fix: do not check weights of open clip last layer

examples/main.cpp

@@ -87,7 +87,7 @@ struct Option {
     int sample_steps = 20;
     float strength = 0.75f;
     RNGType rng_type = STD_DEFAULT_RNG;
-    int seed = 42;
+    int64_t seed = 42;
     bool verbose = false;
 
     void print() {
@@ -106,7 +106,7 @@ struct Option {
         printf("    sample_steps:    %d\n", sample_steps);
         printf("    strength:        %.2f\n", strength);
         printf("    rng:             %s\n", rng_type_to_str[rng_type]);
-        printf("    seed:            %d\n", seed);
+        printf("    seed:            %ld\n", seed);
     }
 };
 
@@ -233,7 +233,7 @@ void parse_args(int argc, const char* argv[], Option* opt) {
                 invalid_arg = true;
                 break;
             }
-            opt->seed = std::stoi(argv[i]);
+            opt->seed = std::stoll(argv[i]);
         } else if (arg == "-h" || arg == "--help") {
             print_usage(argc, argv);
             exit(0);

rng.h

@@ -6,7 +6,7 @@
 
 class RNG {
    public:
-    virtual void manual_seed(uint32_t seed) = 0;
+    virtual void manual_seed(uint64_t seed) = 0;
     virtual std::vector<float> randn(uint32_t n) = 0;
 };
 
@@ -15,7 +15,7 @@ class STDDefaultRNG : public RNG {
     std::default_random_engine generator;
 
    public:
-    void manual_seed(uint32_t seed) {
+    void manual_seed(uint64_t seed) {
         generator.seed(seed);
     }
 

rng_philox.h

@@ -93,7 +93,7 @@ class PhiloxRNG : public RNG {
         this->offset = 0;
     }
 
-    void manual_seed(uint32_t seed) {
+    void manual_seed(uint64_t seed) {
         this->seed = seed;
         this->offset = 0;
     }

stable-diffusion.cpp

@@ -3029,6 +3029,9 @@ class StableDiffusionGGML {
             }
             bool some_tensor_not_init = false;
             for (auto pair : tensors) {
+                if (pair.first.find("cond_stage_model.transformer.text_model.encoder.layers.23") != std::string::npos) {
+                    continue;
+                }
                 if (tensor_names_in_file.find(pair.first) == tensor_names_in_file.end()) {
                     LOG_ERROR("tensor '%s' not in model file", pair.first.c_str());
                     some_tensor_not_init = true;
@@ -3823,7 +3826,7 @@ std::vector<uint8_t> StableDiffusion::txt2img(const std::string& prompt,
                                               int height,
                                               SampleMethod sample_method,
                                               int sample_steps,
-                                              int seed) {
+                                              int64_t seed) {
     std::vector<uint8_t> result;
     struct ggml_init_params params;
     params.mem_size = static_cast<size_t>(10 * 1024) * 1024;  // 10M
@@ -3911,7 +3914,7 @@ std::vector<uint8_t> StableDiffusion::img2img(const std::vector<uint8_t>& init_i
                                               SampleMethod sample_method,
                                               int sample_steps,
                                               float strength,
-                                              int seed) {
+                                              int64_t seed) {
     std::vector<uint8_t> result;
     if (init_img_vec.size() != width * height * 3) {
         return result;

stable-diffusion.h

@@ -40,7 +40,7 @@ class StableDiffusion {
         int height,
         SampleMethod sample_method,
         int sample_steps,
-        int seed);
+        int64_t seed);
     std::vector<uint8_t> img2img(
         const std::vector<uint8_t>& init_img,
         const std::string& prompt,
@@ -51,7 +51,7 @@ class StableDiffusion {
         SampleMethod sample_method,
         int sample_steps,
         float strength,
-        int seed);
+        int64_t seed);
 };
 
 void set_sd_log_level(SDLogLevel level);