diff --git a/clip.hpp b/clip.hpp
index 664da58c6..62b86584f 100644
--- a/clip.hpp
+++ b/clip.hpp
@@ -76,7 +76,7 @@ class CLIPTokenizer {
     const std::string UNK_TOKEN = "<|endoftext|>";
     const std::string BOS_TOKEN = "<|startoftext|>";
     const std::string EOS_TOKEN = "<|endoftext|>";
-    const std::string PAD_TOEKN = "<|endoftext|>";
+    const std::string PAD_TOKEN = "<|endoftext|>";
 
     const int UNK_TOKEN_ID = 49407;
     const int BOS_TOKEN_ID = 49406;
@@ -922,4 +922,4 @@ struct CLIPTextModelRunner : public GGMLRunner {
     }
 };
 
-#endif  // __CLIP_HPP__
\ No newline at end of file
+#endif  // __CLIP_HPP__
diff --git a/examples/cli/main.cpp b/examples/cli/main.cpp
index 1756a976b..8d86eba12 100644
--- a/examples/cli/main.cpp
+++ b/examples/cli/main.cpp
@@ -134,7 +134,7 @@ void print_params(SDParams params) {
     printf("    stacked_id_embeddings_path:   %s\n", params.stacked_id_embeddings_path.c_str());
     printf("    input_id_images_path:   %s\n", params.input_id_images_path.c_str());
     printf("    style ratio:       %.2f\n", params.style_ratio);
-    printf("    normzalize input image :  %s\n", params.normalize_input ? "true" : "false");
+    printf("    normalize input image :  %s\n", params.normalize_input ? "true" : "false");
     printf("    output_path:       %s\n", params.output_path.c_str());
     printf("    init_img:          %s\n", params.input_path.c_str());
     printf("    control_image:     %s\n", params.control_image_path.c_str());
diff --git a/stable-diffusion.cpp b/stable-diffusion.cpp
index 1bbe0d949..6ebe4e278 100644
--- a/stable-diffusion.cpp
+++ b/stable-diffusion.cpp
@@ -254,7 +254,7 @@ class StableDiffusionGGML {
 
         LOG_INFO("Weight type:                 %s", ggml_type_name(model_wtype));
         LOG_INFO("Conditioner weight type:     %s", ggml_type_name(conditioner_wtype));
-        LOG_INFO("Diffsuion model weight type: %s", ggml_type_name(diffusion_model_wtype));
+        LOG_INFO("Diffusion model weight type: %s", ggml_type_name(diffusion_model_wtype));
         LOG_INFO("VAE weight type:             %s", ggml_type_name(vae_wtype));
 
         LOG_DEBUG("ggml tensor size = %d bytes", (int)sizeof(ggml_tensor));