Update app.py

app.py

@@ -1,22 +1,22 @@
 import gradio as gr
 import numpy as np
 import random
-from diffusers import DiffusionPipeline
 import torch
+from diffusers import StableDiffusion3Pipeline
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
 if torch.cuda.is_available():
     torch.cuda.max_memory_allocated(device=device)
-    pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
+    pipe = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", torch_dtype=torch.float16)
     pipe.enable_xformers_memory_efficient_attention()
     pipe = pipe.to(device)
 else: 
-    pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", use_safetensors=True)
+    pipe = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", torch_dtype=torch.float16)
     pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
-MAX_IMAGE_SIZE = 1024
+MAX_IMAGE_SIZE = 2048
 
 def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
 
@@ -37,12 +37,6 @@ def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance
     
     return image
 
-examples = [
-    "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
-    "An astronaut riding a green horse",
-    "A delicious ceviche cheesecake slice",
-]
-
 css="""
 #col-container {
     margin: 0 auto;
@@ -50,17 +44,12 @@ css="""
 }
 """
 
-if torch.cuda.is_available():
-    power_device = "GPU"
-else:
-    power_device = "CPU"
 
 with gr.Blocks(css=css) as demo:
     
     with gr.Column(elem_id="col-container"):
         gr.Markdown(f"""
-        # Text-to-Image Gradio Template
-        Currently running on {power_device}.
+        # FallnAI Text2Image
         """)
         
         with gr.Row():
@@ -68,7 +57,7 @@ with gr.Blocks(css=css) as demo:
             prompt = gr.Text(
                 label="Prompt",
                 show_label=False,
-                max_lines=1,
+                max_lines=4,
                 placeholder="Enter your prompt",
                 container=False,
             )
@@ -103,7 +92,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=512,
+                    value=1024,
                 )
                 
                 height = gr.Slider(
@@ -111,7 +100,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=512,
+                    value=1024,
                 )
             
             with gr.Row():
@@ -121,7 +110,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=0.0,
                     maximum=10.0,
                     step=0.1,
-                    value=0.0,
+                    value=2.0,
                 )
                 
                 num_inference_steps = gr.Slider(
@@ -129,14 +118,10 @@ with gr.Blocks(css=css) as demo:
                     minimum=1,
                     maximum=12,
                     step=1,
-                    value=2,
+                    value=4,
                 )
         
-        gr.Examples(
-            examples = examples,
-            inputs = [prompt]
-        )
-
+        
     run_button.click(
         fn = infer,
         inputs = [prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],