Change Lighting and Background With Prompts Using FREE AI Tool - Pincel AI Relight

In this video we will be seeing how to change the lighting and background in a shot by writing prompts. We will be using an AI tool called Pincel Relight AI. We will be editing a total of eight images to see the pros and cons of this very unique tool. We will also be seeing how to use some other AI tools to fix the issues that arise sometimes when using this tool. Here’s the video:

Video Summary

In this tutorial, the instructor explores Pincel Relight AI, a unique generative tool that allows you to simultaneously transform a photo’s background and its lighting using text prompts. He explains that unlike standard background removers, this AI realistically adjusts the light on the subject to match the new environment.

Key Concepts & Tips

Prompt Strategy: The tool is “aggressive” and often ignores long, complex descriptions. Stick to short, 2-3 word prompts (e.g., “vintage,” “cinematic,” or “sunlight”) for more predictable results.
Lighting Direction: Always match the AI’s “Light Direction” setting to the original photo’s key light (e.g., if the sun is on the left, select “Left Light”) to maintain realism.
Subject Sharpness: The AI performs best on clear, high-resolution portraits. Distant or blurry faces are more prone to “AI distortion.”
Face Swap Fix: If the relighting process distorts the subject’s face, the instructor recommends using a Face Swap tool (like Remaker AI or Pincel’s own multi-swap) to paste the original face back onto the new AI-generated scene.

Time Stamps

0:00 – Introduction to Pincel Relight AI and the concept of prompt-based relighting.
1:02 – Example 1 (Sunlight): Using “window to the right” and “sunlight” prompts to change a studio shot.
3:06 – The “Cinematic” Prompt: Letting the AI take creative liberty to add drama and atmosphere.
3:59 – Example 2 (Vintage): Changing a background to a “vintage” look and handling face distortion.
4:41 – Fixing Distortion: A quick walkthrough of using the Face Swap tool to restore facial features.
6:07 – Example 3 (White Background): Changing a pink wall to white while automatically removing the pink color cast from the skin.
7:25 – Example 4 (Street Shot): Turning a standard street photo into a moody, cinematic night scene.
8:28 – Example 5 (Forest): Creating a “Golden Hour” look and discussing the limits of zoomed-out portraits.
9:42 – Example 6 (Gym): Using Multi-Swap to fix both the subject and her reflection in a mirror.
11:40 – Example 7 (Dramatic): Using the “future” prompt to overhaul a boring mobile phone snapshot.