r/fal

Hey everyone — I’m new to AI image generation and have been experimenting with FAL using Flux Kontext Pro to create coloring book-style images from uploaded reference photos.

My goal is to generate dynamic coloring book pages where the character likeness stays consistent, but the scenes can vary across styles like manga, comic book, fantasy, cartoon, etc.

A few questions I’d love feedback on:

1. Best model/workflow: Is Flux Kontext Pro currently one of the better options for balancing affordability, quality, and likeness consistency? Or are there better tools/models for this use case?
2. Character likeness: What are the best practices for preserving the likeness of the reference character across different poses, scenes, and styles?
3. Reference image prep: Should I preprocess uploaded images before generation? For example:
   • background removal
   • face restoration
   • sharpening/upscaling
   • lighting correction
   • cropping to face/body
   • creating multiple reference angles
4. Dynamic scenes: How do you get more interesting compositions instead of static “person standing in center” outputs? Are there prompt structures or workflows that help create more action, depth, and storytelling?
5. Style control: What is the best way to request broad styles like manga, western comic, children’s book, fantasy illustration, etc., while avoiding issues with specific living artists or overly derivative styles?
6. Coloring book quality: Any tips for getting clean black-and-white line art that is actually usable for coloring books — clear outlines, good white space, not too much gray shading or muddy detail?
7. Production workflow: For anyone doing this at scale, what does your pipeline look like from uploaded photo → generated pages → cleanup → print-ready files?

I hope this is the right place to ask. If not, I’d appreciate being pointed toward better communities, guides, or resources for learning this workflow.

Thanks in advance for any advice.