Update app.py

app.py

@@ -7,7 +7,7 @@ from diffusers import DiffusionPipeline
 import torch
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
-model_repo_id = "stabilityai/sdxl-turbo"  # Replace to the model you would like to use
+model_repo_id = "table-diffusion-v1-5/stable-diffusion-v1-5"  # Replace to the model you would like to use
 
 if torch.cuda.is_available():
     torch_dtype = torch.float16
@@ -18,7 +18,7 @@ pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
 pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
-MAX_IMAGE_SIZE = 750
+MAX_IMAGE_SIZE = 758
 
 from datasets import load_dataset, Dataset
 
@@ -130,7 +130,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=0,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=600,  # Replace with defaults that work for your model
+                    value=608,  # Replace with defaults that work for your model
                 )
 
                 height = gr.Slider(
@@ -138,7 +138,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=0,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=750,  # Replace with defaults that work for your model
+                    value=758,  # Replace with defaults that work for your model
                 )
 
             with gr.Row():