22

app.py

@@ -187,11 +187,19 @@ with gr.Blocks(css=css) as demo:
                 is_polish_prompt = gr.Checkbox(label="Polish prompt", value=True)
                 control_mode = gr.Radio(
                     choices=["Canny", "Depth", "HED", "MLSD", "Pose"],
-                    value="HED",
+                    value="Canny",
                     label="Control Mode"
                 )
                 run_button = gr.Button("Generate", variant="primary")
                 with gr.Accordion("Advanced Settings", open=False):
+                    
+                    negative_prompt = gr.Textbox(
+                        label="Negative prompt",
+                        lines=2,
+                        placeholder="Enter your prompt",
+                        value="blurry ugly bad"
+                    )
+
                     seed = gr.Slider(
                         label="Seed",
                         minimum=0,
@@ -201,22 +209,16 @@ with gr.Blocks(css=css) as demo:
                     )
 
                     randomize_seed = gr.Checkbox(label="Randomize seed", value=False)
-                    negative_prompt = gr.Textbox(
-                        label="Negative prompt",
-                        lines=2,
-                        placeholder="Enter your prompt",
-                        value="blurry ugly bad"
-                    )
                     with gr.Row():
-                        image_scale = gr.Slider(
-                            label="Image scale",
-                            minimum=0.5,
-                            maximum=2.0,
-                            step=0.1,
-                            value=1.0,
+                        num_inference_steps = gr.Slider(
+                            label="Steps",
+                            minimum=1,
+                            maximum=30,
+                            step=1,
+                            value=9,
                         )
                         control_context_scale = gr.Slider(
-                            label="Control context scale",
+                            label="Context scale",
                             minimum=0.0,
                             maximum=1.0,
                             step=0.01,
@@ -232,13 +234,14 @@ with gr.Blocks(css=css) as demo:
                             value=1.0,
                         )
 
-                        num_inference_steps = gr.Slider(
-                            label="Number of inference steps",
-                            minimum=1,
-                            maximum=50,
-                            step=1,
-                            value=15,
+                        image_scale = gr.Slider(
+                            label="Image scale",
+                            minimum=0.5,
+                            maximum=2.0,
+                            step=0.1,
+                            value=1.0,
                         )
+
             with gr.Column():
                 output_image = gr.Image(label="Generated image", show_label=False)
                 polished_prompt = gr.Textbox(label="Polished prompt", interactive=False)

static/footer.html

@@ -1,16 +1,16 @@
 <div style="max-width: 640px;">
-	I made this space after seeing a Reddit post about using ControlNet editing with Z-Image from Alibaba.
-	The code looks solid and serves as a great example. I believe there’s a lot of potential to build on top of this, add new features, and explore even more creative ideas using this technique.
-
-	<h2>Usage</h2>
-	You can change control_context_scale for more control and better detail. 
-	For best results, use a detailed prompt.
-	The recommended control_context_scale range is 0.65 to 0.80.
-
+	<h2>Usage</h2> 
+	<ul>
+		<li>For best results, ZIT need a detailed prompt, which can be provided by enabling polish prompt.</li>
+	</ul>
+	<li>
+		You can change control_context_scale for more control and better detail.
+		The recommended control_context_scale range is 0.65 to 0.80.
+	</li>
 	<h2>Reference</h2>
 	<ul>
-		<li>Tongyi-MAI/Z-Image-Turbo: <a href="https://huggingface.co/Tongyi-MAI/Z-Image-Turbo">https://huggingface.co/Tongyi-MAI/Z-Image-Turbo</a></li>
-		<li>alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union: <a href="https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union">https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union</a></li>
+		<li>alibaba-pai: <a href="https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union">https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union</a></li>
+		<li>Tongyi-MAI: <a href="https://huggingface.co/Tongyi-MAI/Z-Image-Turbo">https://huggingface.co/Tongyi-MAI/Z-Image-Turbo</a></li>
 		<li>VideoX-Fun: <a href="https://github.com/aigc-apps/VideoX-Fun" rel="nofollow">https://github.com/aigc-apps/VideoX-Fun</a></li>
 		<!-- https://github.com/comfyanonymous/ComfyUI/pull/11062 -->
 	</ul>