Summary of "Nano Banana 2 + Kling 3.0 = Consistent Characters SOLVED"

Overview

This video shows how to improve AI character consistency in images and videos by using photorealistic character reference sheets together with an image model (Nano Banana 2) and a multi-reference video generator (Kling/Cling/Cling AI). The presenter demonstrates a step-by-step workflow, shares example prompts, and gives practical tips for creating consistent multi-angle images and more stable AI-driven video.

What the workflow achieves

Key concepts and product features

Character reference sheet (core idea)

A single reference image that contains 8 shots: 4 full-body shots (each facing a different direction) and 4 matching close-up face shots.

Nano Banana 2 (image generation)

Fixing common image-sheet problems

Using your own characters

Video generation (Kling/Cling/Cling AI and Omni reference)

Practical workflow — step-by-step

  1. Write a character-sheet prompt that creates 4 body angles + 4 close-ups in a 4-column layout; include photorealism and camera keywords.
  2. Generate the character reference sheet in Nano Banana 2 (Higsfield AI or Gemini).
  3. Correct orientation/pose errors by re-uploading the sheet and prompting for specific fixes.
  4. Upload reference sheets (and a starting frame image if needed) into the video generator’s Omni/multi-reference tool.
  5. In the video prompt, map characters to specific reference images by label and describe movement, camera cuts, and the scene end to keep continuity.
  6. Iterate — consistency is much improved but not perfect; minor face deformities can still appear.

Limitations and notes

Guides, tutorials, and resources mentioned

Main speakers / tools referenced

Category ?

Technology


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