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What does CFG scale control in Stable Diffusion?

Asked on Sep 05, 2025

Answer

In Stable Diffusion, the CFG (Classifier-Free Guidance) scale controls the trade-off between adhering to the prompt and the inherent randomness of the image generation process. A higher CFG scale makes the generated image more closely follow the prompt, while a lower scale allows for more creative freedom and variation.

Example Concept: The CFG scale in Stable Diffusion adjusts how strongly the model adheres to the text prompt versus exploring creative possibilities. A higher CFG scale (e.g., 10-15) results in images that are more faithful to the prompt, whereas a lower scale (e.g., 5-7) allows for more diverse and unexpected outputs.

Additional Comment:

CFG scale is an important parameter for balancing prompt accuracy and creative exploration.
Experimenting with different CFG scales can help achieve the desired level of detail and creativity in the output.
Adjusting the CFG scale is often done through the settings in the Stable Diffusion interface or via API calls.

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Ask any question about AI Images here... and get an instant response.

What does CFG scale control in Stable Diffusion?

Asked on Sep 05, 2025

Answer

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