bring back lora

app.py

@@ -102,6 +102,9 @@ pipe = FluxInpaintPipeline.from_pretrained(bfl_repo, torch_dtype=torch.bfloat16)
 MAX_SEED = np.iinfo(np.int32).max
 TRIGGER = "a photo of TOK"
 
+print(dir(pipe))
+
+
 @spaces.GPU(duration=100)
 def execute(image, prompt, debug=False):
   if not prompt :
@@ -117,8 +120,7 @@ def execute(image, prompt, debug=False):
 
   imgs = [ random_positioning(img), random_positioning(img)]
 
-  print(dir(pipe))
-  #pipe.load_lora_weights("XLabs-AI/flux-RealismLora", weight_name='lora.safetensors')
+  pipe.load_lora_weights("XLabs-AI/flux-RealismLora", weight_name='lora.safetensors')
   response = []
 
   for image in range(len(imgs)):
@@ -145,7 +147,7 @@ def execute(image, prompt, debug=False):
             generator=generator,
             num_inference_steps=28,
             max_sequence_length=256,
-            #joint_attention_kwargs={"scale": 0.9},
+            joint_attention_kwargs={"scale": 0.9},
         ).images[0]
 
     if debug: