
Audiolab September 2025 Updates
See what’s new in Audiolab on RunDiffusion, including voice tools, sound generation, transcription, and timbre transfer workflows.
Sharing best practices and news from leading AI experts.

Learn how to prepare a clean dataset for model training on RunDiffusion, including captions, resolution, and common pitfalls.

Learn how Runnit Pro users can download trained LoRA models and use them in ComfyUI, ReForge, or Automatic1111 on RunDiffusion.

Learn how to use the Juggernaut base model with LoRA on Runnit for cloud-based AI image generation without local setup.

Train AI models in Runnit with the Standard Trainer for fast cloud-based LoRA training across multiple model types.

Explore the full list of Stable Diffusion, SDXL, SD3, Flux, and video models available on RunDiffusion. Updated for April 2025. Quick reference guide.

Learn how to upload and apply a LoRA model in Runnit Boards for better workflow control and customization.

Learn how to train custom AI models with the Runnit LoRA Trainer on RunDiffusion using fast cloud-based workflows.

Learn the basics of Flux LoRA training, including dataset prep, workflow setup, and how to fine-tune custom styles or subjects.

Learn the basics of LoRA training with Kohya, including setup, dataset preparation, and how to train custom models for RunDiffusion workflows.

Learn how checkpoint merging works and how to combine model strengths for custom image generation results in your RunDiffusion workflow.

Learn about preloaded checkpoints on RunDiffusion and how they make it faster to launch workflows and start creating immediately.

Learn how to train an SDXL LoRA with Kohya on RunDiffusion, including dataset prep, captioning, parameter tuning, and storage.
Follow a LoRA training walkthrough covering dataset prep, training basics, and how to create custom models for RunDiffusion workflows.

How to use LoRA models / How to import custom LoRA models

Importing custom models to Auto1111 and invokeAi!
Learn how model merging works and how to combine checkpoints to create new image generation behaviors and visual styles.
Learn the basics of LoRA training, including how to prepare data, fine-tune models, and create custom visual styles.
Learn how DreamBooth training works for custom AI models, including the basics of fine-tuning subjects, styles, and creative workflows.
Learn how LoRA, hypernetworks, and embeddings work in Automatic1111 and how they shape styles, subjects, and prompt control.