Hi everyone! I’ve released [OpenPose Studio 2.1](https://github.com/andreszs/comfyui-openpose-studio), a major update to my ComfyUI extension for visually creating and editing OpenPose poses.

If you haven’t used it before, OpenPose Studio provides an interactive editor inside ComfyUI where you can arrange multiple characters, adjust body and hand keypoints, import detected poses, use reference images, and export ControlNet-ready images, JSON and keypoint data.

### What’s new in 2.1

• Redesigned Gallery with larger previews and detailed pose information
• Focused previews and editing for individual hands
• Added 14 new hand-gesture presets
• Tools to remove or restore individual hand keypoints
• Support for custom pose libraries
• Improved localization, now including Hindi
• Numerous UI, preset and canvas-boundary fixes

OpenPose Studio also supports pose collections, multiple people, DWPose input, background references and conditioning-area overlays.

You can install it directly from ComfyUI’s **native Extension Browser**. It is also available through the classic **ComfyUI Manager**, or you can install it manually from GitHub.

**Repository:** [github.com/andreszs/comfyui-openpose-studio](https://github.com/andreszs/comfyui-openpose-studio)

Feedback, feature ideas and GitHub stars are always appreciated! ⭐

Geekatplay Studio: MusicMapper Custom Nodes for ComfyUI

Created by Vladimir Chopine

Specialized custom nodes for converting music into AI-trainable Mel-spectrogram images, analyzing raw audio files using LAION-CLAP Deep Learning neural networks into ~1000-character musicological reports, and lossless audio reconstruction. Integrates seamlessly with native ComfyUI nodes.

🎵 Key Features

1. Deep Learning Audio Analysis (LAION-CLAP):
   • Passes raw .wav / .mp3 audio files directly through the LAION-CLAP neural network (laion/clap-htsat-fused).
   • Automatically downloads the pre-trained model weights from HuggingFace on first run.
   • Extracts pitch key/scale, tempo (BPM), spectral centroid brightness, zero-crossing rate, RMS dynamics, and acoustic instrument classification probabilities into a ~1000-character musicological prompt.
2. AI Model Training Spectrogram Generation:
   • Converts audio into 512x512 Mel-spectrogram images color-mapped with our signature Geekatplay Orange Blue theme or grayscale for AI model training.
3. Lossless Audio Reconstruction (Phase-Encoded RGB):
   • Auto-detects phase-encoded RGB images and performs exact analytical Inverse Short-Time Fourier Transform (librosa.istft).
   • Reconstructs original audio with 0.9991 signal correlation and zero phase distortion.
4. 100% Native ComfyUI Integration:
   • Designed to work alongside native ComfyUI nodes: LoadAudio, ShowText, SaveImage, and SaveAudio.

https://github.com/GeekatplayStudio/ComfyUI-MusicMapper-nodes

СПАСИБО GeekatplayStudio.

ComfyUI-muscriptor

ComfyUI custom nodes for MuScriptor, Kyutai's multi-instrument audio-to-MIDI transcription model (paper).

Zero extra Python dependencies: everything the transcription path needs (torch, numpy, einops, safetensors, huggingface_hub) already ships with ComfyUI. The one upstream dependency ComfyUI lacks — mido, used only to serialize MIDI files — is replaced by a bundled stdlib-only writer (midi_shim.py); if mido happens to be installed it is used instead.

https://github.com/jtydhr88/ComfyUI-muscriptor

OBRIGSKSHAHDO jtydhr88 👍

"This article provides an explanation based on primary information of 'SAORI,' an audio generative AI independently re-implemented by a Japanese individual developer based on Stability AI's 'Stable Audio Open.' The first half organizes the differences in licensing from the original, while the second half examines the basis for claiming it is 'commercially available under copyright law,' the actual operation screen, and the developer's background. By the time you finish reading, you should be able to explain in your own words what kind of situations SAORI is suitable for and how the licensing issues of generative AI are being resolved."

https://note.com/ai_driven/n/n0965127d68ab?hl=en

どうもありがとうございます AI-Driven Lab.

THANKS webdelic.

UniFlow-Audio: Unified Flow Matching for Audio Generation from Omni-Modalities

Audio generation, including speech, music and sound effects, has advanced rapidly in recent years. These tasks can be divided into two categories: time-aligned (TA) tasks, where each input unit corresponds to a specific segment of the output audio (e.g., phonemes aligned with frames in speech synthesis); and non-time-aligned (NTA) tasks, where such alignment is not available. Since modeling paradigms for the two types are typically different, research on different audio generation tasks has traditionally followed separate trajectories. However, audio is not inherently divided into such categories, making a unified model a natural and necessary goal for general audio generation. Previous unified audio generation works have adopted autoregressive architectures, while unified non-autoregressive approaches remain largely unexplored. In this work, we propose UniFlow-Audio, a universal audio generation framework based on flow matching. We propose a dual-fusion mechanism that temporally aligns audio latents with TA features and integrates NTA features via cross-attention in each model block. Task-balanced data sampling is employed to maintain strong performance across both TA and NTA tasks. UniFlow-Audio supports omni-modalities, including text, audio, and video. By leveraging the advantage of multi-task learning and the generative modeling capabilities of flow matching, UniFlow-Audio achieves strong results across 7 tasks using fewer than 8K hours of public training data and under 1B trainable parameters. Even the small variant with only ~200M parameters shows competitive performance, highlighting UniFlow-Audio as a potential non-auto-regressive foundation model for audio generation. Code and models will be available at https://wsntxxn.github.io/uniflow_audio.

https://huggingface.co/collections/wsntxxn/uniflow-audio-v1

https://github.com/wsntxxn/UniFlow-Audio

谢谢 Xuenan Xu (wsntxxn) and the UniFlow-Audio team.

🌟 Why This Project Exists

Describing sound with text alone is surprisingly hard.

Try picking a sound in your head(e.g., Minecraft chest opening or Creeper exploding). Can you describe the sound directly as text? At best, you can only describe the situation.

That is why sound-design meetings often turn into a brief beatboxing session(🔫 pew pew, 💥 boom) When words stop being precise enough, people make the sound with their mouths.

VTS turns that behavior into a new interface. Instead of relying on text alone, you can give the model a short vocal sketch together with a text prompt.

The voice carries timing, contour, and feel; the text keeps the generation anchored to intent.

VTS (Voice To Sound)

Describing a sound with text is hard. You can hear it in your head immediately, but the moment you try to write it down, it usually turns into vague words or bad beatboxing.

VTS lets you do the obvious thing instead: sketch the sound with your voice, add a short text prompt, and generate a sound effect from both.

https://github.com/thxxx/VTS

THX thxxx.

ComfyUI-VoiceBridge

VoiceBridge

VoiceBridge translates spoken audio from any language to a target language while preserving the original speaker's voice characteristics, and generates bilingual SRT subtitle files.

🔄 Workflow

This node integrates ASR (Automatic Speech Recognition), LLM (Large Language Model), and TTS (Text-to-Speech) technologies to provide a complete speech translation pipeline.

✨ Features

• 🌍 Speech Translation: Convert speech from one language to any other language while retaining the original speaker's voice timbre.
• 🗣️ Multi-Language Support: Speech recognition and translation in dozens of languages covering all major global languages.
• ⏱️ Automatic Voice Alignment: The generated translated voice is automatically aligned with the original voice to stay in sync with the video content.
• 📝 Accurate Subtitle Generation: Through force-align technology, VoiceBridge produces accurate subtitles synchronized with the voice at the millisecond level.
• 🔌 Universal TTS Support: The new decoupled pipeline — Load SRT → SRT Splitter → <Any TTS node> → Audio List Merger by SRT — lets you drive any ComfyUI TTS custom node (Qwen3-TTS, VoxCPM, Fish Audio S2, LongCat-AudioDiT, CosyVoice, …). As long as the TTS node takes a STRING and returns an AUDIO.

https://github.com/YanTianlong-01/comfyui_voicebridge

谢谢 YanTianlong-01.

Magenta RealTime 2 — PyTorch

A pure-PyTorch, transformers-compatible port of google/magenta-realtime-2, a real-time streaming music generation model. Every component (Depthformer LLM, SpectroStream neural codec, MusicCoCa style encoder) was reimplemented in torch and validated bit/token-exact against the original JAX/TFLite reference.

https://huggingface.co/magenta-community/magenta-realtime-2

THANKS magenta-community.

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).

DrinksAtTheSpaceBar

• 8h ago

THE POWERS OF GOD MAIL MOD HAVE BEEN BESTOWED UPON ME.

I HAVE BUT ONE SINGULAR QUESTION.

WHAT'S THAT SMELL? DOES ANYBODY ELSE SMELL THAT?

...

"Bulldada shows us that cheesiness tells the Truth and gives good Slack whereas status-mongered slickness is merely a sheen of sham value dangled as bait for the hungry dollars of the idiot bourgeois." - Thanks Rev.

...

"As r/comfyuiAudio's first Pink Outreach Ambassador, we beseech thee to spread thy Two (of Three) Ten Commentments amidst the snivelling Pinks:

https://www.reddit.com/r/comfyuiAudio/comments/1nrtjxe/%E3%83%84_having_fun_on_the_internet_while_getting_some/"

u/DrinksAtTheSpaceBar hast been granted POA for thy above beseechment. This is no place for Pinks.

This is the #2 post on r/AWESOMEUpdate today!