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Champ flow (fast and light)

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Description

This is the deployment workflow for Champ, characterized by its fast and lightweight performance (it can run on machines with 24GB of RAM or less).

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CongDC

CongDC

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6.9K
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    sXzLbKysTuqySn6gwYc5Cw.png (1.3 MB)
    Download (3).mp4 (2.9 MB)

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  • - latest (2 years ago)

Primitive Nodes (31)

BDXTestInt (1)

Display Int (rgthree) (3)

GetNode (9)

Reroute (13)

SetNode (3)

champ_model_loader (1)

champ_sampler (1)

Custom Nodes (43)

ComfyUI

  • - InvertMask (2)

  • - PreviewImage (9)

  • - ImageCompositeMasked (6)

  • - EmptyImage (2)

  • - EmptyLatentImage (1)

  • - LoadImage (1)

  • - ImageScaleToTotalPixels (1)

  • - CheckpointLoaderSimple (1)

ComfyUI Essentials

  • - GetImageSize+ (1)

  • - ImageResize+ (1)

ComfyUI Impact Pack

  • - ImpactImageBatchToImageList (2)

  • - MaskListToMaskBatch (2)

Comfyui lama remover

  • - LamaRemover (2)

ComfyUI Nodes for Inference.Core

  • - PixelPerfectResolution (1)

  • - DWPreprocessor (1)

  • - DepthAnythingPreprocessor (1)

  • - DensePosePreprocessor (1)

ComfyUI-BiRefNet

  • - BiRefNet (3)

ComfyUI-VideoHelperSuite

  • - VHS_LoadVideo (1)

  • - VHS_VideoCombine (1)

ComfyUI's ControlNet Auxiliary Preprocessors

  • - DSINE-NormalMapPreprocessor (1)

KJNodes for ComfyUI

  • - GrowMaskWithBlur (2)

Checkpoints (1)

sd15/v1-5-pruned.ckpt

LoRAs (0)