Weavy Tutorials: From Prompt to Production - How to Train a LoRA + Use It in Weavy (Step-by-Step)

Learn how to train a custom LoRA outside Weavy (on FAL or Replicate), then import it into Weavy and use it in your workflows with Flux Dev LoRA. We’ll also compare style training vs reference images so you know when a LoRA is worth the extra effort. What you’ll learn • Building a clean image dataset (20–30 images works great) • Choosing a unique trigger word (avoid real words) • Training a Flux LoRA Fast job on FAL / trying alternatives on Replicate • Downloading the Diffusers .safetensors file • Importing the LoRA in Weavy and connecting it to Flux Dev LoRA • Comparing results: trained LoRA vs reference-only approach Chapters 00:00 Intro & plan 00:20 Datasets: how many images & why 00:52 Train a LoRA (FAL/Replicate) 01:48 Download the LoRA (.safetensors) 02:00 Import LoRA in Weavy 02:15 Connect to Flux Dev LoRA + add prompt 03:10 Use the trigger word correctly 03:40 Compare vs reference images 04:20 When to train a LoRA vs just use references 04:35 Wrap-up Try it • Start building in Weavy: ?utm_source=YT&utm_medium=lora_training • Join the community: https://discord.gg/jB6vn2ewxW Tips - Use a short, unique trigger (e.g., “owx”) to reliably call your LoRA in the prompt. - If references already get you 90% there, skip training. LoRA is best for reusable, consistent style/character systems.