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How to use DragGAN: The Future of AI-Driven Image Manipulation

In the thrilling realm of artificial intelligence (AI), innovation is the name of the game. In that spirit, we are thrilled to spotlight a revolutionary new tool called DragGAN. Developed by a team of leading researchers - Xingang Pan, Ayush Tewari, Thomas Leimkühler, Lingjie Liu, Abhimitra Meka, and Christian Theobalt - DragGAN stands at the frontier of AI image manipulation, as presented in the SIGGRAPH 2023 Conference Proceedings. This innovative tool enables interactive, point-based manipulation on the generative image manifold, propelling your digital creativity to the next level.


Video Guide:




Link to code: https://github.com/XingangPan/DragGAN



How to use DragGAN?

To get your journey started with DragGAN, you'll need to meet specific requirements, conveniently listed on the StyleGAN3 GitHub page. This sets the stage for you to utilize the transformative potential of AI for your image manipulation needs.


Once you have met these requirements, you're ready to step into the world of DragGAN. Download the pre-trained StyleGAN2 weights with the straightforward command: sh scripts/download_model.sh. This action will equip you with the pre-existing models necessary to start altering and enhancing your images.


For enthusiasts keen on exploring human figures or stunning landscapes, DragGAN offers weights for StyleGAN-Human and the Landscapes HQ (LHQ) dataset. Download these resources from the following links: StyleGAN-Human, LHQ, and store them under ./checkpoints.


Feel encouraged to explore other pretrained StyleGAN models that may better fit your creative pursuits.


Interactive Editing with DragGAN GUI

Entering the DragGAN GUI is as simple as running the script sh scripts/gui.sh. This user-friendly interface supports the editing of GAN-generated images. You can breathe life into a real image by first executing a GAN inversion with tools like PTI. Once this step is complete, load the new latent code and model weights to the GUI, and let your creativity run wild!


You can also experience the magic of DragGAN with the Gradio demo. Just type python visualizer_drag_gradio.py, and you're all set.


Giving Credit Where Credit's Due

The DragGAN project stands on the shoulders of StyleGAN3 and incorporates elements from StyleGAN-Human. This combination of powerful tools underlies the innovation that DragGAN brings to the table.


Navigating Licensing and Usage Conditions

While the DragGAN-specific code is licensed under CC-BY-NC, most of the project is subject to different license terms. All codes used or modified from StyleGAN3 fall under the Nvidia Source Code License. Importantly, all use and derivative of this code must maintain the watermark "AI Generated", a critical element in promoting transparency and acknowledging the role of AI in image creation.


(Note: This blog post serves to promote and share information about the DragGAN tool. The author of this post has no direct involvement in the DragGAN code.)


DragGAN opens up a world of potential for graphic designers, artists, content creators, and anyone interested in pushing the boundaries of digital imagery. With the point-and-click simplicity of this tool, users can create stunning, AI-enhanced images, revolutionizing their creative process. So why wait? Embrace the future of AI-driven image manipulation with DragGAN today!

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