chore: add .clang-format

.clang-format

@@ -0,0 +1,13 @@
+BasedOnStyle: Chromium
+UseTab: Never
+IndentWidth: 4
+TabWidth: 4
+AllowShortIfStatementsOnASingleLine: false
+IndentCaseLabels: false
+ColumnLimit: 0
+AccessModifierOffset: -4
+NamespaceIndentation: All
+FixNamespaceComments: false 
+AlignAfterOpenBracket: true
+AlignConsecutiveAssignments: true
+IndentCaseLabels: true

.gitignore

@@ -3,3 +3,4 @@ test/
 
 .cache/
 *.swp
+.vscode/

examples/main.cpp

@@ -88,8 +88,7 @@ const char* sample_method_str[] = {
 const char* schedule_str[] = {
     "default",
     "discrete",
-    "karras"
+    "karras"};
-};
 
 struct Option {
     int n_threads    = -1;
@@ -129,7 +128,7 @@ 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:            %lld\n", seed);
+        printf("    seed:            %ld\n", seed);
     }
 };
 
@@ -405,6 +404,7 @@ int main(int argc, const char* argv[]) {
         vae_decode_only = false;
 
         int c = 0;
+
         unsigned char* img_data = stbi_load(opt.init_img.c_str(), &opt.w, &opt.h, &c, 3);
         if (img_data == NULL) {
             fprintf(stderr, "load image from '%s' failed\n", opt.init_img.c_str());

rng.h

@@ -5,16 +5,16 @@
 #include <vector>
 
 class RNG {
-   public:
+public:
     virtual void manual_seed(uint64_t seed)      = 0;
     virtual std::vector<float> randn(uint32_t n) = 0;
 };
 
 class STDDefaultRNG : public RNG {
-   private:
+private:
     std::default_random_engine generator;
 
-   public:
+public:
     void manual_seed(uint64_t seed) {
         generator.seed((unsigned int)seed);
     }

rng_philox.h

@@ -9,11 +9,11 @@
 // RNG imitiating torch cuda randn on CPU.
 // Port from: https://github.com/AUTOMATIC1111/stable-diffusion-webui/blob/5ef669de080814067961f28357256e8fe27544f4/modules/rng_philox.py
 class PhiloxRNG : public RNG {
-   private:
+private:
     uint64_t seed;
     uint32_t offset;
 
-   private:
+private:
     std::vector<uint32_t> philox_m = {0xD2511F53, 0xCD9E8D57};
     std::vector<uint32_t> philox_w = {0x9E3779B9, 0xBB67AE85};
     float two_pow32_inv            = 2.3283064e-10f;
@@ -87,7 +87,7 @@ class PhiloxRNG : public RNG {
         return r1;
     }
 
-   public:
+public:
     PhiloxRNG(uint64_t seed = 0) {
         this->seed   = seed;
         this->offset = 0;

stable-diffusion.cpp

@@ -322,7 +322,7 @@ const int PAD_TOKEN_ID = 49407;
 // Ref: https://github.com/openai/CLIP/blob/main/clip/simple_tokenizer.py
 // TODO: implement bpe
 class CLIPTokenizer {
-   private:
+private:
     ModelType model_type = SD1;
     std::map<std::string, int32_t> encoder;
     std::regex pat;
@@ -345,7 +345,7 @@ class CLIPTokenizer {
         return text;
     }
 
-   public:
+public:
     CLIPTokenizer(ModelType model_type = SD1)
         : model_type(model_type){};
     std::string bpe(std::string token) {
@@ -2811,7 +2811,7 @@ struct CompVisVDenoiser : public Denoiser {
 /*=============================================== StableDiffusionGGML ================================================*/
 
 class StableDiffusionGGML {
-   public:
+public:
     ggml_context* clip_params_ctx = NULL;
     ggml_context* unet_params_ctx = NULL;
     ggml_context* vae_params_ctx  = NULL;

stable-diffusion.h

@@ -38,10 +38,10 @@ enum Schedule {
 class StableDiffusionGGML;
 
 class StableDiffusion {
-   private:
+private:
     std::shared_ptr<StableDiffusionGGML> sd;
 
-   public:
+public:
     StableDiffusion(int n_threads                = -1,
                     bool vae_decode_only         = false,
                     bool free_params_immediately = false,