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Posted on • Originally published at aimodels.fyi

A beginner's guide to the Mirage-Ghibli model by Aaronaftab on Replicate

This is a simplified guide to an AI model called Mirage-Ghibli maintained by Aaronaftab. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Model Overview

Created by aaronaftab, mirage-ghibli transforms images into the distinctive Studio Ghibli art style at a fraction of the cost of GPT-4 Vision. This model joins a family of specialized image generators like studio ghibli but focuses on speed and cost efficiency. While models like sdxl lightning 4step prioritize raw generation speed, mirage-ghibli balances quality and performance.

Model Inputs and Outputs

The model accepts images and configuration parameters to control the transformation process. It provides granular control over the generation process through aspect ratios, model selection, and quality settings.

Inputs

  • Image: Source image for transformation
  • Aspect Ratio: Control output dimensions (1:1 to 21:9)
  • Model Type: Choose between "dev" or "schnell" versions
  • Guidance Scale: Fine-tune realism (0-10)
  • Inference Steps: Balance quality vs speed (1-50)
  • Safety Controls: Optional safety checker toggle

Outputs

  • Image Array: Generated images in WebP, JPG, or PNG format
  • Multiple Outputs: Up to 4 variations per request

Capabilities

The model excels at adapting images to ...

Click here to read the full guide to Mirage-Ghibli

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