Update README.md

README.md

@@ -76,7 +76,7 @@ uni_emb = uni_emb.unsqueeze(1)
 print("Extracted UNI:", uni_emb.shape)
 
 # Get unconditional embedding for classifier-free guidance
-uncond = pipeline_controlnet.get_unconditional_embedding(uni_emb.shape[0])
+uncond = pipeline.get_unconditional_embedding(uni_emb.shape[0])
 # Generate new samples using the given mask
-samples = pipeline_controlnet(uni_embeds=uni_emb, controlnet_input=mask, negative_uni_embeds=uncond, guidance_scale=2.5, num_images_per_prompt=1).images
+samples = pipeline(uni_embeds=uni_emb, controlnet_input=mask, negative_uni_embeds=uncond, guidance_scale=2.5, num_images_per_prompt=1).images
 ```