InstantDrag
I
Instantdrag
Overview :
InstantDrag is an optimized process that enhances interactivity and speed by using only images and drag instructions as input. This technology consists of two carefully designed networks: the drag-condition optical flow generator (FlowGen) and the motion-conditioned diffusion model (FlowDiffusion). InstantDrag learns the motion dynamics of drag image editing based on real-world video datasets by breaking down tasks into motion generation and motion-conditioned image generation. It can quickly perform realistic edits without requiring masks or text prompts, making it a promising solution for interactive, real-time applications.
Target Users :
InstantDrag is designed for designers, photographers, and video editors who need fast and precise image editing. It is particularly suitable for users seeking a real-time interactive editing experience, whether in a professional setting or for personal projects.
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Use Cases
Designers use InstantDrag to quickly adjust the positioning of objects in images to meet design requirements.
Photographers fine-tune captured photos with InstantDrag to enhance composition.
Video editors utilize InstantDrag to swiftly correct the positions of elements in videos during post-production.
Features
Workflow designed for fast, realistic edits without the need for optimization.
Simplified operation using only an image and drag instructions as inputs.
Collaboration between FlowGen and FlowDiffusion networks improves editing efficiency.
FlowGen uses the Pix2Pix framework to transition from sparse flow to dense optical flow.
FlowDiffusion is conditioned on images and downsampled optical flow, based on Stable Diffusion v1.5.
Trained on the large facial video dataset CelebV-Text to optimize drag image editing.
Demonstrates good generalization capabilities even on non-facial images.
How to Use
Visit the InstantDrag website and upload the image you need to edit.
Input drag instructions to specify the image areas to be moved or edited.
InstantDrag's FlowGen network will estimate the dense optical flow.
The FlowDiffusion network will edit the original image using the estimated optical flow.
View the edited image and make further adjustments as necessary.
Once editing is complete, download or save the edited image.
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