Update app.py

app.py

@@ -3,7 +3,6 @@ import requests
 import io
 import random
 import os
-import time
 from PIL import Image
 from deep_translator import GoogleTranslator
 
@@ -14,7 +13,7 @@ API_TOKEN = os.getenv("HF_READ_TOKEN")
 headers = {"Authorization": f"Bearer {API_TOKEN}"}
 timeout = 100
 
-def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Karras", seed=-1, strength=0.7):
+def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Karras", strength=0.7):
     if not prompt:
         return None
 
@@ -38,7 +37,6 @@ def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Ka
         "is_negative": is_negative,
         "steps": steps,
         "cfg_scale": cfg_scale,
-        "seed": seed if seed != -1 else random.randint(1, 1000000000),
         "strength": strength
     }
 
@@ -75,7 +73,7 @@ input, textarea, select {
 button {
     background-color: #f5f5f5; /* Fondo gris claro */
     color: #333333; /* Texto gris oscuro */
-    border: 2px solid black; /* Borde negro en botones */
+    border: 1px solid black; /* Borde negro en botones */
 }
 
 button.primary {
@@ -116,25 +114,20 @@ with gr.Blocks(css=css) as app:
     with gr.Row():
         with gr.Column(scale=1):
             text_prompt = gr.Textbox(label="Prompt", placeholder="Enter a prompt here", lines=2, elem_id="prompt-text-input")
-            negative_prompt = gr.Textbox(label="Negative Prompt", placeholder="What should not be in the image", value="(deformed, distorted, disfigured), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, misspellings, typos", lines=3, elem_id="negative-prompt-text-input")
-            steps = gr.Slider(label="Sampling steps", value=35, minimum=1, maximum=100, step=1)
-            cfg = gr.Slider(label="CFG Scale", value=7, minimum=1, maximum=20, step=1)
-            method = gr.Radio(label="Sampling method", value="DPM++ 2M Karras", choices=["DPM++ 2M Karras", "DPM++ SDE Karras", "Euler", "Euler a", "Heun", "DDIM"])
-            strength = gr.Slider(label="Strength", value=0.7, minimum=0, maximum=1, step=0.001)
-            seed = gr.Slider(label="Seed", value=-1, minimum=-1, maximum=1000000000, step=1)
-
+            
+            with gr.Accordion("Opciones Avanzadas", open=False):
+                negative_prompt = gr.Textbox(label="Negative Prompt", placeholder="What should not be in the image", value="(deformed, distorted, disfigured), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, misspellings, typos", lines=3, elem_id="negative-prompt-text-input")
+                steps = gr.Slider(label="Sampling steps", value=35, minimum=1, maximum=100, step=1)
+                cfg = gr.Slider(label="CFG Scale", value=7, minimum=1, maximum=20, step=1)
+                method = gr.Radio(label="Sampling method", value="DPM++ 2M Karras", choices=["DPM++ 2M Karras", "DPM++ SDE Karras", "Euler", "Euler a", "Heun", "DDIM"])
+                strength = gr.Slider(label="Strength", value=0.7, minimum=0, maximum=1, step=0.001)
+            
             with gr.Row(elem_id="button-row"):
-                clear_button = gr.Button("Clear", elem_id="clear-button", variant="secondary")
                 generate_button = gr.Button("Generate", elem_id="generate-button", variant="primary")
 
         with gr.Column(scale=1):
             image_output = gr.Image(type="pil", label="Image Output", elem_id="gallery")
 
-    generate_button.click(query, inputs=[text_prompt, negative_prompt, steps, cfg, method, seed, strength], outputs=image_output)
-    
-    def clear_prompt():
-        return gr.Textbox.update(value="")
-    
-    clear_button.click(clear_prompt, inputs=[], outputs=text_prompt)
+    generate_button.click(query, inputs=[text_prompt, negative_prompt, steps, cfg, method, strength], outputs=image_output)
 
 app.launch(show_api=False, share=False)