This is a simplified guide to an AI model called Style-Transfer maintained by Philz1337x. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Model overview
The style-transfer model allows you to apply the style of one image to another. This can be useful for creating artistic renditions of your photos or generating unique artwork. Compared to similar models like clarity-upscaler, style-transfer focuses on transferring the artistic style rather than just enhancing image quality. It can produce results that are more expressive and visually striking than a pure upscaler.
Model inputs and outputs
The style-transfer model takes two key inputs: the image you want to apply the style to, and the reference image that will provide the artistic style. You can also adjust parameters like the strength of the style transfer and the number of inference steps to control the output.
Inputs
- image: The image you want to apply the style to
- image_style: The reference image that will provide the artistic style
- prompt: A text prompt to guide the style transfer (optional)
- negative_prompt: A text prompt to avoid certain styles or elements (optional)
- guidance_scale: The scale for classifier-free guidance (default 8)
- style_strength: How much the style should be applied (default 0.4)
- structure_strength: How much the structure should be preserved (default 0.6)
- num_inference_steps: The number of denoising steps (default 30)
- seed: A random seed value (optional)
Outputs
- An array of one or more images with the applied style transfer
Capabilities
The style-transfer model can take a ...
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