Update app.py

app.py

@@ -6,7 +6,9 @@ import os
 from threading import RLock
 from datetime import datetime
 
-preSetPrompt = "a tall slender athletic nude caucasian young woman. perky breasts. gorgeous face. sexy eyes. feme fatale. provocative. stainles steel metal dildo. masturbation. pussy dripping white fluid. high tech space ship interiour."
+
+preSetPrompt = "cute tall slender athletic 20+ caucasian woman. gorgeous face. perky tits. sly smile. lifting shirt. explicit pose. artistic. photorealistic. cinematic. f1.4"
+# preSetPrompt = "cute tall slender athletic 20+ nude caucasian woman. gorgeous face. perky tits. gaping outie pussy. pussy juice. sly smile. explicit pose. artistic. photorealistic. cinematic. f1.4"
 negPreSetPrompt = "[deformed | disfigured], poorly drawn, [bad : wrong] anatomy, [extra | missing | floating | disconnected] limb, (mutated hands and fingers), blurry, text, fuzziness"
 
 lock = RLock()
@@ -39,7 +41,6 @@ max_images = 6
 inference_timeout = 400
 default_models = models[:num_models]
 MAX_SEED = 2**32-1
-loopcounter = 1
 
 
 def extend_choices(choices):
@@ -85,11 +86,9 @@ async def infer(model_str, prompt, nprompt="", height=0, width=0, steps=0, cfg=0
     if task.done() and result is not None and not isinstance(result, tuple):
         with lock:
             # png_path = "img.png"
-            global loopcounter 
-            # png_path = get_current_time() + "_" + str(loopcounter) + ".png"
-            png_path = get_current_time() + "_" + model_str.replace("/", "_") + ".png"
-            # png_path = get_current_time() + "_" + str(models_load[model_str]) + "_" + str(seed) + ".png"
-            loopcounter += 1
+            # png_path = get_current_time() + "_" + model_str.replace("/", "_") + ".png"
+            # png_path =  model_str.replace("/", "_") + " - " +  prompt + " - " + get_current_time() + ".png"
+            png_path =  model_str.replace("/", "_") + " - " + get_current_time() + ".png"
             image = save_image(result, png_path, model_str, prompt, nprompt, height, width, steps, cfg, seed)
         return image
     return None
@@ -220,11 +219,11 @@ with gr.Blocks(theme='NoCrypt/miku@>=1.2.2', fill_width=True, css=CSS) as demo:
                         steps2 = gr.Slider(label="Number of inference steps", info="If 0, the default value is used.", maximum=100, step=1, value=0)
                         cfg2 = gr.Slider(label="Guidance scale", info="If 0, the default value is used.", maximum=30.0, step=0.1, value=0)
                         seed2 = gr.Slider(label="Seed", info="Randomize Seed if -1.", minimum=-1, maximum=MAX_SEED, step=1, value=-1)
-                        seed_rand2 = gr.Button("Randomize Seed 🎲", size="sm", variant="secondary")
+                        seed_rand2 = gr.Button("Randomize Seed", size="sm", variant="secondary")
                         seed_rand2.click(randomize_seed, None, [seed2], queue=False)
             num_images = gr.Slider(1, max_images, value=max_images, step=1, label='Number of images')
             with gr.Row():
-                gen_button2 = gr.Button('Generate', variant='primary', scale=2)
+                gen_button2 = gr.Button('Let the machine halucinate', variant='primary', scale=2)
                 #stop_button2 = gr.Button('Stop', variant='stop', interactive=False, scale=1)
                 #gen_button2.click(lambda: gr.update(interactive=True), None, stop_button2)