Github Repo:<a target="_blank" rel="ugc" href="https://github.com/lrzjason/Comfyui-LatentUtils">https://github.com/lrzjason/Comfyui-LatentUtils</a>RH: <a target="_blank" rel="ugc" href="https://www.runninghub.ai/post/1996105942674653186/?inviteCode=rh-v1279">https://www.runninghub.ai/post/1996105942674653186/?inviteCode=rh-v1279</a> ## 🌟 Overview This custom ComfyUI node performs **selective latent denoising and detail enhancement** using Fourier Transform (FFT) techniques. It intelligently separates image frequencies to: - Preserve and enhance important high-frequency details - Suppress background noise and artifacts - Output a visual preview of the processing mask Ideal for refining AI-generated images while maintaining sharp features and eliminating graininess. Supports models: - Wan vae (Qwen, etc) - Flux vae (ZImageTurbo, Flux1.dev, etc) - Other models not testeda

Files with SHA256: cf53f4aff840a175098c11cee5167a311a5fc46a05062f461a391ba98a82186e