update guidance_scale docstring for guidance_distilled models.

Author: sayakpaul

src/diffusers/pipelines/flux/pipeline_flux.py

@@ -691,7 +691,11 @@ def __call__(
                 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.
+                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. 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.
             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*):

src/diffusers/pipelines/flux/pipeline_flux_control.py

@@ -665,7 +665,9 @@ def __call__(
                 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.
+                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.
             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*):

src/diffusers/pipelines/flux/pipeline_flux_kontext.py

@@ -799,7 +799,9 @@ def __call__(
                 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.
+                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.
             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*):

src/diffusers/pipelines/flux/pipeline_flux_kontext_inpaint.py

@@ -1019,7 +1019,9 @@ def __call__(
                 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.
+                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.
             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*):

src/diffusers/pipelines/sana/pipeline_sana_sprint.py

@@ -643,11 +643,13 @@ 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](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.
+                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.
             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):