3 files changed, 3 insertions, 3 deletions

diff --git a/train_dreambooth.py b/train_dreambooth.py
index 8cb6414..e239833 100644
--- a/train_dreambooth.py
+++ b/train_dreambooth.py
@@ -556,7 +556,6 @@ def main():
         text_encoder.resize_token_embeddings(len(tokenizer))
 
         token_embeds = text_encoder.get_input_embeddings().weight.data
-        original_token_embeds = token_embeds.clone().to(accelerator.device)
         initializer_token_embeddings = text_encoder.get_input_embeddings()(initializer_token_ids)
 
         for (token_id, embeddings) in zip(placeholder_token_id, initializer_token_embeddings):
diff --git a/training/optimization.py b/training/optimization.py
index c501ed9..3809f3b 100644
--- a/training/optimization.py
+++ b/training/optimization.py
@@ -6,7 +6,7 @@ from diffusers.utils import logging
 logger = logging.get_logger(__name__)
 
 
-def get_one_cycle_schedule(optimizer, num_training_steps, annealing="cos", min_lr=0.001, mid_point=0.4, last_epoch=-1):
+def get_one_cycle_schedule(optimizer, num_training_steps, annealing="cos", min_lr=0.01, mid_point=0.4, last_epoch=-1):
     """
     Create a schedule with a learning rate that decreases linearly from the initial lr set in the optimizer to 0, after
     a warmup period during which it increases linearly from 0 to the initial lr set in the optimizer.
diff --git a/training/ti.py b/training/ti.py
index 1318e22..031fe48 100644
--- a/training/ti.py
+++ b/training/ti.py
@@ -22,7 +22,8 @@ class TrainableEmbeddings(CLIPTextEmbeddings):
         self.train_indices = torch.tensor(new_ids)
 
         self.trainable_embedding = nn.Embedding(self.token_embedding.num_embeddings, self.token_embedding.embedding_dim)
-        self.trainable_embedding.weight.data = self.token_embedding.weight.data.clone()
+        self.trainable_embedding.weight.data.zero_()
+        self.trainable_embedding.weight.data[self.train_indices] = self.token_embedding.weight.data[self.train_indices]
 
     def forward(
         self,