chore: import upstream snapshot with attribution

2026-07-13 13:33:03 +08:00
commit 5b57521aa1
8226 changed files with 3425766 additions and 0 deletions
@@ -0,0 +1,74 @@
+#include <iostream>
+#include "diffusion/stable_diffusion.hpp"
+#define MNN_OPEN_TIME_TRACE
+#include <MNN/AutoTime.hpp>
+#include <MNN/expr/ExecutorScope.hpp>
+using namespace MNN::DIFFUSION;
+
+int main(int argc, const char* argv[]) {
+    if (argc < 9) {
+        MNN_PRINT("=====================================================================================================================\n");
+        MNN_PRINT("Usage: ./diffusion_demo <resource_path> <model_type> <memory_mode> <backend_type> <iteration_num> <random_seed> <output_image_name> <prompt_text>\n");
+        MNN_PRINT("=====================================================================================================================\n");
+        return 0;
+    }
+
+    auto resource_path = argv[1];
+    auto model_type = (DiffusionModelType)atoi(argv[2]);
+    auto memory_mode = atoi(argv[3]);
+    auto backend_type = (MNNForwardType)atoi(argv[4]);
+    auto iteration_num = atoi(argv[5]);
+    auto random_seed = atoi(argv[6]);
+    auto img_name = argv[7];
+
+    std::string input_text;
+    for (int i = 8; i < argc; ++i) {
+        input_text += argv[i];
+        if (i < argc - 1) {
+            input_text += " ";
+        }
+    }
+    
+    MNN_PRINT("Model resource path: %s\n", resource_path);
+    if(model_type == STABLE_DIFFUSION_1_5) {
+        MNN_PRINT("Model type is stable diffusion 1.5\n");
+    } else if (model_type == STABLE_DIFFUSION_TAIYI_CHINESE) {
+        MNN_PRINT("Model type is stable diffusion taiyi chinese version\n");
+    } else {
+        MNN_PRINT("Error: Model type %d not supported, please check\n", (int)model_type);
+    }
+
+    if(memory_mode == 1) {
+        MNN_PRINT("(Memory Enough) All Diffusion models will be initialized when application enter. with fast initialization\n");
+    } else {
+        MNN_PRINT("(Memory Lack) Each diffusion model will be initialized when using, freed after using. with slow initialization\n");
+    }
+    MNN_PRINT("Backend type: %d\n", (int)backend_type);
+    MNN_PRINT("Output image name: %s\n", img_name);
+    MNN_PRINT("Prompt text: %s\n", input_text.c_str());
+
+    
+    std::unique_ptr<Diffusion> diffusion(Diffusion::createDiffusion(resource_path, model_type, backend_type, memory_mode));
+
+    diffusion->load();
+    
+    // callback to show progress
+    auto progressDisplay = [](int progress) {
+        std::cout << "Progress: " << progress << "%" << std::endl;
+    };
+    diffusion->run(input_text, img_name, iteration_num, random_seed, progressDisplay);
+    
+    /*
+     when need multi text-generation-image:
+     if you choose memory lack mode, need diffusion load with each diffusion run.
+     if you choose memory enough mode,  just start another diffusion run, only need diffusion load in first time.
+     */
+    while(0) {
+        if(memory_mode != 1) {
+            diffusion->load();
+        }
+        
+        diffusion->run("a big horse", "demo_2.jpg", 20, 42, progressDisplay);
+    }
+    return 0;
+}