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BlenderNekoComfyUI nodes for flexible noise control in image generation workflows
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This repository provides six custom nodes for ComfyUI, designed to offer enhanced control and flexibility over the noise generation and manipulation process. It targets users looking to implement advanced image generation techniques such as creating subtle variations of existing outputs or reconstructing the noise parameters of a given image.
How It Works
The nodes facilitate fine-grained control over latent space noise. Key nodes include Noisy Latent Image for generating noise with specified parameters (source, seed, dimensions), Slerp Latents for interpolating between two latent batches, and Inject Noise for applying generated or manipulated noise to latents. The Unsampler node performs the inverse of a sampling process, calculating the noise required to generate a target image, enabling "un-sampling" workflows. The Get Sigma node assists in determining appropriate noise strengths for sampler integration.
Quick Start & Requirements
custom_nodes directory.example_workflow folder.Highlighted Details
Unsampler node allows for the reconstruction of noise from an existing image, facilitating "un-sampling."Slerp Latents and Get Sigma nodes enable sophisticated noise blending and strength calculation for iterative denoising.Maintenance & Community
Licensing & Compatibility
Limitations & Caveats
add_noise and return_with_leftover_noise settings should be disabled.1 year ago
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