Allow SD pipeline to use newer schedulers, eg: FlowMatch (#12015)

Allow SD pipeline to use newer schedulers, eg: FlowMatch,
by skipping attribute that doesnt exist there
(scale_model_input)
 Lines starting

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py

@@ -1034,7 +1034,8 @@ class StableDiffusionPipeline(
 
                 # expand the latents if we are doing classifier free guidance
                 latent_model_input = torch.cat([latents] * 2) if self.do_classifier_free_guidance else latents
-                latent_model_input = self.scheduler.scale_model_input(latent_model_input, t)
+                if hasattr(self.scheduler, "scale_model_input"):
+                    latent_model_input = self.scheduler.scale_model_input(latent_model_input, t)
 
                 # predict the noise residual
                 noise_pred = self.unet(