diff --git a/examples/multi_trans.py b/examples/multi_trans.py
index ff1259b..ac3e726 100644
--- a/examples/multi_trans.py
+++ b/examples/multi_trans.py
@@ -14,22 +14,63 @@ pretrained_model_name_or_path = "stabilityai/stable-diffusion-xl-base-1.0"
 
 pipe = AutoPipelineForText2Image.from_pretrained(pretrained_model_name_or_path, torch_dtype=torch.float16, variant="fp16")
 pipe.to('cuda')
-be = BlendingEngine(pipe)
-
+be = BlendingEngine(pipe, do_compile=True)
+be.set_negative_prompt("blurry, pale, low-res, lofi")
 # %% Let's setup the multi transition
 fps = 30
 duration_single_trans = 10
+be.set_dimensions((1024, 1024))
+nmb_prompts = 20
+
+
+
+
 
 # Specify a list of prompts below
+#%%
+
 list_prompts = []
-list_prompts.append("Photo of a house, high detail")
-list_prompts.append("Photo of an elephant in african savannah")
-list_prompts.append("photo of a house, high detail")
+list_prompts.append("high resolution ultra 8K image with lake and forest")
+# list_prompts.append("strange and alien desolate lanscapes 8K")
+# list_prompts.append("ultra high res psychedelic skyscraper city landscape 8K unreal engine")
+list_prompts = list_prompts*10
+
+be.set_prompt1(list_prompts[0])
+be.compute_latents1(True)
+
+#img = pipe(list_prompts[0]).images[0]
 
 
+#%%
+# import os
+# import random
+
+# # Directory containing the text files
+# dir_prompts = "/raid/data/diffusion/flamengalo/prompts_surreal"
+
+# # List to store the contents of selected text files
+# list_prompts = []
+
+# # List all files in the directory
+# file_list = os.listdir(dir_prompts)
+
+# # Shuffle the file list to get random files
+# random.shuffle(file_list)
+
+# # Loop through the first nmb_prompts files and read their contents
+# for filename in file_list[:nmb_prompts]:
+#     file_path = os.path.join(dir_prompts, filename)
+#     try:
+#         with open(file_path, 'r') as file:
+#             content = file.read()
+#             list_prompts.append(content)
+#     except Exception as e:
+#         print(f"except {e}")
+#%%
+fp_movie = f'surreal_nmb{len(list_prompts)}.mp4'
 # Specify the seeds
-list_seeds = np.random.randint(0, 10^9, len(list_prompts))
-fp_movie = 'movie_example2.mp4'
+list_seeds = np.random.randint(0, 1111111111111, len(list_prompts))
+
 
 
 list_movie_parts = []