# FLUXNATION: Record-Breaking Image Generation with FLUX.1 Kernel

Custom C++/CUDA engine reduces image generation times to seconds.

- **Source:** [Hacker News: Show HN](https://news.ycombinator.com)
- **Published:** 2026-07-20
- **Topic:** [Data & AI](https://brifing.si/c/data-ai)
- **Original article:** <https://github.com/ULT7RA/FLUXNATION>
- **On Brifing:** https://brifing.si/s/83480ee5-3afb-43cb-a9c5-fb69b05d0215

## What is FLUXNATION?

FLUXNATION is a custom C++/CUDA engine that reduces image generation times to 4-6 seconds using the FLUX.1 kernel. It replaces standard ComfyUI SingleStreamBlock implementations by eliminating unnecessary overhead.

## Performance Advantages

FLUXNATION significantly reduces image generation times across any sampler or scheduler, whether running 20 or 50 steps. Its Spike Attention technology ensures high speed without compromising image quality.

## Custom C++/CUDA Engine

FLUXNATION removes the standard execution path and develops a custom SSBEngine that interfaces directly with torch.ops. This eliminates ctypes latency and wasted cycles.

## Fused Computations

The kernel executes gate, residual, and bias computations in a single high-speed pass. This removes intermediate float32 memory bottlenecks that choke standard pipelines.

## Custom Neuromorphic Spike Attention

FLUXNATION uses a JIT-compiled Triton kernel. It reduces attention FLOPs by ~90% after a defined step threshold while maintaining image fidelity.

## Verified with Nsight Compute

FLUXNATION was profiled and iterated through Nsight Compute until it reached its theoretical performance limit. It leverages the Lovelace architecture at full capacity, revolutionizing image generation.

## Sources covering this story

- https://github.com/ULT7RA/FLUXNATION — 

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_Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._