Update pipeline.py

pipeline.py

@@ -121,7 +121,7 @@ class SqueezedDPMSolverMultistepScheduler(DPMSolverMultistepScheduler, Scheduler
         solver_type: str = "heun",  # NOTE THIS DEFAULT VALUE
         lower_order_final: bool = True,
         use_karras_sigmas: Optional[bool] = False,
-        lambda_min_clipped: float = -3.0,  # NOTE THIS DEFAULT VALUE
+        lambda_min_clipped: float = -7.5,  # NOTE THIS DEFAULT VALUE
         variance_type: Optional[str] = None,
         timestep_spacing: str = "linspace",
         steps_offset: int = 1,
@@ -764,7 +764,7 @@ class FlexibleTransformer2DModel(ModelMixin, ConfigMixin):
 class DeciDiffusionPipeline(StableDiffusionPipeline):
     deci_default_squeeze_mode = "10,6"
     deci_default_number_of_iterations = 16
-    deci_default_guidance_rescale = 0.7
+    deci_default_guidance_rescale = 0.8
 
     def __init__(
         self,
@@ -826,7 +826,7 @@ class DeciDiffusionPipeline(StableDiffusionPipeline):
         callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
         callback_steps: int = 1,
         cross_attention_kwargs: Optional[Dict[str, Any]] = None,
-        guidance_rescale: float = 0.7,
+        guidance_rescale: float = 0.8,
     ):
         r"""
         The call function to the pipeline for generation.