AEON-7

AEON-7 / comfyui-aeon-spark

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Bleeding-edge ComfyUI for NVIDIA DGX Spark (GB10/Blackwell/sm_121a). CUDA 13 + SageAttention v3 (sm_121a) + NVFP4 + 14 custom-node packs + Flux 2 Dev / LTX 2.3 22B / ACE-Step v1.5 XL Turbo pre-bundled with abliterated text-encoder paths.

ghcr.ioaeon-7comfyui-aeon-spark ace-step blackwell comfyui dgx-spark docker
11
2
100% credibility
Found May 01, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

A ready-to-run setup for ComfyUI tailored to NVIDIA DGX Spark hardware, bundling workflows and tools for AI-generated images, videos, and audio.

How It Works

1
🔍 Find the AI Art Tool

You discover this special setup that makes creating amazing AI images, videos, and sounds super easy on your powerful NVIDIA DGX Spark computer.

2
📥 Grab the Package

Download the ready-to-use bundle to your computer with a quick setup command.

3
🔑 Link Your Model Library

Sign up for a free account on the model sharing site, agree to a few creative tool licenses, and paste a private pass so it can fetch the best AI parts.

4
🚀 Start It Up

Run the magic launch button, and watch it automatically gather all the huge AI brains and tools you need – everything gets ready on its own.

5
⏳ Relax While It Prepares

Give it time to download and organize hundreds of gigabytes of creative magic the first time; it feels exciting knowing your setup is powering up.

6
🌐 Open the Playground

Head to the web page in your browser, and see a canvas full of ready-made designs waiting for your ideas.

7
🎨 Make Your Masterpieces

Choose a template, type a fun description like 'a dragon flying over mountains,' hit go, and watch stunning images, videos, or sounds come to life.

✨ Share the Wow

Save your incredible creations, tweak more ideas anytime, and enjoy having a personal AI artist perfectly tuned for your supercomputer.

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AI-Generated Review

What is comfyui-aeon-spark?

This GitHub bleeding-edge repo delivers a Dockerized ComfyUI setup tailored for NVIDIA DGX Spark (GB10/Blackwell/sm_121a), bundling Flux 2 dev, LTX 2.3 22B, and ACE-Step v1.5 XL Turbo models with abliterated text encoders, 14 custom-node packs, CUDA 13, SageAttention v3, and NVFP4 acceleration. Run `./setup.sh` for interactive HF token setup and `docker compose up -d` to launch—`:latest` auto-downloads 285GB of BF16/NVFP4 weights on first boot, while `:slim` lets you pick via the UI Manager. It solves the hassle of compiling sm_121a kernels, resolving deps, and sourcing gated models on new Grace-Blackwell hardware.

Why is it gaining traction?

Unlike vanilla ComfyUI, it ships pre-optimized for unified memory (no pinned-page slowdowns), server-side model installs (no browser downloads on remote Sparks), and idempotent sync scripts to pull workflow/model deltas without wiping your setup. Users get instant access to LTX 2.3 video gen, Flux 2 t2i, and ACE-Step audio workflows, plus an Ollama sidecar for prompt expansion—all tuned for NVFP4 throughput swaps (BF16 to fp4_mixed.safetensors). The bleeding-edge focus on Blackwell datacenter GPUs hooks early adopters chasing max perf on DGX Spark.

Who should use this?

AI researchers or ML engineers with DGX Spark/GB10 workstations running Flux/LTX video pipelines or ACE-Step audio gen. Video AI devs prototyping LTX 2.3 T2V/I2V with abliterated encoders and custom-node packs like PromptRelay. Teams deploying ComfyUI agents on Blackwell hardware needing quick HF-gated model pulls and persistent volumes.

Verdict

Grab it if you have DGX Spark—docs are thorough, setup is foolproof, and it unlocks hardware-native speed others can't touch yet. With 11 stars and 1.0% credibility score, it's early but stable for its niche; test on non-Spark Blackwell first.

(198 words)

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