Update app.py

app.py

@@ -3,18 +3,24 @@ import numpy as np
 import random
 
 # import spaces #[uncomment to use ZeroGPU]
-from diffusers import DiffusionPipeline
+from diffusers import DiffusionPipeline, AutoPipelineForText2Image
 import torch
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
-model_repo_id = "runwayml/stable-diffusion-v1-5"  # Replace to the model you would like to use
+model_repo_id = "stabilityai/sdxl-turbo"
 
 if torch.cuda.is_available():
     torch_dtype = torch.float16
 else:
     torch_dtype = torch.float32
 
-pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
+# Load pipeline with safety checker disabled
+pipe = AutoPipelineForText2Image.from_pretrained(
+    model_repo_id, 
+    torch_dtype=torch_dtype,
+    safety_checker=None,
+    requires_safety_checker=False
+)
 pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
@@ -36,13 +42,16 @@ def infer(
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
 
-    generator = torch.Generator().manual_seed(seed)
+    generator = torch.Generator(device=device).manual_seed(seed)
 
+    # SDXL-Turbo works best with these settings:
+    # - guidance_scale should be 0.0 (it's trained without guidance)
+    # - num_inference_steps should be 1-4 for best results
     image = pipe(
         prompt=prompt,
         negative_prompt=negative_prompt,
-        guidance_scale=guidance_scale,
-        num_inference_steps=num_inference_steps,
+        guidance_scale=0.0,  # SDXL-Turbo requires 0.0
+        num_inference_steps=max(1, min(4, num_inference_steps)),  # Clamp to 1-4
         width=width,
         height=height,
         generator=generator,
@@ -55,7 +64,7 @@ examples = [
     "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
     "An astronaut riding a green horse",
     "A delicious ceviche cheesecake slice",
-    "Wolf ki bund",
+    "Beautiful landscape with mountains and lake at sunset",
 ]
 
 css = """
@@ -270,7 +279,7 @@ css = """
     border: 1px solid var(--border-color) !important;
     border-radius: 10px;
     padding: 20px;
-    margin: 20px 0;
+    margin: 20px;
 }
 
 .gradio-container .gradio-examples .label {
@@ -346,6 +355,7 @@ css = """
 with gr.Blocks(css=css, title="AI Image Generator", theme=gr.themes.Base()) as demo:
     with gr.Column(elem_id="col-container"):
         gr.Markdown("# AI Image Generator")
+        gr.Markdown("*Powered by SDXL-Turbo - Optimized for fast generation (1-4 steps)*")
 
         with gr.Row():
             prompt = gr.Text(
@@ -385,7 +395,7 @@ with gr.Blocks(css=css, title="AI Image Generator", theme=gr.themes.Base()) as d
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=1024,
+                    value=512,
                 )
 
                 height = gr.Slider(
@@ -393,24 +403,25 @@ with gr.Blocks(css=css, title="AI Image Generator", theme=gr.themes.Base()) as d
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=1024,
+                    value=512,
                 )
 
             with gr.Row():
                 guidance_scale = gr.Slider(
-                    label="Guidance Scale",
+                    label="Guidance Scale (Ignored - SDXL-Turbo uses 0.0)",
                     minimum=0.0,
                     maximum=10.0,
                     step=0.1,
-                    value=7.5,
+                    value=0.0,
+                    interactive=False,
                 )
 
                 num_inference_steps = gr.Slider(
-                    label="Inference Steps",
+                    label="Inference Steps (1-4 recommended)",
                     minimum=1,
-                    maximum=50,
+                    maximum=10,
                     step=1,
-                    value=20,
+                    value=2,
                 )
 
         gr.Examples(