update

app.py

@@ -70,9 +70,6 @@ def inference(
     controlnet_conditioning_scale: float = 1.5,
     strength: float = 0.9,
     seed: int = 2523992465,
-    init_image: Image.Image | None = None,
-    qrcode_image: Image.Image | None = None,
-    use_qr_code_as_init_image = True,
     sampler = "DPM++ Karras SDE",
 ):
     if prompt is None or prompt == "":
@@ -83,6 +80,10 @@ def inference(
 
     pipe.scheduler = SAMPLER_MAP[sampler](pipe.scheduler.config)
 
+    init_image = None
+    qrcode_image = None
+    use_qr_code_as_init_image = True
+
     generator = torch.manual_seed(seed) if seed != -1 else torch.Generator()
 
     if qr_code_content != "" or qrcode_image.size == (1, 1):
@@ -128,10 +129,6 @@ generator = gr.Interface(
             info="QR Code Content or URL",
             value="",
         ),
-        gr.Image(
-            label="QR Code Image (Optional). Leave blank to automatically generate QR code",
-            type="pil",
-        ),
         gr.Textbox(
             label="Prompt",
             info="Prompt that guides the generation towards",
@@ -140,8 +137,13 @@ generator = gr.Interface(
             label="Negative Prompt",
             value="ugly, disfigured, low quality, blurry, nsfw",
         ),
-        gr.Checkbox(label="Use QR code as init image", value=True, interactive=False, info="Whether init image should be QR code. Unclick to pass init image or generate init image with Stable Diffusion 2.1"),
-        gr.Image(label="Init Image (Optional). Leave blank to generate image with SD 2.1", type="pil"),
+        gr.Slider(
+            minimum=0.0,
+            maximum=10.0,
+            step=0.01,
+            value=1.1,
+            label="Controlnet Guidance Scale",
+        ),
         gr.Slider(
             minimum=0.0,
             maximum=5.0,
@@ -152,14 +154,6 @@ generator = gr.Interface(
         gr.Slider(
             minimum=0.0, maximum=1.0, step=0.01, value=0.9, label="Strength"
         ),
-        gr.Slider(
-            minimum=0.0,
-            maximum=50.0,
-            step=0.25,
-            value=7.5,
-            label="Guidance Scale",
-        ),
-        gr.Dropdown(choices=list(SAMPLER_MAP.keys()), value="DPM++ Karras SDE", label="Sampler"),
         gr.Slider(
             minimum=-1,
             maximum=9999999999,
@@ -167,7 +161,8 @@ generator = gr.Interface(
             value=2313123,
             label="Seed",
             randomize=True,
-        )
+        ),
+        gr.Dropdown(choices=list(SAMPLER_MAP.keys()), value="DPM++ Karras SDE", label="Sampler"),
     ],
     outputs="image"
 )