ginipick commited on
Commit
32ac1ef
·
verified ·
1 Parent(s): 2826d9b

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +1 -1
app.py CHANGED
@@ -832,7 +832,7 @@ def create_demo():
832
  with gr.Column():
833
  prompt = gr.Textbox(label="Prompt(한글 가능)", value="A cute and fluffy golden retriever puppy sitting upright, holding a neatly designed white sign with bold, colorful lettering that reads 'Have a Happy Day!' in cheerful fonts. The puppy has expressive, sparkling eyes, a happy smile, and fluffy ears slightly flopped. The background is a vibrant and sunny meadow with soft-focus flowers, glowing sunlight filtering through the trees, and a warm golden glow that enhances the joyful atmosphere. The sign is framed with small decorative flowers, adding a charming and wholesome touch. Ensure the text on the sign is clear and legible.")
834
 
835
- width = gr.Slider(minimum=128, maximum=2048, step=64, label="Width", value=1360)
836
  height = gr.Slider(minimum=128, maximum=2048, step=64, label="Height", value=768)
837
  guidance = gr.Slider(minimum=1.0, maximum=5.0, step=0.1, label="Guidance", value=3.5)
838
  inference_steps = gr.Slider(
 
832
  with gr.Column():
833
  prompt = gr.Textbox(label="Prompt(한글 가능)", value="A cute and fluffy golden retriever puppy sitting upright, holding a neatly designed white sign with bold, colorful lettering that reads 'Have a Happy Day!' in cheerful fonts. The puppy has expressive, sparkling eyes, a happy smile, and fluffy ears slightly flopped. The background is a vibrant and sunny meadow with soft-focus flowers, glowing sunlight filtering through the trees, and a warm golden glow that enhances the joyful atmosphere. The sign is framed with small decorative flowers, adding a charming and wholesome touch. Ensure the text on the sign is clear and legible.")
834
 
835
+ width = gr.Slider(minimum=128, maximum=2048, step=64, label="Width", value=768)
836
  height = gr.Slider(minimum=128, maximum=2048, step=64, label="Height", value=768)
837
  guidance = gr.Slider(minimum=1.0, maximum=5.0, step=0.1, label="Guidance", value=3.5)
838
  inference_steps = gr.Slider(