Update app.py

app.py

@@ -79,7 +79,7 @@ def Piper(_do,_dont):
         width=1280,
         negative_prompt=_dont,
         num_inference_steps=50,
-        guidance_scale=7.5
+        guidance_scale=9
     )
 
 def infer(prompt,prompt2):
@@ -87,13 +87,13 @@ def infer(prompt,prompt2):
     prompt_en = translate(prompt,"english")
     prompt2_en = translate(prompt2,"english")
     if prompt == None or prompt.strip() == "":
-        _do = 'vivid colors, rough texture, dynamic poze, accurate, matched, realistic details, award winning photograph, soft natural lighting, deep field, high definition, highly detailed, 8k'
+        _do = 'muted colors, rough texture, dynamic poze, accurate, matched, realistic details, award winning photograph, soft natural lighting, deep field, high definition, highly detailed, 8k'
     else:
-        _do = f'{ prompt_en }, vivid colors, rough texture, dynamic poze, accurate, matched, realistic details, award winning photograph, soft natural lighting, deep field, high definition, highly detailed, 8k'
+        _do = f'{ prompt_en }, muted colors, rough texture, dynamic poze, accurate, matched, realistic details, award winning photograph, soft natural lighting, deep field, high definition, highly detailed, 8k'
     if prompt2 == None or prompt2.strip() == "":
         _dont = 'ugly, deformed, wierd, disfigured, poor details, bad anatomy, labels, texts, logos'
     else:
-        _dont = f'ugly, deformed, wierd, disfigured, poor details, bad anatomy, labels or texts or logos or {prompt2_en} - where in {prompt_en}, {prompt2_en}, labels, texts, logos'
+        _dont = f'ugly, deformed, wierd, disfigured, poor details, bad anatomy, {prompt2_en} where in {prompt_en}, logo where in {prompt_en}, text where in {prompt_en}, {prompt2_en}, labels'
     image = Piper(_do,_dont).images[0].save(name)
     return name