controls the fidelity and diversity of the generated images. denoise_strength is typically used
in models like diffusion models or similar generative models. It influences the balance between preserving image
details and achieving diversity during the generation process. A higher denoise strength means the image will
be closer to real images from the training data, while a lower denoise strength may retain more noise,
leading to more abstract or creative results
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