📦 Runnable workflow: github.com/sm1ck/honeychat/tree/main/tutorial/04-ipadapter — a ComfyUI workflow.json (with <tune> placeholders for IP-Adapter weight/end_at) plus a stdlib Python client that posts it to your ComfyUI instance and saves the output. In the previous post I argued that LoRA per character is often the strongest fit for visual identity. But what happens when you want to render that character wearing a specific item — a shop product, a user-uploaded outfit, a gift from another user? LoRA helps stabilize the character. To also preserve an arbitrary reference image, IP-Adapter is a common fit. Those two techniques can compete unless you configure them carefully. TL;DR LoRA stabilizes the character's face. IP-Adapter pulls features from a reference image. If both are too strong late in sampling, the face can drift toward the reference. Balance: moderate IP-Adapter weight (lower half of 0–1) with early handoff (IP-Adapter releases control before the final denoising steps).…