fix widget I/Os

app.py

@@ -1,24 +1,26 @@
 import gradio as gr
 import numpy as np
 import random
-from diffusers import DiffusionPipeline
+
+from diffusers import StableDiffusionPipeline
 import torch
 
 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("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
-    pipe.enable_xformers_memory_efficient_attention()
+    pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16)
+    #pipe.enable_xformers_memory_efficient_attention()
     pipe = pipe.to(device)
 else: 
-    pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", use_safetensors=True)
+    pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5")
     pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
 
-def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
+
+def infer(prompt, negative_prompt="", seed=42, randomize_seed=False, width=512, height=512, guidance_scale=7.0, num_inference_steps=25):
 
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
@@ -35,7 +37,7 @@ def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance
         generator = generator
     ).images[0] 
     
-    return image
+    return image, seed
 
 examples = [
     "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
@@ -65,13 +67,23 @@ with gr.Blocks(css=css) as demo:
         
         with gr.Row():
             
-            prompt = gr.Text(
-                label="Prompt",
-                show_label=False,
-                max_lines=1,
-                placeholder="Enter your prompt",
-                container=False,
-            )
+            with gr.Column():
+            
+                prompt = gr.Text(
+                    label="Prompt",
+                    show_label=False,
+                    max_lines=1,
+                    placeholder="Enter your prompt",
+                    container=False,
+                )
+                
+                negative_prompt = gr.Text(
+                    label="Prompt",
+                    show_label=False,
+                    max_lines=1,
+                    placeholder="(option) Enter your negative prompt",
+                    container=False,
+                )
             
             run_button = gr.Button("Run", scale=0)
         
@@ -136,14 +148,15 @@ with gr.Blocks(css=css) as demo:
             examples = examples,
             fn = infer,
             inputs = [prompt],
-            outputs = [result],
+            outputs = [result, seed],
             cache_examples="lazy"
         )
 
-    run_button.click(
+    gr.on(
+        triggers=[run_button.click, prompt.submit],
         fn = infer,
-        inputs = [prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
-        outputs = [result]
+        inputs = [prompt, negative_prompt, seed, randomize_seed, width, height, num_inference_steps],
+        outputs = [result, seed]
     )
 
 demo.queue().launch()