Update pipeline_flux_kontext.py

Author: stevhliu

src/diffusers/pipelines/flux/pipeline_flux_kontext.py

@@ -795,13 +795,11 @@ def __call__(
                 their `set_timesteps` method. If not defined, the default behavior when `num_inference_steps` is passed
                 will be used.
             guidance_scale (`float`, *optional*, defaults to 3.5):
-                Guidance scale as defined in [Classifier-Free Diffusion
-                Guidance](https://huggingface.co/papers/2207.12598). `guidance_scale` is defined as `w` of equation 2.
-                of [Imagen Paper](https://huggingface.co/papers/2205.11487). Guidance scale is enabled by setting
-                `guidance_scale > 1`. Higher guidance scale encourages to generate images that are closely linked to
-                the text `prompt`, usually at the expense of lower image quality. In case of Flux, which is a guidance-
-                distilled model, `guidance_scale > 1` doesn't implement true classifier-free guidance. Specifying
-                `guidance_scale > 1` just mimics it.
+                Embedded guidance scale is enabled by setting `guidance_scale` > 1. Higher `guidance_scale` encourages a model to 
+                generate images more aligned with prompt at the expense of lower image quality.
+                
+                Guidance-distilled models approximates true classifier-free guidance for `guidance_scale` > 1. Refer to the 
+                [paper](https://huggingface.co/papers/2210.03142) to learn more.
             num_images_per_prompt (`int`, *optional*, defaults to 1):
                 The number of images to generate per prompt.
             generator (`torch.Generator` or `List[torch.Generator]`, *optional*):