ComfyUI-Dimensional-Latent-Perlin

ComfyUI-Dimensional-Latent-Perlin
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潜在空间Perlin噪声扩散模型兼容可调参数
在扩散模型潜在空间生成与模型维度匹配的Perlin噪声,支持参数调节、批处理与多模型兼容,可替代或增强随机噪声,提升图像生成一致性。
💡 在ComfyUI中生成与模型潜在空间匹配的Perlin噪声作为随机噪声替代。
🍴 3 Forks💻 Python🔄 2024-08-06
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https://pan.quark.cn/s/b6135d9bd930
📄 README

Dimensional Latent Perlin for ComfyUI

Description

Dimensional Latent Perlin is a custom node for ComfyUI that generates Perlin noise in the latent space. This node is designed to work seamlessly with various diffusion models and can be used as an alternative or complement to standard random noise generators in image generation pipelines.

Features

  • Generate Perlin noise that matches the latent space of diffusion models
  • Adjustable parameters for fine-tuning the noise generation
  • Compatible with different model architectures and latent space dimensions
  • Can adapt to existing latent images or model specifications
  • Supports batch processing
  • Installation

  • Clone this repository into your ComfyUI custom nodes directory via ComfyUI Manager or: