🚀 ComfyUI × NVIDIA RTX Hackathon

Thursday, June 26, 2025 | 4:30 PM - 8:15 PM PDT | GitHub, San Francisco

📋 Summary

Join us for an exciting 4-hour hackathon where you'll build custom nodes and workflows that leverage NVIDIA RTX technology to accelerate ComfyUI. With only 3-4 hours of coding time, you'll focus on creating practical solutions that address real performance challenges in the ComfyUI ecosystem. Whether you're optimizing TensorRT for video models, reducing VRAM usage for popular models like Flux, or creating innovative workflows with RTX Remix, this is your opportunity to contribute to the open-source community while showcasing the power of RTX acceleration.

🎯 Why Join?

The ComfyUI ecosystem runs primarily on consumer GPUs where every optimization matters. Video generation is currently 10-100x slower than image generation, and popular models like Flux require 24GB+ VRAM, limiting accessibility. By participating in this hackathon, you'll help solve real bottlenecks that affect thousands of users daily. This is a unique opportunity to work directly with NVIDIA RTX technologies including TensorRT, RTX Remix, and various AI SDKs while contributing to one of the most active open-source AI communities. Your solutions could enable new creative possibilities and make advanced AI models accessible to more users.

🏆 Prizes 🥇 1st Place - Developer Track

NVIDIA RTX 5090
Best custom node leveraging RTX technology
*In-person attendance required

🎨 1st Place - Creative Track

NVIDIA RTX 5090
Best workflow showcasing RTX capabilities
*In-person attendance required

⚡ RTX Excellence Award

$500 Cash Prize
Best RTX-optimized project across all tracks

🌐 Virtual Participant Prize

Surprise box of exclusive Comfy merch and cool stuff for the best virtual submissions! While RTX 5090s are reserved for in-person winners, virtual participants can still win awesome prizes.

🎯 What to Build 💡 BE CREATIVE! HERE ARE THE REQUIREMENTS:

Build a ComfyUI custom node, workflow, or extension which either:

  • Revolves around optimizing models for NVIDIA hardware using NVIDIA libraries (e.g., TensorRT)
  • Uses NVIDIA libraries that work well with ComfyUI like RTX Remix
  • Demonstrates how a cool workflow can be optimized with TensorRT, showing the performance boost before and after

The best projects are often original ideas! Use the suggestions below only if you need inspiration.

Need Ideas? Here are Some Suggestions:

🔧 Developer Track - Custom Nodes

Focus on building custom nodes that leverage RTX acceleration.

  • TensorRT INT8/FP8 Quantization for Flux - Enable Flux to run on 12GB cards
  • Video Model TensorRT Accelerator - 2-5x speedup for HunyuanVideo/CogVideoX
  • TensorRT ControlNet Support - Add missing ControlNet to ComfyUI_TensorRT
  • Smart TensorRT Profile Manager - Auto-detect optimal engine parameters

🎨 Creative Track - Workflows

Build workflows that showcase optimized pipelines.

  • RTX Remix Game Reskin Pipeline - AI-enhanced textures
  • Cinematic Video Factory - Multi-model pipeline with TensorRT optimization
  • Real-time Concept Art Studio - Live drawing to finished art
  • Batch Character Consistency - Generate hundreds of consistent variations
  • AI Storyboard Generator - Script to visual sequence automation
📅 Event Schedule
  • 4:30 PM - Doors open
  • 5:00 PM - Hackathon introduction, stream starts
  • 5:15 PM - Hackathon begins
  • 7:15 PM - Hackathon ends, presentations begin
  • 7:45 PM - Winners announced
  • 8:15 PM - Event ends, Afterparty location announced at event
📋 Requirements 👨‍💻 Skills Needed

You can participate as a developer with Python skills, a workflow creator who knows ComfyUI, or a technical creative who can optimize workflows using existing TensorRT nodes and tools. All skill levels welcome!

🎯 Project Focus

Projects should leverage TensorRT optimizations, RTX Remix capabilities, or other NVIDIA SDKs - not general UI improvements.

💻 No GPU? No Problem!

In-person attendees get free Runpod cloud GPU credits. Run TensorRT and GPU workloads even if you only have a laptop!

📚 Preparation

Set up Python 3.11+, install comfy-cli, test TensorRT nodes, and explore workflows. With only 4 hours to code, preparation is key!

👥 Team Formation
  • 🎯 Solo or Teams: Work alone or in teams up to 4 people. Mix of GPU owners and laptop users welcome!
  • 🤝 Skill Mixing: We encourage diverse teams (developer + artist + newcomer)
  • 📍 Attendance: In-person at GitHub SF or virtual via livestream
🎥 Virtual Participation Can't make it to San Francisco? Join us virtually!

We're making this hackathon globally accessible with full virtual participation support.

📺 Watch Live

Stream on Twitter/X and Discord. Get the password during the livestream.

💬 Discord Channel

Dedicated hackathon channel for virtual participants to collaborate and get support.

🎁 Win Prizes

Surprise box of Comfy merch for best virtual submissions!

How to participate virtually:
  1. Join the livestream on Twitter/X or Discord at 5:00 PM PDT
  2. Listen for the secret password announced during the introduction
  3. Build your project during the hacking period
  4. Submit via GitHub with the password in your commit message before 7:15 PM PDT
  5. Watch the demos and find out if you won!
📍 Location & Contact 📍 GitHub

88 Colin P Kelly Jr St
San Francisco, CA 94107, USA

Questions? Email hello@comfy.org

🎉 Register Now

Register on Luma: https://lu.ma/zndawmg9

Registration is subject to approval by the host

Built with 💜 by the ComfyUI community. Powered by NVIDIA RTX.
Afterparty sponsored by Runpod

Requirements

 

📤 What to Submit 1️⃣ GitHub Repository

All projects must be submitted as a public GitHub repository. Your repo should include:

  • A clear README.md explaining what your project does and how to use it
  • All code for custom nodes, workflows, or extensions
  • Any dependencies or requirements listed
  • Installation instructions if applicable

🌟 Bonus Points For Including:

  • Demo video (less than 3 minutes) showing your project in action
  • Architecture diagram explaining how your solution works
  • Before/after performance metrics if you're optimizing with TensorRT
  • Screenshots of your workflow or node interface

Create your repository at: github.com/new

2️⃣ Virtual Participants

⚠️ Important for Remote Participants

Virtual participants MUST include the secret password announced during the livestream in your GitHub commit message. The commit must be made before 7:15 PM PDT to be eligible.

Where to watch:

  • Twitter/X livestream
  • Discord livestream in dedicated hackathon channel

Example commit message:

git commit -m "Hackathon submission - [PASSWORD] - TensorRT optimizer for Flux"

Remember: Virtual participants can win a surprise box of exclusive Comfy merch and cool stuff!

3️⃣ Submission Deadline

All submissions must be completed by 7:15 PM PDT on the day of the event.

  • In-person participants: Submit your GitHub repo link at the venue
  • Virtual participants: Ensure your repo is public and committed with the secret code
  • Late submissions will not be accepted

Hackathon Sponsors

Prizes

$500+ in prizes
+ other prizes
Best Custom Node - Developer Track
1 winner

NVIDIA RTX 5090 GPU (valued at ~$2,000) - Must attend in person

Best Workflow - Creative Track
1 winner

NVIDIA RTX 5090 GPU (valued at ~$2,000) - Must attend in person

RTX Excellence Award
$500 in cash
1 winner

Best Virtual Submission
1 winner

Exclusive Comfy merch box including branded items and surprise goodies - Ships worldwide.

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

comfyanonymous

comfyanonymous
Comfy Org

Julien | MJM

Julien | MJM
Comfy Org

Judging Criteria

  • RTX Innovation
    Creative use of TensorRT, RTX Remix, or NVIDIA SDKs
  • Performance Impact
    Measurable improvements in speed, memory, or quality
  • Community Value
    How many users would benefit from this solution
  • Technical Execution
    Code/workflow quality and implementation approach
  • Demo/Workflow Quality
    Clear presentation of the problem solved

Questions? Email the hackathon manager

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