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SD Hand Fixer Workflow

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Description

The given workflow is for testing and learning purposes. It shows how malformed hands can be fixed. One can use the VAE of the given Checkpoint or one can use an external VAE model. The workflow is designed to work with SD1.X models. The malformed hands are fixed using ControlNet. A preview is given of the detected hands and the masks which are used for inpainting. To use a meaningful ControlNet model is the prerequisite the one can get the desired results. The square output images have a resolution of 1024 x 1024 pixel by default. Original image as well as image with fixed hands will be saved as JPEG.

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  • - latest (8 months ago)

  • - v20241229-124529

Primitive Nodes (5)

Note (2)

Reroute (1)

Save_as_jpeg (2)

Custom Nodes (17)

ComfyUI

  • - CLIPTextEncode (2)

  • - CheckpointLoaderSimple (1)

  • - MaskToImage (1)

  • - PreviewImage (3)

  • - ControlNetApplyAdvanced (1)

  • - SetLatentNoiseMask (1)

  • - VAEDecode (2)

  • - KSampler (2)

  • - VAELoader (1)

  • - ControlNetLoader (1)

  • - EmptyLatentImage (1)

ComfyUI Nodes for Inference.Core

  • - MeshGraphormer-DepthMapPreprocessor (1)

Checkpoints (1)

absolutereality_v181.safetensors

LoRAs (0)