[decorators] cleaning up some stuff in generation part

app.py

@@ -44,21 +44,21 @@ async def on_ready():
 async def deepfloydif(ctx, *, prompt: str):
     try:
         try:
-            prompt = prompt.strip()[:100]  # Limit the prompt length to 100 characters
-            prompt = re.sub(r'[^\w\s]', '', prompt)  # Remove special characters
-    
             def check_reaction(reaction, user):
                 return user == ctx.author and str(reaction.emoji) in ['1️⃣', '2️⃣', '3️⃣', '4️⃣']   
     
             await ctx.message.add_reaction('👍')
             thread = await ctx.message.create_thread(name=f'{ctx.author} Image Upscaling Thread ')
             # create thread -> send new message inside thread + combined_image -> add reactions -> dfif2
-    
-            
+
+
+            negative_prompt = ''
+            seed = 0 # testing no random
             number_of_images = 4
-            current_time = int(time.time())
-            random.seed(current_time)
-            seed = random.randint(0, 2**32 - 1)
+            guidance_scale = 7
+            custom_timesteps_1 = 'smart50'
+            number_of_inference_steps = 50
+            
         except Exception as e:
             print(f"Error: {e}")
             await ctx.reply('stage 1 error -> pre generation')
@@ -66,7 +66,8 @@ async def deepfloydif(ctx, *, prompt: str):
 
         
         try:
-            stage_1_results, stage_1_param_path, stage_1_result_path = df.predict(prompt, "blur", seed, number_of_images, 7.0, 'smart100', 50, api_name="/generate64")
+            stage_1_results, stage_1_param_path, stage_1_result_path = 
+            df.predict(prompt, negative_prompt, seed, number_of_images, guidance_scale, custom_timesteps_1, number_of_inference_steps, api_name='/generate64')
             png_files = [f for f in os.listdir(stage_1_results) if f.endswith('.png')]
         except Exception as e:
             print(f"Error: {e}")