ip_adapter-sdxl-face
Maintainer: lucataco
27
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| API Spec | View on Replicate |
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| Paper Link | View on Arxiv |
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Model overview
The ip_adapter-sdxl-face model is a text-to-image diffusion model designed to generate SDXL images with an image prompt. It was created by lucataco, who has also developed similar models like ip-adapter-faceid, open-dalle-v1.1, sdxl-inpainting, pixart-xl-2, and dreamshaper-xl-turbo.
Model inputs and outputs
The ip_adapter-sdxl-face model takes several inputs to generate SDXL images:
Inputs
- Image: An input face image
- Prompt: A text prompt describing the desired image
- Seed: A random seed (leave blank to randomize)
- Scale: The influence of the input image on the generation (0 to 1)
- Num Outputs: The number of images to generate (1 to 4)
- Negative Prompt: A text prompt describing what the model should avoid generating
Outputs
- Output Images: One or more SDXL images generated based on the inputs
Capabilities
The ip_adapter-sdxl-face model can generate a variety of SDXL images based on a given face image and text prompt. It is designed to enable a pretrained text-to-image diffusion model to generate these images, taking into account the provided face image.
What can I use it for?
You can use the ip_adapter-sdxl-face model to generate SDXL images of people in various settings and outfits based on text prompts. This could be useful for applications like photo editing, character design, or generating visual content for marketing or entertainment purposes.
Things to try
One interesting thing to try with the ip_adapter-sdxl-face model is to experiment with different levels of the scale parameter, which controls the influence of the input face image on the generated output. You can try varying this parameter to see how it affects the balance between the input image and the text prompt in the final result.
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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