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multi-sample-sharpening

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wyrde multi sample sharpening with model upscale

Takes an image from text prompt and

  • samples it
  • latent upscales
  • resamples it
  • repeats
  • uses a 4x upscale model to increase the size again
  • saves it at a total of x8 size

Basically a series of hi-res fixes then an model upscale

Moving noodles switches between model vae and vae loader.

Example

1st Gen: 512x512

2nd Gen: 640x640

3rd Gen: 768x768

4tth Gen 1024x1024

then image is model upscaled with lollypop x4 (not shown since 26mb image)

Variations

Changing Schedulers and Samplers (not to mention models) can dramatically change results

  • Changed scheduler to noromal
  • steps to 12

  • Switched to regular VAE decode

  • Dreamshaper model

Resources

WAS nodes

Model

Uspcale

Embeds

Credit

Original workflow from davemane42

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