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Latent Upscale Workflow

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Description

The latent can be upscaled directly but the loss in quality is important. That means that the second pass after the upscale has to be done at a very high denoise (0.55+).

This option is offered as it's very inexpensive computationally and it can be useful if you don't need the final image to be 100% of the initial generation.

If the final image can be rather different from the first pass, you should use latent upscale as it's faster and very light computationally.

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  • - latest (5 months ago)

  • - v20240102-075351

Primitive Nodes (2)

Note (2)

Custom Nodes (12)

ComfyUI

  • - CLIPTextEncode (2)

  • - SaveImage (1)

  • - VAEDecode (2)

  • - PreviewImage (1)

  • - LatentUpscaleBy (1)

  • - KSampler (2)

  • - EmptyLatentImage (1)

  • - VAELoader (1)

  • - CheckpointLoaderSimple (1)

Checkpoints (1)

dreamshaper_8.safetensors

LoRAs (0)