Update app.py

app.py

@@ -3,9 +3,14 @@ import numpy as np
 import random
 
 import spaces #[uncomment to use ZeroGPU]
-from diffusers import DiffusionPipeline
+from diffusers import Lumina2Text2ImgPipeline
 import torch
 
+# //////////////////////////////////////////////////////////////////////////////
+
+
+
+# //////////////////////////////////////////////////////////////////////////////
 device = "cuda" if torch.cuda.is_available() else "cpu"
 model_repo_id = "Alpha-VLLM/Lumina-Image-2.0"  # Replace to the model you would like to use
 
@@ -14,7 +19,9 @@ if torch.cuda.is_available():
 else:
     torch_dtype = torch.float32
 
-pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
+pipe = Lumina2Text2ImgPipeline.from_pretrained("Alpha-VLLM/Lumina-Image-2.0", torch_dtype=torch.bfloat16)
+# pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power
+
 pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
@@ -52,6 +59,7 @@ def infer(
 
 
 examples = [
+    "A serene photograph capturing the golden reflection of the sun on a vast expanse of water. The sun is positioned at the top center, casting a brilliant, shimmering trail of light across the rippling surface. The water is textured with gentle waves, creating a rhythmic pattern that leads the eye towards the horizon. The entire scene is bathed in warm, golden hues, enhancing the tranquil and meditative atmosphere. High contrast, natural lighting, golden hour, photorealistic, expansive composition, reflective surface, peaceful, visually harmonious.",
     "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
     "An astronaut riding a green horse",
     "A delicious ceviche cheesecake slice",