<h1 id="flsampler-(bss)-for-comfyui">FLSampler (BSS) for ComfyUI 🔬</h1>A high-performance custom sampler inspired by the physiology of human sight (**Foveated Vision**). Engineered to deliver stunning cinematic clarity, rich micro-textures (skin, hair, fabrics), and precise depth-of-detail control inside the latent space—with zero performance overhead.&gt; ⚡ Ultimate Speed &amp; Quality Combo: &gt; To achieve the ultimate balance of breathtaking visual clarity and extreme speed, we highly recommend pairing this node with our optimization suite <a rel="ugc" href="https://github.com/BlackSnowSkill/ANIMA_BOOSTER">ANIMA_BOOSTER</a>🔗 GitHub Repository (Full Guide &amp; Physics): <a target="_blank" rel="ugc" href="https://github.com/BlackSnowSkill/ComfyUI-BSS_FLSampler">https://github.com/BlackSnowSkill/ComfyUI-BSS_FLSampler</a><hr /><h3 id="how-it-works">🔬 How it Works</h3>Instead of uniform denoising, FLSampler selectively enhances latent focus zones:Differential Latent Analysis: Dynamically tracks where structures and object boundaries are forming.Local Contrast (Sharpness Boost): Unsharp-masks active focus zones directly in latent space for ultra-sharp details (safe default <code>0.5</code>, range <code>0.0–3.0</code>).Stochastic Texture Injection: Adds controlled micro-noise to focus areas, naturally resolving into skin pores, clothing fabrics, wood grains, or hair, preventing flat plastic surfaces.BSS Premium UI: Integrated dark-matte &amp; gold custom theme.<hr /><h3 id="quick-installation">📂 Quick Installation</h3>1. Open ComfyUI Manager -&gt; Install via Git URL.2. Paste this URL: <code>https://github.com/BlackSnowSkill/ComfyUI-BSS_FLSampler</code>3. Click Install and restart ComfyUI.For detailed parameters, mathematics, and recommended workflows, please check the <a rel="ugc" href="https://github.com/BlackSnowSkill/ComfyUI-BSS_FLSampler">GitHub README</a><hr />☕ Support &amp; LicenseSupport Development: Support me and get exclusive models on <a rel="ugc" href="https://boosty.to/blacksnowskill">Boosty!</a>License &amp; Usage: © 2026 blacksnowskill (BSS). All rights reserved. This project is protected by copyright. Copying, distribution, merging, or use on other websites/repositories without explicit written permission is prohibited.

[BSS] - Foveated Latent Sampling (Custom node)

What's New🔧 Live Preview Support FLS now displays a real-time step-by-step preview during generation, just like the standard KSampler. You can watch your image form in real time directly in the ComfyUI interface.📋 Full Metadata Compatibility Images generated with FLS now save complete generation metadata (seed, steps, CFG, sampler, scheduler, etc.) in a format fully compatible with CivitAI and other metadata parsers. Previously, images generated through FLS were missing readable generation data when uploaded to external platforms.🔄 Seed Control The seed input now includes the standard "control_after_generate" behavior (randomize / fixed / increment buttons), matching the KSampler experience.📦 Latent Metadata Preservation FLS now correctly preserves all input latent metadata (batch_index, noise_mask, etc.) through the sampling pipeline, matching the exact behavior of ComfyUI's built-in <code>common_ksampler</code>. This fixes potential issues with downstream nodes that depend on latent metadata.🏗️ Modern Architecture Compatibility Fixed compatibility with modern DiT-based architectures (Anima, Flux, etc.) that output 5D latent tensors. The foveated mask pipeline now correctly handles both standard 4D <code>[B, C, H, W]</code> and modern 5D <code>[B, C, T, H, W]</code> tensor layouts.

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