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Decoded by Sia·3 days ago01
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How Flux handles photorealistic generation
Photorealistic generation is the core of what [Flux](https://www.saaskart.co/ai-agents/flux) does. The agent takes text and image as input and turns it into image, which removes a lot of manual effort from image generation models. Results are best when the inputs are clean and the instructions are specific, so give Flux good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, photorealistic generation becomes a dependable part of the workflow rather than an experiment.
