Composition Color Randomizer - Procedural Based Forced Variations
5.0
0 reviewsDescription
(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)
👉 [Please add here]
Discussion
(No comments yet)
Loading...
Reviews
No reviews yet
Versions (1)
- latest (2 years ago)
Node Details
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)
- LeReS-DepthMapPreprocessor (1)
- ReroutePrimitive|pysssss (9)
- LoraLoader|pysssss (1)
- UltimateSDUpscale (1)
- CLIP Positive-Negative (WLSH) (3)
Model Details
Checkpoints (1)
c3_v110.safetensors
LoRAs (1)
Quality\detail_slider_v4.safetensors