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Independent publisher

WILLIAMS OPOKU ANTWI

Willie999

Edge AI

Models in Library2
Datasets in Library0
Models on Hugging Face8
Followers4

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This profile connects the 2 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Image to image.

Reported licenses: mit. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

Model · Image to image

photo-to-sketch-unet

WILLIAMS OPOKU ANTWI

This model is a custom PyTorch U-Net architecture (SketchUNet) trained to convert RGB photos into target outline sketches using the rhfeiyang/photo-sketch-pair-500 dataset. - Combined Sketch Loss (L1 + Sobel Edge Loss): 0.14555 - Mean Absolute Error (L1 / MAE): 0.04962 This model converts an RGB image into a grayscale sketch using a PyTorch U-Net architecture. The model checkpoint is available as: Once the model architecture is defined, inference can be reduced to

Open weights mit 31M parameters