3 Techniques for Generating AI Images in Pletor (Full Walkthrough)

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I find most AI images come out flat. They are either too centered, too plasticky, too obviously AI. Not because the models are bad, but because the prompt going in is too basic.

In this video I walk through 3 methods to generate an image inside @Pletor-ai, going from the most basic to the smartest, so you can stop guessing your way to a good output and actually have a process that works.

The structure stays the same across all three: a text prompt connected to an image generator. What changes is how that prompt gets written along the way. That is the whole difference between a cliche AI image and a cinematic one.

How it works:
00:00 Why most AI images look flat
00:30 Method 1: The raw manual prompt
03:00 Method 2: The Pletor Prompt Enhancer preset
07:00 Method 3: Pletor Copilot rewriting prompts hands-free
12:00 Same prompt, four image generators: Nano Banana Pro, GPT Image 2, Seedream 5 Lite, Recraft
17:00 Treat prompting like a photo shoot, not a single shot

I found the best way to enhance your prompts is directly in Pletor using their Prompt Enhancer preset node. Plain language goes in ("portrait of a Thai woman in Hanoi, low angle, something in the foreground"), and the workflow handles the lighting, camera angle, composition, and depth for you. Then you massage it from there, the same way a photographer would adjust lights between frames.

There is no perfect prompt on the first run. There are only better and better passes at it.

Tools used:
- Pletor (node-based workflow canvas + Copilot)
- Nano Banana Pro (primary image generator)
- GPT Image 2, Seedream 5 Lite, Recraft (comparison generators)

Want to test out the workflow → https://go.pletor.ai/imagegenerator
Check out our Discord channel → https://discord.gg/D6xKhy7R
LinkedIn → https://www.linkedin.com/in/oliver-moertl-baa4b334/

#AIImageGeneration #Pletor #AIWorkflow #PromptEngineering #StudioPrompted #CreativeAutomation
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