update app

app.py

@@ -87,7 +87,7 @@ def get_samples():
             "image": "assets/2.jpg",
             "scale": 0.6,
             "seed": 42,
-            "text": "A photo of a dragon, imaginative, creative, design",
+            "text": "A photo of a monster cartoon character, imaginative, creative, design",
         },
         {
             "image": "assets/character1.jpg",
@@ -169,7 +169,6 @@ def create_app():
                 text_input = gr.Textbox(
                     lines=2, 
                     label="Text prompt", 
-                    value="A photo of a dragon, imaginative, creative, design", 
                     elem_id="text"
                 )
 

src/attention_processor.py

@@ -7,7 +7,7 @@ from typing import Callable, List, Optional, Tuple, Union
 class FluxBlendedAttnProcessor2_0(nn.Module):
     """Attention processor used typically in processing the SD3-like self-attention projections."""
 
-    def __init__(self, hidden_dim, ba_scale=1.0, num_ref=1, temperature=1.2):
+    def __init__(self, hidden_dim, ba_scale=1.0, num_ref=1):
         super().__init__()
         if not hasattr(F, "scaled_dot_product_attention"):
             raise ImportError("FluxBlendedAttnProcessor2_0 requires PyTorch 2.0, to use it, please upgrade PyTorch to 2.0.")
@@ -16,7 +16,6 @@ class FluxBlendedAttnProcessor2_0(nn.Module):
         self.blended_attention_v_proj = nn.Linear(hidden_dim, hidden_dim, bias=False)
         self.ba_scale = ba_scale
         self.num_ref = num_ref
-        self.temperature = temperature # this is used only when num_ref > 1
 
     def __call__(
         self,