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neural-style
4.6
Free Generally praised for its high-quality style transfer and flexibility but noted for requiring technical knowledge to set up.
A Torch implementation of neural style algorithm for transferring artistic styles to content images.
Free pricingUpdated 2026-03-17
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Style TransferImage Generation
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About neural-style
Neural-style is a Torch-based implementation of a neural algorithm for artistic style transfer. It leverages Convolutional Neural Networks (CNNs), specifically VGG-19, to extract and combine the content of one image with the style of another. The algorithm separates style and content representations, allowing users to render content images in the style of famous artworks. The user can control style scale and blend multiple style images. It utilizes optimization algorithms like L-BFGS and ADAM. Dependencies include Torch7, loadcaffe, CUDA, and cuDNN. The tool uses Lua scripting. OpenCL backend is also supported. NIN Imagenet models can be used for smaller memory GPUs.
Core Capabilities
Neural-style is a Torch-based implementation of a neural algorithm for artistic style transfer.
Main Tasks
Style Transfer
Explore all tools that specialize in style transfer. This domain focus ensures neural-style delivers optimized results for this specific requirement.
