UPDATE: (2026-06-02) "Add pyproject.toml for Comfy Registry"

ComfyUI DrumPad

A drum pad node for ComfyUI with configurable 16/64 pad layouts.

Features

• Configurable Grid: Switch between 4x4 (16 pads) and 8x8 (64 pads) layouts.
• Sequencer: Built-in sequencer supporting up to 64 steps.
• Parametric Controls: Pitch, Swing, and individual/master Volume adjustments.
• Custom Sounds: Support for loading custom audio files (.wav, .mp3, .ogg, .flac).
• Persistence: Kit configurations and assignments are saved automatically.
• Audio Output: Outputs audio tensors compatible with standard ComfyUI audio nodes.

https://github.com/SKBv0/ComfyUI_DrumPad

THANKS SKBv0.

Oath.

🚨 ABSOLUTE BOMBSHELL! u/CeFurkan Clip Heinously Misattributed To Russian Media Outlet: A classic cyber/fantasy u/CeFurkan aesthetic Lower Third HUD can clearly be seen!

In Loving Memory of Skshahlex Jones

Convrot int8 is a format that was originally discovered and implemented by the community. It has better quality than fp8 while generally being faster.

For those that don't know an ADA 6000 GPU is basically a power limited 4090 with more vram

If you are looking for some convrot int8 versions of models to try it out you can find them:

Krea 2: https://huggingface.co/Comfy-Org/Krea-2

Boogu-Image (interesting model with an edit variant): https://huggingface.co/Comfy-Org/Boogu-Image

Bernini-R: (a great video editing model): https://huggingface.co/Comfy-Org/Bernini-R

Ideogram 4: https://huggingface.co/Comfy-Org/Ideogram-4

SCAIL 2: https://huggingface.co/Comfy-Org/SCAIL-2

We will likely be updating our default templates to use the convrot int8 models by default because they give better quality and performance for most people.

You can expect a blog post in the next 1-2 weeks with better benchmarks and more info.

Comfy-MSS

ComfyUI custom nodes for pymss, a Python music source separation package.

https://github.com/pymss-project/comfy-mss

THANKS pymss-project team.

"You make me rave"

WARE

.

https://geekpie98.com/Chumfy-Org/ChumfyUI/releases/tag/v0.26.0

Underfit is for musicians, sound designers, sample makers, and audio experimenters who want Stable Audio 3 to learn a specific sound.

Instead of prompting a general model and hoping it understands your references, you give Underfit a folder of audio and train a small adapter file called a LoRA. That LoRA can then steer Stable Audio 3 toward your style, genre, instrument set, sound effect family, or production texture.

This is not a general music app for typing one prompt and getting one song. It is a workshop for making your own reusable style adapter.

https://beta.pinokio.co/posts/01kv14gjzsjjmf2t95j24k948p

Thanks cocktailpeanut / Cortexelus.

Stable Audio 3 — ComfyUI Workflow

A ComfyUI workflow for AI-powered music and audio stem generation using Stable Audio 3, featuring structured text prompting for precise control over genre, instruments, mood, and BPM.

Features

• Full-track audio generation up to 120 seconds
• Structured prompt system following Stable Audio 3's official format
• Support for full band tracks and individual stems (e.g. drums-only)
• Positive and negative prompt conditioning for fine-grained control
• Fast generation via LCM sampler (distilled model, ~10 steps)
• Built-in AudioWaveformVisualizer and SaveAudio output nodes
• Clean graph using Set/Get nodes (KJNodes) for easy readability

https://github.com/adamdived/stable-audio-3-workflow

THANKS adamdived (Marco Capelli).

qwen image cyber industrial Style pattern lora - v1.0

Model Overview: Futuristic Graphic Pattern LoRA

Design Focus & Capability

This model was trained using a collection of graphic elements with a functional/utility aesthetic (机能元素感). It is highly optimized for generating patterns that feature:

• Geometric / Minimalist / Utilitarian (Mecha-Style) design.
• Basic elements: Points, lines, and planes (基础点线面元素).

style includes:

Workflow & Technical Strengths

This LoRA is designed to leverage the advanced text and texture rendering capabilities of the Qwen-Image base model, which significantly outperforms models like Flux in this regard.

• Text Integration: Users can directly describe both Chinese and English text content in the prompt, and the model will accurately generate it within the image.
• Composition Control: We recommend pairing this LoRA with an Image DiffSynth Control LoRA (or similar tools) to achieve precise control over image composition.

appendix: kontext pattern extractor lora https://civarchive.com/models/2046180/kontext-pattern-extractor

This may relate to other image dimensions but has only been observed with GitHub link posts.

Previously both original post thumbnails, inside the main post, and the larger format crosspost images all showed the colors of the repository's programming language at the bottom of the image.

Over the last day or so this has disappeared. There's been lots of frontend changes recently. It's hard to know if this is a change at GitHub's end or with reddit.

Any ideas where to crosspost this so it might reach the eyes of folk at reddit who might know the answer?

If it's a design choice by the reddit frontend revampers, it overlooks that valuable informational content is missing from the post now. It made it easy at a glance to know the code composition of the linked repository.

Thanks.

Difforum: Deforum-style animation for ComfyUI

Keyframe animation driven by math expressions, with camera moves, audio reactivity and prompt travel. It brings the Deforum workflow to current models (SD1.5, SDXL, Flux, SD3.5, Wan 2.2) and Python 3.12+.

Why it exists

The original Deforum is hard to run today: its library refuses Python 3.12, it's tied to SD1.5-era img2img, and the frame-by-frame loop flickers. Difforum rebuilds the same ideas from scratch and fixes those problems.

What you get:

• The same 0:(expr) keyframe syntax (sin, cos, t, audio variables), camera schedules, audio reactivity and prompt travel.
• A model-agnostic sampler that takes plain ComfyUI MODEL/VAE/CONDITIONING, so you can drop in SDXL, Flux, SD3.5 or an SD-Turbo/LCM model instead of 2023-era SD1.5. No lock-in.
• Three render paths over one control layer: Classic+ (depth-aware warp, re-diffuse, LAB colour match), Hybrid (drives Wan 2.2 VACE), and AnimateDiff (feeds prompt travel and schedules into AnimateDiff-Evolved).
• No eval(), no exotic dependencies (safe AST evaluator, numpy FFT audio, torch warps), 12 test suites, and a clean install on Python 3.12 and the Comfy Registry.

https://github.com/chillithebillis/Difforum

Thanks chillithebillis.

ComfyUI-VST

ComfyUI custom nodes for audio processing using VST3 and Audio Unit plugins via Spotify's Pedalboard library.

Features

• Load VST3 plugins with auto-detection from system paths
• Auto-detect plugin parameters (booleans, choices, numeric sliders)
• Apply effects to audio with adjustable parameters
• Manual or dynamic parameter configuration
• Compatible with ComfyUI V3 API

Note: Currently only Effect VST plugins are supported. Instrument/Synthesizer plugins are not yet supported.

https://github.com/MuziekMagie/ComfyUI-VST

THANKS MuziekMagie.

80+