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Composition Color Randomizer - Procedural Based Forced Variations

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Description

(This template is used for Workflow Contest)

What this workflow does

👉 Forces image generation to randomize object/image composition & color

Create a prompt of "cyberpunk city street view" &  the same colors, same one-point perspective, comes up. This forces all images to have more diverse compositions.

Can be used with many other prompts -- like steampunk, architectural, interior or exterior shots. This method is more suitable for non-human-centric images. That's how you achieve a unique and varied visual outcome!

How to use this workflow

👉 3 points of prompt entries: The first section, top & bottom image prompts should be highly geometric shapes with color sets that you want.  The last entry should be the final item desired.


Tips about this workflow

👉 Keep the CN (controlnet) depth strength under 0.5 to give the system freedom to interpret it.

- Keep the CN color strength high for the opposite reason. Feel free to mess with the Image Blend (I've found a simple 50% normal mix to be a bit more predictable with colors)

- Keep the final render step count lower so the system doesn't override the variations

- the original latent should have a max 512 (on one side) to prevent highres oddities

🎥 Video demo link (optional)

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Primitive Nodes (0)

Custom Nodes (37)

ComfyUI

  • - EmptyLatentImage (2)

  • - KSamplerAdvanced (3)

  • - VAEDecode (3)

  • - ControlNetLoader (2)

  • - ControlNetApply (2)

  • - PreviewImage (5)

  • - SaveImage (1)

  • - VAEEncode (1)

  • - ImageBlend (1)

  • - UpscaleModelLoader (1)

  • - CheckpointLoaderSimple (1)

ComfyUI Nodes for Inference.Core

  • - LeReS-DepthMapPreprocessor (1)

  • - ReroutePrimitive|pysssss (9)

  • - LoraLoader|pysssss (1)

  • - UltimateSDUpscale (1)

  • - CLIP Positive-Negative (WLSH) (3)

Checkpoints (1)

c3_v110.safetensors

LoRAs (1)

Quality\detail_slider_v4.safetensors