<h1 id="anima_booster-for-comfyui">ANIMA_BOOSTER for ComfyUI ⚡</h1>The ultimate high-performance optimization suite designed to maximize inference speed and optimize the performance of the Anima DiT 2B model.Delivers a massive 3.5× to 5.0× speedup with virtually no loss in visual quality!&gt; 💡 Ultimate Quality &amp; Speed Combo: &gt; We highly recommend pairing this optimization suite with our companion node <a rel="ugc" href="https://github.com/BlackSnowSkill/ComfyUI-BSS_FLSampler">FLSampler (BSS)</a> to perfectly restore any lost micro-details at lightning-fast speeds!🔗 GitHub Repository (Full Guide &amp; Docs): <a target="_blank" rel="ugc" href="https://github.com/BlackSnowSkill/ANIMA_BOOSTER">https://github.com/BlackSnowSkill/ANIMA_BOOSTER</a><hr /><h3 id="key-features-(v1.3.0)">🌟 Key Features (v1.3.0)</h3> 📥 Anima Checkpoint &amp; UNET Loaders: Tailored loaders supporting standalone UNETs and full Checkpoints with built-in bfloat16 auto-detection. ⚡ Safe One-Click torch.compile: Stable JIT compilation toggle boosting speed by 20% to 40%. 🚀 SageAttention: Integrated accelerated 8-bit attention tailored for DiT. 🧠 Adaptive TeaCache: Timestep-aware latent caching that skips redundant calculations, protecting early structural steps. 🎨 BSS Premium UI: Elegant, high-contrast dark-matte interface with clean controls and zero intrusive tooltips.<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/ANIMA_BOOSTER</code>3. Click Install and restart ComfyUI.For detailed parameters, portable environment wheels, and manual installation, please refer to the <a rel="ugc" href="https://github.com/BlackSnowSkill/ANIMA_BOOSTER">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 strictly prohibited.

[BSS] - Anima Booster (Custom node)

What's New🧹 Streamlined Interface Removed non-functional options that caused crashes with Anima DiT models:<ul><li>Removed <code>weight_dtype</code> selector — Anima models are natively bfloat16. Forcing FP8 caused <code>LayerNormKernelImpl not implemented for Float8_e4m3fn</code> crashes because PyTorch does not support FP8 in RMSNorm operations used by DiT architectures. The loader now always uses the optimal native dtype.</li><li>Removed <code>compile_mode</code> selector — Modes <code>reduce-overhead</code> and <code>max-autotune</code> use CUDA Graphs internally, which conflict with Anima's in-place tensor operations, causing <code>CUDAGraphs tensor overwritten</code> errors. The loader now always uses the stable <code>default</code> compilation mode.</li></ul>🔬 SageAttention Fix Fixed a critical bug where selecting specific quantization kernels (<code>sageattn_qk_int8_pv_fp16_cuda</code> / <code>fp8</code>) silently failed due to API changes in <code>sageattention &gt;= 1.0.6</code>. The library migrated from C++ extensions to Triton kernels and removed those functions from the public API. The node now correctly uses the <code>auto</code> mode which delegates to ComfyUI's built-in SageAttention integration — this automatically selects the optimal quantization strategy for your GPU.📦 New: Checkpoint Loader Added <code>Anima Booster Checkpoint Loader</code> — a new node for loading bundled Anima checkpoints that contain Model + CLIP + VAE in a single file. Outputs all three components while applying the same SageAttention and torch.compile optimizations as the standard Anima Booster Loader.⚡ Clean Node Design Both loaders now feature a minimal, crash-proof interface:<ul><li>Model selector</li><li>SageAttention toggle (auto / disabled)</li><li>torch.compile toggle (on / off)</li></ul>No unnecessary options that could lead to errors. Just plug in and generate.

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