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.

StabooruJeffrey/StabooruJeffrey-AudioBatch: Audio batch, resampler and channel adjust nodes for StabooruJeffrey

https://huggingface.co/StabooruJeffrey/SJ_CustomNodes_GPL-3/blob/08cd970ee9e0dfcdbff6a7a6998f366904dc6ac5/StabooruJeffrey-AudioBatch-3930594171225c7a3445093cd17b162c540a160d.zip

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).