Update lpw_stable_diffusion.py

library/class_basic_training.py

@@ -123,7 +123,7 @@ def __init__(
             )
             self.lr_scheduler_args = gr.Textbox(
                 label="LR scheduler extra arguments",
-                placeholder='(Optional) eg: "lr_end=5e-5"',
+                placeholder='(Optional) eg: "milestones=[1,10,30,50]" "gamma=0.1"',
             )
             self.optimizer_args = gr.Textbox(
                 label="Optimizer extra arguments",

library/lpw_stable_diffusion.py

@@ -9,7 +9,7 @@
 import PIL.Image
 import torch
 from packaging import version
-from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
+from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer, CLIPVisionModelWithProjection
 
 import diffusers
 from diffusers import SchedulerMixin, StableDiffusionPipeline
@@ -516,12 +516,13 @@ def __init__(
         tokenizer: CLIPTokenizer,
         unet: UNet2DConditionModel,
         scheduler: SchedulerMixin,
-        # clip_skip: int,
         safety_checker: StableDiffusionSafetyChecker,
         feature_extractor: CLIPFeatureExtractor,
+        image_encoder: CLIPVisionModelWithProjection = None,  # Incluindo o image_encoder
         requires_safety_checker: bool = True,
         clip_skip: int = 1,
     ):
+        self._clip_skip_internal = clip_skip
         super().__init__(
             vae=vae,
             text_encoder=text_encoder,
@@ -530,11 +531,25 @@ def __init__(
             scheduler=scheduler,
             safety_checker=safety_checker,
             feature_extractor=feature_extractor,
+            image_encoder=image_encoder,
             requires_safety_checker=requires_safety_checker,
         )
-        self.clip_skip = clip_skip
         self.__init__additional__()
 
+    @property
+    def clip_skip(self):
+        return self._clip_skip_internal
+
+    @clip_skip.setter
+    def clip_skip(self, value):
+        self._clip_skip_internal = value
+
+    def __setattr__(self, name: str, value):
+        if name == "clip_skip":
+            object.__setattr__(self, "_clip_skip_internal", value)
+        else:
+            super().__setattr__(name, value)
+
     # else:
     #     def __init__(
     #         self,