Update app.py

app.py

@@ -97,6 +97,10 @@ def plex(qr_code_value, text, neg_prompt, modil, one, two, three):
     original.thumbnail((512, 512))
     cannyimage = load_image(original).resize((512,512))
     cannyimage = np.array(cannyimage)
+    pannyimage = load_image(original).resize((512,512))
+    pannyimage = np.array(pannyimage)
+    pannyimage = np.inverse(pannyimage)
+    pannyimage = Image.fromarray(pannyimage)
     low_threshold = 100
     high_threshold = 200
     cannyimage = cv2.Canny(cannyimage, low_threshold, high_threshold)
@@ -105,20 +109,14 @@ def plex(qr_code_value, text, neg_prompt, modil, one, two, three):
     cannyimage = Image.fromarray(cannyimage)
     images = [cannyimage]
     generator = torch.Generator(device="cpu").manual_seed(random.randint(1, 4836923))
-
-    image = pipe(
-        [prompt]*2,
-        images,
-        num_inference_steps=one,
-        generator=generator,
-        strength=two,
-        negative_prompt=[neg_prompt]*2,
-        controlnet_conditioning_scale=three,
-    )
+    imzge = pipe(prompt,original,num_inference_steps=one,generator=generator,strength=two,negative_prompt=neg_prompt,controlnet_conditioning_scale=three,).images[0]
+    apol.append(imzge)
+    image = pipe([prompt]*2,images,num_inference_steps=one,generator=generator,strength=two,negative_prompt=[neg_prompt]*2,controlnet_conditioning_scale=three,)
     for i, imge in enumerate(image["images"]):
         apol.append(imge)
     apol.append(original)
     apol.append(cannyimage)
+    apol.append(pannyimage)
     return apol
 
 iface = gr.Interface(fn=plex, inputs=[gr.Textbox(label="QR Code URL"),gr.Textbox(label="prompt"),gr.Textbox(label="neg prompt"),gr.Dropdown(choices=models, label="some sd models", value=models[0], type="value"), gr.Slider(label="num inference steps", minimum=1, step=1, maximum=5, value=5), gr.Slider(label="prompt strength", minimum=0.01, step=0.01, maximum=0.99, value=0.20), gr.Slider(label="controlnet scale", minimum=0.01, step=0.01, maximum=0.99, value=0.80)], outputs=gr.Gallery(label="out", columns=1))