Ernie Turbo image-to-image enhancement

This is an Image-to-Image enhancement workflow based on ERNIE-Image Turbo.

Users upload an image, and combined with prompts, the model redraws and optimizes details based on the original image. The entire workflow structure is very standard:
The image first goes through resolution control, is encoded into latent, then combined with prompts through the sampler to generate a new image, and finally decoded via VAE to output the final image.

Compared to standard Text-to-Image, the features of this workflow are:

• Can redraw styles based on the original image
• Can keep composition unchanged while optimizing details only
• Supports prompt-guided image variations
• Simple structure, high stability, suitable for building AI applications

Applicable scenarios:

• Image retouching / upscale redrawing
• Style transfer
• Secondary creation
• Portrait optimization / scene optimization

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