Update app.py

app.py

@@ -54,7 +54,7 @@ def process_canny(input_image, prompt, a_prompt, n_prompt, num_samples, image_re
         un_cond = {"c_concat": [control], "c_crossattn": [canny_model.get_learned_conditioning([n_prompt] * num_samples)]}
         shape = (4, H // 8, W // 8)
 
-        samples, intermediates = ddim_sampler_canny.sample(ddim_steps, num_samples,
+        samples, intermediates = ddim_sampler.sample(ddim_steps, num_samples,
                                                      shape, cond, verbose=False, eta=eta,
                                                      unconditional_guidance_scale=scale,
                                                      unconditional_conditioning=un_cond)