diff --git a/clip.hpp b/clip.hpp
index 318cfb5a..830a9e96 100644
--- a/clip.hpp
+++ b/clip.hpp
@@ -303,9 +303,14 @@ public:
                 continue;
             std::u32string ts = decoder[t];
             // printf("%d, %s \n", t,  utf32_to_utf8(ts).c_str());
-            text += " "+utf32_to_utf8(ts).replace(ts.length()-4, ts.length()-1, "") ;
+            std::string s = utf32_to_utf8(ts); 
+            if(s.length() >= 4 && ends_with(s, "</w>")){
+                text += " "+s.replace(s.length()-4, s.length()-1, "") ;
+            }else{
+                text += " "+s;
+            }
         }
-        std::vector<unsigned char> bytes;
+        // std::vector<unsigned char> bytes;
         // for (auto c : text){
         //     bytes.push_back(byte_decoder[c]);
         // }
diff --git a/pmid.hpp b/pmid.hpp
index 58821462..030d2b1b 100644
--- a/pmid.hpp
+++ b/pmid.hpp
@@ -547,7 +547,7 @@ struct PhotoMakerIDEncoder : public GGMLModule {
 #define PM_LORA_GRAPH_SIZE 10240
 
 struct PhotoMakerLoraModel : public GGMLModule {
-    float multiplier = 1.0f;
+    float multiplier = 1.f;
     std::map<std::string, struct ggml_tensor*> lora_tensors;
     std::vector<std::string> lora_tensors_to_be_ignored;
     std::string file_path;   
diff --git a/stable-diffusion.cpp b/stable-diffusion.cpp
index 4da9fd85..538d6b0d 100644
--- a/stable-diffusion.cpp
+++ b/stable-diffusion.cpp
@@ -493,14 +493,12 @@ public:
 
         auto image_tokens = cond_stage_model.convert_token_to_id(trigger_word);                                    
         GGML_ASSERT(image_tokens.size() == 1);
-
         auto tokens_and_weights  = cond_stage_model.tokenize(prompt, false);
-        std::vector<int>& tokens    = tokens_and_weights.first;    
+        std::vector<int> &tokens    = tokens_and_weights.first;
         auto it = std::find(tokens.begin(), tokens.end(), image_tokens[0]);
         GGML_ASSERT(it != tokens.end()); // prompt must have trigger word
         tokens.erase(it);
         return cond_stage_model.decode(tokens);
-                        
     }
 
     std::tuple<ggml_tensor*, ggml_tensor*, std::vector<bool>>
@@ -1583,7 +1581,7 @@ sd_image_t* txt2img(sd_ctx_t* sd_ctx,
 
 
 
-    t0                            = ggml_time_ms();    
+    t0                            = ggml_time_ms();
     auto cond_pair                = sd_ctx->sd->get_learned_condition(work_ctx, prompt, clip_skip, width, height);
     ggml_tensor* c                = cond_pair.first;
     ggml_tensor* c_vector         = cond_pair.second;  // [adm_in_channels, ]