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 = "runwayml/stable-diffusion-v1-5"  # Replace to the model you would like to use
 
 if torch.cuda.is_available():
     torch_dtype = torch.float16
@@ -16,6 +16,7 @@ else:
 
 pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
 pipe = pipe.to(device)
+pipe.load_lora_weights("OVAWARE/plixel-minecraft")
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
@@ -102,18 +103,18 @@ with gr.Blocks(css=css) as demo:
             with gr.Row():
                 width = gr.Slider(
                     label="Width",
-                    minimum=256,
+                    minimum=16,
                     maximum=MAX_IMAGE_SIZE,
-                    step=32,
-                    value=1024,  # Replace with defaults that work for your model
+                    step=16,
+                    value=256,  # Replace with defaults that work for your model
                 )
 
                 height = gr.Slider(
                     label="Height",
-                    minimum=256,
+                    minimum=16,
                     maximum=MAX_IMAGE_SIZE,
-                    step=32,
-                    value=1024,  # Replace with defaults that work for your model
+                    step=16,
+                    value=256,  # Replace with defaults that work for your model
                 )
 
             with gr.Row():