Update app.py

app.py

@@ -1,20 +1,36 @@
 import gradio as gr
 import numpy as np
 import random
-from diffusers import DiffusionPipeline
+from diffusers import StableDiffusionPipeline, LCMScheduler
 import torch
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
+adapter_id = "jasperai/flash-sd"
 
 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 = StableDiffusionPipeline.from_pretrained(
+        "runwayml/stable-diffusion-v1-5",
+          use_safetensors=True,
+    )
     pipe.enable_xformers_memory_efficient_attention()
     pipe = pipe.to(device)
 else: 
-    pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", use_safetensors=True)
+    pipe = StableDiffusionPipeline.from_pretrained(
+      "runwayml/stable-diffusion-v1-5",
+      use_safetensors=True,
+    )
     pipe = pipe.to(device)
 
+pipe.scheduler = LCMScheduler.from_pretrained(
+    "runwayml/stable-diffusion-v1-5",
+    subfolder="scheduler",
+    timestep_spacing="trailing",
+)
+
+pipe.load_lora_weights(adapter_id)
+pipe.fuse_lora()
+
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
 
@@ -38,9 +54,9 @@ 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",
+    "The image showcases a freshly baked bread, possibly focaccia, with rosemary sprigs and red pepper flakes sprinkled on top. It's sliced and placed on a wire cooling rack, with a bowl of mixed peppercorns beside it.",
+    "A raccoon reading a book in a lush forest.",
+    "A serene landscape showcases a winding road alongside a vast, turquoise lake, flanked by majestic snow-capped mountains under a partly cloudy sky.",
 ]
 
 css="""
@@ -79,13 +95,6 @@ with gr.Blocks(css=css) as demo:
 
         with gr.Accordion("Advanced Settings", open=False):
             
-            negative_prompt = gr.Text(
-                label="Negative prompt",
-                max_lines=1,
-                placeholder="Enter a negative prompt",
-                visible=False,
-            )
-            
             seed = gr.Slider(
                 label="Seed",
                 minimum=0,
@@ -96,34 +105,10 @@ with gr.Blocks(css=css) as demo:
             
             randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
             
-            with gr.Row():
-                
-                width = gr.Slider(
-                    label="Width",
-                    minimum=256,
-                    maximum=MAX_IMAGE_SIZE,
-                    step=32,
-                    value=512,
-                )
-                
-                height = gr.Slider(
-                    label="Height",
-                    minimum=256,
-                    maximum=MAX_IMAGE_SIZE,
-                    step=32,
-                    value=512,
-                )
+
             
             with gr.Row():
                 
-                guidance_scale = gr.Slider(
-                    label="Guidance scale",
-                    minimum=0.0,
-                    maximum=10.0,
-                    step=0.1,
-                    value=0.0,
-                )
-                
                 num_inference_steps = gr.Slider(
                     label="Number of inference steps",
                     minimum=1,