paella_fast_outpainting
Maintainer: arielreplicate
5
| Property | Value |
|---|---|
| Run this model | Run on Replicate |
| API spec | View on Replicate |
| Github link | View on Github |
| Paper link | View on Arxiv |
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Model overview
paella_fast_outpainting is a fast image outpainting model developed by arielreplicate. This model is similar to other outpainting models like sdxl-outpainting-lora, which uses PatchMatch to improve mask quality, and realisticoutpainter, which combines Stable Diffusion and ControlNet for outpainting. paella_fast_outpainting aims to provide a fast and efficient outpainting solution.
Model inputs and outputs
paella_fast_outpainting takes an input image, a prompt, and the relative location and size of the output image. It then generates an expanded version of the input image based on the provided parameters.
Inputs
- Prompt: A text description to guide the outpainting process
- Input Image: The image to be expanded
- Input Location: The relative location of the input image on the canvas (e.g.,
0.5,0.5for the center) - Output Relative Size: The desired size of the output image relative to the input (e.g.,
1.5,1.5for 1.5 times larger)
Outputs
- Output Images: An array of expanded images based on the input parameters
Capabilities
paella_fast_outpainting is capable of quickly generating expanded versions of input images. This can be useful for tasks like creating panoramic images, extending the canvas of artwork, or generating larger versions of photos.
What can I use it for?
paella_fast_outpainting can be used for a variety of creative and practical applications, such as:
- Expanding landscape or cityscape photos to create panoramic images
- Extending the canvas of digital paintings or illustrations
- Generating larger versions of product photos or other images for use in marketing or e-commerce
- Experimenting with different outpainting techniques and exploring the capabilities of AI-generated content
Things to try
Try experimenting with different input prompts, locations, and relative sizes to see how the model generates expanded images. You could also try combining paella_fast_outpainting with other models like deoldify_video to colorize and expand old footage, or realistic-vision-v5-inpainting to inpaint and outpaint images in a seamless way.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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