refactor: optimize the logic for name conversion and the processing of the LoRA model

conditioner.hpp

@@ -111,7 +111,7 @@ struct FrozenCLIPEmbedderWithCustomWords : public Conditioner {
     bool load_embedding(std::string embd_name, std::string embd_path, std::vector<int32_t>& bpe_tokens) {
         // the order matters
         ModelLoader model_loader;
-        if (!model_loader.init_from_file(embd_path)) {
+        if (!model_loader.init_from_file_and_convert_name(embd_path)) {
             LOG_ERROR("embedding '%s' failed", embd_name.c_str());
             return false;
         }

control.hpp

@@ -442,7 +442,7 @@ struct ControlNet : public GGMLRunner {
         std::set<std::string> ignore_tensors;
 
         ModelLoader model_loader;
-        if (!model_loader.init_from_file(file_path)) {
+        if (!model_loader.init_from_file_and_convert_name(file_path)) {
             LOG_ERROR("init control net model loader from file failed: '%s'", file_path.c_str());
             return false;
         }

esrgan.hpp

@@ -169,7 +169,7 @@ struct ESRGAN : public GGMLRunner {
         LOG_INFO("loading esrgan from '%s'", file_path.c_str());
 
         ModelLoader model_loader;
-        if (!model_loader.init_from_file(file_path)) {
+        if (!model_loader.init_from_file_and_convert_name(file_path)) {
             LOG_ERROR("init esrgan model loader from file failed: '%s'", file_path.c_str());
             return false;
         }

flux.hpp

@@ -1398,7 +1398,7 @@ namespace Flux {
             ggml_type model_data_type = GGML_TYPE_Q8_0;
 
             ModelLoader model_loader;
-            if (!model_loader.init_from_file(file_path, "model.diffusion_model.")) {
+            if (!model_loader.init_from_file_and_convert_name(file_path, "model.diffusion_model.")) {
                 LOG_ERROR("init model loader from file failed: '%s'", file_path.c_str());
                 return;
             }

ggml_extend.hpp

@@ -1568,8 +1568,10 @@ struct GGMLRunner {
     struct ggml_cgraph* get_compute_graph(get_graph_cb_t get_graph) {
         prepare_build_in_tensor_before();
         struct ggml_cgraph* gf = get_graph();
-        auto result            = ggml_graph_node(gf, -1);
-        ggml_set_name(result, final_result_name.c_str());
+        if (ggml_graph_n_nodes(gf) > 0) {
+            auto result = ggml_graph_node(gf, -1);
+            ggml_set_name(result, final_result_name.c_str());
+        }
         prepare_build_in_tensor_after(gf);
         return gf;
     }