Catacolabs

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Average Model Cost: $0.0000

Number of Runs: 21,498

Models by this creator

yearbook-pics

yearbook-pics

catacolabs

The "yearbook-pics" model is an Image-to-Image AI model that transforms user-supplied selfies into photos resembling those from a 1990's yearbook. The user inputs an image URL, a seed number for randomness, and a gender specification, and the model generates a new URL linking to the transformed image.

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$-/run

6.5K

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baby-pics

The 'baby-pics' model is an image-to-image model that takes as input a single photo from each parent and generates a future baby picture. It uses deep learning techniques to learn the relationship between parental features and the appearance of the baby. The model can be used to get a visual representation of how the potential baby might look like based on the appearance of the parents.

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$-/run

4.8K

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sdxl-ad-inpaint

sdxl-ad-inpaint

The sdxl-ad-inpaint is an Image-to-Image AI model created for generating product advertising images using SDXL. It takes inputs such as a seed for randomness, image URL, a prompt describing the image, image size, whether to apply image or not, scheduling method, product fill percentage, condition scale, and number of refinement and inference steps. The model's output is a URL for the generated advertising image. It can be used for creating modern and stylish decor images as per the provided prompt.

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$-/run

3.0K

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fat-or-fit

fat-or-fit is an image-to-image model that takes a single face photo as input and generates a modified image that shows how that person would look if they were either fat or fit. The model uses deep learning techniques to analyze and interpret the features of the input face and then generates a realistic and convincing modified image that reflects the desired modification. This model can be used for various purposes, such as visualizing potential health effects of weight changes or creating fictional character designs.

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$-/run

2.4K

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headshot-pics

headshot-pics is a model that takes as input a face image and generates a professional headshot as output. It utilizes image-to-image translation techniques to enhance the given face image and transform it into a high-quality headshot. The model is trained on a large dataset of professional headshots and can generate realistic and visually appealing headshots from various input images.

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$-/run

1.0K

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