Update app.py

app.py

@@ -7,15 +7,31 @@ 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
-
 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)
-pipe = pipe.to(device)
+# список моделей для выбора
+MODEL_OPTIONS = [
+    "stabilityai/sdxl-turbo",
+    "CompVis/stable-diffusion-v1-4",
+    "runwayml/stable-diffusion-v1-5",
+    "stabilityai/stable-diffusion-2-1",
+]
+
+# глобальная переменная пайплайна
+pipe = None
+
+
+def load_model(model_id):
+    global pipe
+    pipe = DiffusionPipeline.from_pretrained(model_id, torch_dtype=torch_dtype)
+    pipe = pipe.to(device)
+
+
+# загрузим модель по умолчанию
+load_model(MODEL_OPTIONS[0])
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
@@ -23,6 +39,7 @@ MAX_IMAGE_SIZE = 1024
 
 # @spaces.GPU #[uncomment to use ZeroGPU]
 def infer(
+    model_id,
     prompt,
     negative_prompt,
     seed,
@@ -33,6 +50,12 @@ def infer(
     num_inference_steps,
     progress=gr.Progress(track_tqdm=True),
 ):
+    global pipe
+
+    # если модель поменялась — перезагружаем
+    if pipe is None or pipe.config._name_or_path != model_id:
+        load_model(model_id)
+
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
 
@@ -68,6 +91,13 @@ with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
         gr.Markdown(" # Text-to-Image Gradio Template")
 
+        # выбор модели
+        model_id = gr.Dropdown(
+            choices=MODEL_OPTIONS,
+            value=MODEL_OPTIONS[0],
+            label="Model",
+        )
+
         with gr.Row():
             prompt = gr.Text(
                 label="Prompt",
@@ -86,7 +116,7 @@ with gr.Blocks(css=css) as demo:
                 label="Negative prompt",
                 max_lines=1,
                 placeholder="Enter a negative prompt",
-                visible=False,
+                visible=True,
             )
 
             seed = gr.Slider(
@@ -94,7 +124,7 @@ with gr.Blocks(css=css) as demo:
                 minimum=0,
                 maximum=MAX_SEED,
                 step=1,
-                value=0,
+                value=42,
             )
 
             randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
@@ -105,7 +135,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=1024,  # Replace with defaults that work for your model
+                    value=512,
                 )
 
                 height = gr.Slider(
@@ -113,24 +143,24 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=1024,  # Replace with defaults that work for your model
+                    value=512,
                 )
 
             with gr.Row():
                 guidance_scale = gr.Slider(
                     label="Guidance scale",
                     minimum=0.0,
-                    maximum=10.0,
-                    step=0.1,
-                    value=0.0,  # Replace with defaults that work for your model
+                    maximum=20.0,
+                    step=0.5,
+                    value=7.0,
                 )
 
                 num_inference_steps = gr.Slider(
                     label="Number of inference steps",
                     minimum=1,
-                    maximum=50,
+                    maximum=100,
                     step=1,
-                    value=2,  # Replace with defaults that work for your model
+                    value=20,
                 )
 
         gr.Examples(examples=examples, inputs=[prompt])
@@ -138,6 +168,7 @@ with gr.Blocks(css=css) as demo:
         triggers=[run_button.click, prompt.submit],
         fn=infer,
         inputs=[
+            model_id,
             prompt,
             negative_prompt,
             seed,