Update app.py

app.py

@@ -23,7 +23,7 @@ pipe_normal.load_textual_inversion(state_dict["clip_l"], token="unaestheticXLv31
 
 pipe_normal.to("cuda")
 
-pipe_normal.enable_freeu(s1=0.9, s2=0.2, b1=1.3, b2=1.4)
+#pipe_normal.enable_freeu(s1=0.9, s2=0.2, b1=1.3, b2=1.4)
 
 compel = Compel(tokenizer=[pipe_normal.tokenizer, pipe_normal.tokenizer_2] , 
                 text_encoder=[pipe_normal.text_encoder, pipe_normal.text_encoder_2], 
@@ -33,7 +33,7 @@ compel = Compel(tokenizer=[pipe_normal.tokenizer, pipe_normal.tokenizer_2] ,
 @spaces.GPU
 def run_normal(prompt, negative_prompt="", guidance_scale=7.5, progress=gr.Progress(track_tqdm=True)):
     conditioning, pooled = compel(prompt)
-    negative_conditioning, negatice_pooled = compel("unaestheticXLv31, bad hand, bad anatomy, low quality, "+negative_prompt)
+    negative_conditioning, negatice_pooled = compel("unaestheticXLv31-, bad hand, bad anatomy, low quality, "+negative_prompt)
     result = pipe_normal(
         prompt_embeds=conditioning,
         pooled_prompt_embeds=pooled, 
@@ -56,8 +56,8 @@ margin: 0 auto;
 normal_examples = [
     "1girl, (upper body)++, brown bob short hair, brown eyes, looking at viewer, cherry blossom",
     "1girl, (full body)++, brown bob short hair, brown eyes, school uniform, cherry blossom",
-    "no person, manga, Mt. fuji, 4k, highly, detailed",
-    "no person, anime, Tokyo, 4k, highly, detailed",
+    "no person, manga, black and white, monochrome, Mt. fuji, 4k, highly, detailed",
+    "no person, manga, black and white, monochrome, buldings in Tokyo from sky, 4k, highly, detailed",
     "1boy, (upper body)++, black short hair, black eyes, looking at viewer, green leaves",
     "1boy, (full body)++, black bob short hair, black eyes, school uniform, green leaves",
 ]
@@ -73,7 +73,7 @@ with gr.Blocks(css=css) as demo:
         output_normal = gr.Image(label="Your result image", interactive=False)
         with gr.Accordion("Advanced Settings", open=False):
           negative_prompt_normal = gr.Textbox(label="Negative Prompt")
-          guidance_scale_normal = gr.Number(label="Guidance Scale", value=7)
+          guidance_scale_normal = gr.Number(label="Guidance Scale", value=7.5)
     gr.Examples(examples=normal_examples, fn=run_normal, inputs=[prompt_normal], outputs=[output_normal], cache_examples=True) 
     
     gr.on(