Update pipeline_sana_sprint.py

Author: stevhliu

src/diffusers/pipelines/sana/pipeline_sana_sprint.py

@@ -643,13 +643,11 @@ def __call__(
                 in their `set_timesteps` method. If not defined, the default behavior when `num_inference_steps` is
                 passed will be used. Must be in descending order.
             guidance_scale (`float`, *optional*, defaults to 4.5):
-                Guidance scale as defined in [Classifier-Free Diffusion 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 guiddance 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 classifer-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.
             height (`int`, *optional*, defaults to self.unet.config.sample_size):