files and adjusting paths without rerunning all cells.

🌟 Conclusion and Call to Action

In conclusion, the speaker highlights the incredible potential of the Live Portrait technology and encourages viewers to use it for free. They remind viewers of the three methods discussed: Hugging Face, Replicate, and Google Collab. The speaker ends by asking viewers to like the video if they found it helpful and to stay tuned for more content.

Mindmap

Keywords

💡Deepfake

Deepfake refers to a technology that uses artificial intelligence to manipulate or generate visual media, particularly videos, in which a person in an existing image or video is replaced with another person's likeness. In the context of the video, deepfake technology is utilized to map expressions from a source video onto a static image, creating a talking or emoting portrait without distortion.

💡Live Portrait

Live Portrait is an advanced, open-source deepfake tool mentioned in the video. It allows users to input an image and a source video, and the tool will then apply the video's expressions to the image, enabling it to mimic complex facial expressions and movements. The script describes Live Portrait as a tool developed by Quow, the company behind Clling AI, and showcases its ability to handle various image styles.

💡Aspect Ratio

Aspect ratio is the proportional relationship between the width and height of an image or video, commonly expressed as two numbers separated by a colon (e.g., 16:9). In the video script, it is mentioned that the aspect ratio of the video should be 1:1 when using the Hugging Face interface, indicating that the width and height of the video should be equal for optimal results.

💡Hugging Face

Hugging Face is an online platform mentioned in the script that provides an interface for users to upload their source image and driving video for the Live Portrait deepfake tool. The platform allows users to select example images and videos or upload their own, and then animate them to replicate expressions from the driving video.

💡Replicate

Replicate is another online method mentioned in the script for using the Live Portrait tool. It offers an interface where users can upload an example image and driving video URL, and then adjust advanced settings such as video frame load cap and lip and eye retargeting. However, it is noted that Replicate cannot create videos longer than 5 seconds.

💡Google Colab

Google Colab, or Colaboratory, is a free cloud-based platform that allows users to write and execute Python code through a web browser. In the video script, it is described as a method to use the Live Portrait tool by running two segments or cells in sequence after selecting the T4 GPU and connecting to it. This method does not have the 5-second limit seen with Replicate.

💡T4 GPU

T4 GPU refers to a specific model of graphics processing unit (GPU) offered by NVIDIA. In the context of the video, selecting the T4 GPU in Google Colab ensures that the computational resources required for running the Live Portrait deepfake tool are available, allowing for the processing of the image and video files.

💡Runtime Type

Runtime type in Google Colab refers to the type of computing environment that is allocated to a user's notebook. Changing the runtime type to select the T4 GPU, as mentioned in the script, is necessary for accessing the GPU's processing power, which is crucial for the deepfake video generation process.

💡Lip and Eye Retargeting

Lip and eye retargeting is a feature in some deepfake tools, including the Live Portrait, that allows for the precise alignment and synchronization of lip movements and eye expressions with the source video. This feature ensures that the generated video looks natural and the facial expressions are accurately mapped onto the image.

💡Animations Folder

The animations folder is a directory within the Live Portrait tool's file structure in Google Colab. It is where the generated deepfake videos are stored after the processing is complete. Users can access this folder to download their completed videos to their computers.

Highlights

Live Portrait is an advanced, open-source deepfake tool that can map video expressions onto a photo.

Users can input an image and a source video to create a talking or singing portrait with complex facial expressions.

Live Portrait is developed by Quow, the company behind Clling AI, a leading AI video generator.

Three easy online methods to use Live Portrait for free are presented.

The first method uses Hugging Face to upload images and videos for the animation process.

Example images and videos are provided on Hugging Face for users to experiment with.

The second method, Replicate, offers more control but limits video length to 5 seconds.

Replicate allows users to upload their own images and adjust advanced settings for the animation.

Google Colab is the third method, providing a more powerful platform for creating longer animations.

Users need to select a T4 GPU runtime type in Google Colab for optimal performance.

Google Colab requires users to connect to the GPU and run two segments or cells in sequence.

Files can be uploaded in Google Colab for the animation process, and paths need to be adjusted accordingly.

The final animation can be downloaded from the 'animations' folder in Google Colab.

Live Portrait's technology showcases the potential of AI in creating realistic and expressive video content.

The video provides a step-by-step guide on how to use Live Portrait for free.