Update app.py

app.py

@@ -2,23 +2,33 @@ import torch
 from diffusers import StableDiffusionPipeline
 import gradio as gr
 
+# Load the model
 model_id = "SG161222/RealVisXL_V4.0"
 pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
 pipe.to("cpu")  # Use "cuda" if GPU is available
 
-def generate_image(
-    prompt: str,
-    negative_prompt: str = "",
-    use_negative_prompt: bool = False,
-    style: str = DEFAULT_STYLE_NAME,
-    seed: int = 0,
-    width: int = 1024,
-    height: int = 1024,
-    guidance_scale: float = 3,
-    randomize_seed: bool = False,
-    use_resolution_binning: bool = True,
-    progress=gr.Progress(track_tqdm=True),
-):
+# Define placeholder functions and variables
+DEFAULT_STYLE_NAME = "default"
+default_negative = ""
+NUM_IMAGES_PER_PROMPT = 1
+
+def check_text(prompt, negative_prompt):
+    # Implement your text check logic here
+    return False
+
+def apply_style(style, prompt, negative_prompt):
+    # Implement your style application logic here
+    return prompt, negative_prompt
+
+def randomize_seed_fn(seed, randomize_seed):
+    # Implement your seed randomization logic here
+    return seed
+
+def save_image(image):
+    # Implement your image saving logic here
+    return image
+
+def generate_image(prompt, negative_prompt="", use_negative_prompt=False, style=DEFAULT_STYLE_NAME, seed=0, width=1024, height=1024, guidance_scale=3, randomize_seed=False, use_resolution_binning=True, progress=gr.Progress(track_tqdm=True)):
     if check_text(prompt, negative_prompt):
         raise ValueError("Prompt contains restricted words.")
     
@@ -27,7 +37,7 @@ def generate_image(
     generator = torch.Generator().manual_seed(seed)
 
     if not use_negative_prompt:
-        negative_prompt = ""  # type: ignore
+        negative_prompt = ""
     negative_prompt += default_negative    
 
     options = {
@@ -43,7 +53,7 @@ def generate_image(
         "output_type": "pil",
     }
     
-    images = pipe(**options).images + pipe2(**options).images
+    images = pipe(**options).images
 
     image_paths = [save_image(img) for img in images]
     return image_paths, seed