.

app.py

@@ -138,7 +138,7 @@ with gr.Blocks() as demo:
             prompt = gr.Textbox(label="Enter the text to get a good start")
             btn = gr.Button()
             size = gr.Slider(label="Size", minimum=256, maximum=MAX_IMAGE_SIZE, step=8, value=1024)
-            num_inference_steps = gr.Slider(label="num_inference_steps", minimum=1, maximum=100, value=20)
+            num_inference_steps = gr.Slider(label="num_inference_steps", minimum=1, maximum=100,step=1, value=20)
             out_img = gr.Image()
             btn.click(Banner.Image2Image_2, [prompt, img,size,num_inference_steps], out_img)
 

options/Banner_Model/Image2Image_2.py

@@ -23,5 +23,5 @@ def I2I_2(image, prompt,size,num_inference_steps):
     image.resize((size,size))
     image=processor(image)
     generator = torch.Generator(device=device).manual_seed(0)
-    image = pipe(prompt, num_inference_steps=num_inference_steps, generator=generator, image=image,negative_prompt="longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality").images[0]
+    image = pipe(prompt+"best quality, extremely detailed", num_inference_steps=num_inference_steps, generator=generator, image=image,negative_prompt="longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality").images[0]
     return image