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some nodes

CLIP NegPip+

Allows using negative weights in positive cond with orthogonal decomposition and smooth weight handling. Example: (sky,:-1.05)
Based on the implementation from ppm

Color Palette Extractor

Extracts N dominant colors via MiniBatchKMeans and outputs palette image plus CSV of hex codes.

Image Metadata Extractor

Reads PNG/TIFF info and outputs normalized prompt/settings summary as a single string.

Kuwahara Filter

Fast edge-preserving filter selecting mean color from the minimum-variance quadrant.

L₀ Smoothing Filter

Global edge-aware smoothing that flattens regions while preserving sharp boundaries.

Load LoRA (SDXL Blocks)

Allows setting block weights for an SDXL LoRA. Useful to avoid structural changes but keep the style i.e. only weighting input blocks.

LoRA Extract

Extracts the difference between two models as a LoRA with adjustable rank.
Uses the sd-mecha API

Load Image With Metadata

Loads image with embedded prompts/settings extraction, returns image, mask, and metadata text.

Local Laplacian Filter

Halo-free detail/tone manipulation via Laplacian pyramids with separable Gaussian blurs.

Kohya Lora Config

Parses a LoRA's header and extracts human-readable metadata as JSON.
Output compatible with Kohya's sd-scripts

ORBIT Merge

Direction-aware model merger decomposing deltas into parallel/orthogonal components with independent scaling.
Uses the sd-mecha API

Perturbed Attention Delta

Small edit of PAG with smart sigma-based scheduling.

Quantile Match Scaling

Stabilizes guidance by matching frequency-band quantiles to conditional distribution.

SADA Model Acceleration

Skips redundant diffusion steps using trajectory stability analysis for faster sampling.
Based on Stability-guided Adaptive Diffusion Acceleration

Structured Latent

Generate seeded empty latents with various initialization methods (perlin, gaussian, fractal, etc.)

Temperature Adjust

LAB-space white-balance adjustment with HSV saturation compensation, range -1.0…+1.0.

Token Delta Perturbation

Shuffles attention tokens using a scaled delta, with a cosine-decayed perturbation scale.
Based on Token Perturbation Guidance with utilities from ppm

Token Visualizer

Visualizes token influence via 2D wave path with normalized spikes.

Token Sculptor

Strengthens prompt adherence by nudging CLIP embeddings toward soft top-k neighbor blends.
Inspired by Vector Sculptor

Velocity Scaling

Reduces over-brightening in v-prediction models via epsilon scaling adaptation.
Based on Elucidating the Exposure Bias in Diffusion Models

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