Update app.py

app.py

@@ -32,17 +32,20 @@ prompt = st.text_area("Enter your prompt:",
 negative_prompt = st.text_area("Enter your negative prompt:", 
                       "anime, cartoon, graphic, text, painting, crayon, graphite, abstract glitch, blurry")
 
-seed = st.number_input("Random seed (set to same value to generate same image, if other inputs are the same, change to generate a different image for same inputs)", value=None, placeholder="Type a number...")
+seed = st.number_input("Random seed", value=555, placeholder="Type a number...", help="set to same value to generate same image, if other inputs are the same, change to generate a different image for same inputs")
 # seed = 555
 
-num_inference_steps = st.slider("Number of Inference Steps (more steps might improve quality, with diminishing marginal returns. 30-50 seems best, but your mileage may vary.)", 
+num_inference_steps = st.slider("Number of Inference Steps", 
                                 min_value=1, 
                                 max_value=100, 
-                                value=20)
-denoising_start = st.slider("Denoising Start (when to stop modifying the overall image and start refining the details)", 
+                                value=20,
+                               help="more steps might improve quality, with diminishing marginal returns. 30-50 seems best, but your mileage may vary.")
+
+denoising_start = st.slider("Denoising Start", 
                             min_value=0.0, 
                             max_value=1.0, 
-                            value=0.8)
+                            value=0.8,
+                           help="when to stop modifying the overall image and start refining the details")
 
 
 
@@ -54,7 +57,7 @@ if st.button('Generate Image'):
             "prompt": prompt,
             "parameters": {
                 "num_inference_steps": num_inference_steps,
-                # "seed": seed,
+                "seed": seed,
                 "negative_prompt": negative_prompt
                 # "denoising_start": denoising_start
             }