FLUXNATION FLUX.1 Fused Neuromorphic SPIKE Attention & Step Cache Cuda Kernel
FLUXNATION is a fused FP8 CUDA kernel for FLUX.1 that replaces the entire SingleStreamBlock forward pass with a single torch.ops call covering modulation dual GEMMs QKV projection RoPE attention gating and residual all in one shot. On top of that it ships with neuromorphic spike attention which scores every attention block by real dot product similarity and kills the ones that dont matter after image structure has formed keeping only the top 45 percent. Step caching then replays the cached output on alternating spike steps for zero attention compute every other step. The result is 30 percent faster generation than stock ComfyUI on an RTX 4090 with no quality loss. Works with every sampler ComfyUI supports at any step count. FP16 ports for 10 series 20 series and 30 series GPUs are included. A must have for anyone running FLUX.1.
How much VRAM does FLUXNATION FLUX.1 Fused Neuromorphic SPIKE Attention & Step Cache Cuda Kernel require?
Direct Answer: The ComfyUI node FLUXNATION FLUX.1 Fused Neuromorphic SPIKE Attention & Step Cache Cuda Kernel requires a minimum base VRAM of 12288MB and is optimized for GPUs with at least 24GB of VRAM. Low VRAM mode is not supported for this node.
- Base VRAM:
- 12288MB (12.0GB)
- Recommended GPU:
- 24GB+ VRAM
- Low VRAM Mode:
- ✗ Not supported
- Estimation Confidence:
- HIGH
Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
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Compatible Foundations
This node is verified to support or optimize workflows for the following foundation model families:
Frequently Asked Questions
How much VRAM does FLUXNATION FLUX.1 Fused Neuromorphic SPIKE Attention & Step Cache Cuda Kernel require?
FLUXNATION FLUX.1 Fused Neuromorphic SPIKE Attention & Step Cache Cuda Kernel requires a minimum of 12288MB (12.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 24GB of VRAM is recommended. Low VRAM mode is not supported for this node.
Can I run FLUXNATION FLUX.1 Fused Neuromorphic SPIKE Attention & Step Cache Cuda Kernel on an RTX 3060, RTX 4070, or RTX 4090?
❌ RTX 3060 (12GB): Insufficient VRAM (needs 12.0GB minimum). ❌ RTX 4070 (12GB): Insufficient VRAM (needs 12.0GB minimum). ⚠️ RTX 4070 Ti (16GB): Can run, but may experience performance issues or require low VRAM mode. ✅ RTX 4090 (24GB): Yes, fully compatible with 9.6GB headroom
How do I install FLUXNATION FLUX.1 Fused Neuromorphic SPIKE Attention & Step Cache Cuda Kernel in ComfyUI?
To install FLUXNATION FLUX.1 Fused Neuromorphic SPIKE Attention & Step Cache Cuda Kernel: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/ULT7RA/FLUXNATION, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.