improve ui

main.py

@@ -17,8 +17,16 @@ models = model_loader.from_pretrained(weights_url, device)
 pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", use_safetensors=True)
 pipe = pipe.to(device)
 
-def generate_image(prompt, negative_prompt, seed, guidance_scale, num_inference_steps, model):
+MIN_IMAGE_SIZE = 256
+MAX_IMAGE_SIZE = 1024
 
+MAX_SEED = 2147483647 # 2^31 - 1
+
+def generate_image(prompt, negative_prompt, seed, randomize_seed, guidance_scale, num_inference_steps, model, width, height):
+
+    if randomize_seed:
+        seed = torch.randint(0, MAX_SEED, (1,)).item()
+        
     generator = torch.Generator(device=device).manual_seed(seed)
 
     if model == "from-scratch":
@@ -29,8 +37,8 @@ def generate_image(prompt, negative_prompt, seed, guidance_scale, num_inference_
             strength=0.9,
             cfg_scale=guidance_scale,
             n_inference_steps=num_inference_steps,
-            width=512,
-            height=512,
+            width=width,
+            height=height,
             generator=generator,
             device=device,
             idle_device="cpu",
@@ -43,8 +51,8 @@ def generate_image(prompt, negative_prompt, seed, guidance_scale, num_inference_
             negative_prompt=negative_prompt,
             guidance_scale=guidance_scale,
             num_inference_steps=num_inference_steps,
-            width=512,
-            height=512,
+            width=width,
+            height=height,
             generator=generator,
         ).images[0]
 
@@ -96,30 +104,33 @@ with gr.Blocks(css=css) as demo:
                     interactive=True,
                 )
 
+            with gr.Row():
+
                 seed = gr.Slider(
                     label="Seed",
                     minimum=0,
-                    maximum=2147483647, # 2^31 - 1
+                    maximum=MAX_SEED,
                     step=1,
                     value=42,
                 )
+
+                randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+
+            with gr.Row():
             
-            negative_prompt = gr.Text(
-                label="Negative prompt",
-                max_lines=1,
-                placeholder="Enter a negative prompt",
-                visible=False,
-                value="",
-            )
-            
-            # randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
-            
-            """
+                negative_prompt = gr.Text(
+                    label="Negative prompt",
+                    max_lines=1,
+                    placeholder="Enter a negative prompt",
+                    visible=False,
+                    value="",
+                )
+                        
             with gr.Row():
                 
                 width = gr.Slider(
                     label="Width",
-                    minimum=256,
+                    minimum=MIN_IMAGE_SIZE,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
                     value=512,
@@ -127,12 +138,11 @@ with gr.Blocks(css=css) as demo:
                 
                 height = gr.Slider(
                     label="Height",
-                    minimum=256,
+                    minimum=MIN_IMAGE_SIZE,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
                     value=512,
                 )
-            """
             
             with gr.Row():
                 
@@ -154,7 +164,7 @@ with gr.Blocks(css=css) as demo:
 
     run_button.click(
         fn = generate_image,
-        inputs = [prompt, negative_prompt, seed, guidance_scale, num_inference_steps, model],
+        inputs = [prompt, negative_prompt, seed, randomize_seed, guidance_scale, num_inference_steps, model, width, height],
         outputs = [result]
     )