mirror of
https://github.com/leejet/stable-diffusion.cpp.git
synced 2025-12-13 05:48:56 +00:00
unify image loading processing
This commit is contained in:
parent
50f921119e
commit
33ff442c1d
@ -69,7 +69,8 @@ struct SDParams {
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std::string tensor_type_rules;
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std::string tensor_type_rules;
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std::string lora_model_dir;
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std::string lora_model_dir;
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std::string output_path = "output.png";
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std::string output_path = "output.png";
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std::string input_path;
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std::string init_image_path;
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std::string end_image_path;
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std::string mask_path;
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std::string mask_path;
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std::string control_image_path;
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std::string control_image_path;
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std::vector<std::string> ref_image_paths;
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std::vector<std::string> ref_image_paths;
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@ -143,9 +144,10 @@ void print_params(SDParams params) {
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printf(" style ratio: %.2f\n", params.style_ratio);
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printf(" style ratio: %.2f\n", params.style_ratio);
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printf(" normalize input image: %s\n", params.normalize_input ? "true" : "false");
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printf(" normalize input image: %s\n", params.normalize_input ? "true" : "false");
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printf(" output_path: %s\n", params.output_path.c_str());
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printf(" output_path: %s\n", params.output_path.c_str());
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printf(" init_img: %s\n", params.input_path.c_str());
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printf(" init_image_path: %s\n", params.init_image_path.c_str());
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printf(" mask_img: %s\n", params.mask_path.c_str());
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printf(" end_image_path: %s\n", params.end_image_path.c_str());
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printf(" control_image: %s\n", params.control_image_path.c_str());
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printf(" mask_image_path: %s\n", params.mask_path.c_str());
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printf(" control_image_path: %s\n", params.control_image_path.c_str());
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printf(" ref_images_paths:\n");
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printf(" ref_images_paths:\n");
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for (auto& path : params.ref_image_paths) {
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for (auto& path : params.ref_image_paths) {
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printf(" %s\n", path.c_str());
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printf(" %s\n", path.c_str());
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@ -153,11 +155,11 @@ void print_params(SDParams params) {
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printf(" offload_params_to_cpu: %s\n", params.offload_params_to_cpu ? "true" : "false");
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printf(" offload_params_to_cpu: %s\n", params.offload_params_to_cpu ? "true" : "false");
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printf(" clip_on_cpu: %s\n", params.clip_on_cpu ? "true" : "false");
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printf(" clip_on_cpu: %s\n", params.clip_on_cpu ? "true" : "false");
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printf(" control_net_cpu: %s\n", params.control_net_cpu ? "true" : "false");
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printf(" control_net_cpu: %s\n", params.control_net_cpu ? "true" : "false");
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printf(" vae decoder on cpu:%s\n", params.vae_on_cpu ? "true" : "false");
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printf(" vae_on_cpu: %s\n", params.vae_on_cpu ? "true" : "false");
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printf(" diffusion flash attention: %s\n", params.diffusion_flash_attn ? "true" : "false");
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printf(" diffusion flash attention: %s\n", params.diffusion_flash_attn ? "true" : "false");
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printf(" diffusion Conv2d direct: %s\n", params.diffusion_conv_direct ? "true" : "false");
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printf(" diffusion Conv2d direct: %s\n", params.diffusion_conv_direct ? "true" : "false");
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printf(" vae Conv2d direct:%s\n", params.vae_conv_direct ? "true" : "false");
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printf(" vae_conv_direct: %s\n", params.vae_conv_direct ? "true" : "false");
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printf(" strength(control): %.2f\n", params.control_strength);
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printf(" control_strength: %.2f\n", params.control_strength);
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printf(" prompt: %s\n", params.prompt.c_str());
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printf(" prompt: %s\n", params.prompt.c_str());
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printf(" negative_prompt: %s\n", params.negative_prompt.c_str());
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printf(" negative_prompt: %s\n", params.negative_prompt.c_str());
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printf(" clip_skip: %d\n", params.clip_skip);
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printf(" clip_skip: %d\n", params.clip_skip);
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@ -449,7 +451,8 @@ void parse_args(int argc, const char** argv, SDParams& params) {
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{"", "--embd-dir", "", ¶ms.embedding_dir},
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{"", "--embd-dir", "", ¶ms.embedding_dir},
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{"", "--stacked-id-embd-dir", "", ¶ms.stacked_id_embed_dir},
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{"", "--stacked-id-embd-dir", "", ¶ms.stacked_id_embed_dir},
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{"", "--lora-model-dir", "", ¶ms.lora_model_dir},
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{"", "--lora-model-dir", "", ¶ms.lora_model_dir},
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{"-i", "--init-img", "", ¶ms.input_path},
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{"-i", "--init-img", "", ¶ms.init_image_path},
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{"", "--end-img", "", ¶ms.end_image_path},
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{"", "--tensor-type-rules", "", ¶ms.tensor_type_rules},
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{"", "--tensor-type-rules", "", ¶ms.tensor_type_rules},
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{"", "--input-id-images-dir", "", ¶ms.input_id_images_path},
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{"", "--input-id-images-dir", "", ¶ms.input_id_images_path},
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{"", "--mask", "", ¶ms.mask_path},
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{"", "--mask", "", ¶ms.mask_path},
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@ -902,6 +905,94 @@ void sd_log_cb(enum sd_log_level_t level, const char* log, void* data) {
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fflush(out_stream);
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fflush(out_stream);
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}
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}
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uint8_t* load_image(const char* image_path, int& width, int& height, int expected_width = 0, int expected_height = 0, int expected_channel = 3) {
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int c = 0;
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uint8_t* image_buffer = (uint8_t*)stbi_load(image_path, &width, &height, &c, expected_channel);
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if (image_buffer == NULL) {
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fprintf(stderr, "load image from '%s' failed\n", image_path);
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return NULL;
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}
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if (c < expected_channel) {
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fprintf(stderr,
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"the number of channels for the input image must be >= %d,"
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"but got %d channels, image_path = %s\n",
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expected_channel,
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c,
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image_path);
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free(image_buffer);
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return NULL;
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}
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if (width <= 0) {
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fprintf(stderr, "error: the width of image must be greater than 0, image_path = %s\n", image_path);
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free(image_buffer);
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return NULL;
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}
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if (height <= 0) {
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fprintf(stderr, "error: the height of image must be greater than 0, image_path = %s\n", image_path);
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free(image_buffer);
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return NULL;
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}
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// Resize input image ...
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if ((expected_width > 0 && expected_height > 0) && (height != expected_height || width != expected_width)) {
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float dst_aspect = (float)expected_width / (float)expected_height;
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float src_aspect = (float)width / (float)height;
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int crop_x = 0, crop_y = 0;
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int crop_w = width, crop_h = height;
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if (src_aspect > dst_aspect) {
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crop_w = (int)(height * dst_aspect);
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crop_x = (width - crop_w) / 2;
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} else if (src_aspect < dst_aspect) {
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crop_h = (int)(width / dst_aspect);
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crop_y = (height - crop_h) / 2;
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}
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if (crop_x != 0 || crop_y != 0) {
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printf("crop input image from %dx%d to %dx%d, image_path = %s\n", width, height, crop_w, crop_h, image_path);
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uint8_t* cropped_image_buffer = (uint8_t*)malloc(crop_w * crop_h * expected_channel);
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if (cropped_image_buffer == NULL) {
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fprintf(stderr, "error: allocate memory for crop\n");
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free(image_buffer);
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return NULL;
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}
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for (int row = 0; row < crop_h; row++) {
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uint8_t* src = image_buffer + ((crop_y + row) * width + crop_x) * expected_channel;
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uint8_t* dst = cropped_image_buffer + (row * crop_w) * expected_channel;
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memcpy(dst, src, crop_w * expected_channel);
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}
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width = crop_w;
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height = crop_h;
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free(image_buffer);
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image_buffer = cropped_image_buffer;
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}
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printf("resize input image from %dx%d to %dx%d\n", width, height, expected_width, expected_height);
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int resized_height = expected_height;
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int resized_width = expected_width;
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uint8_t* resized_image_buffer = (uint8_t*)malloc(resized_height * resized_width * expected_channel);
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if (resized_image_buffer == NULL) {
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fprintf(stderr, "error: allocate memory for resize input image\n");
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free(image_buffer);
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return NULL;
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}
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stbir_resize(image_buffer, width, height, 0,
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resized_image_buffer, resized_width, resized_height, 0, STBIR_TYPE_UINT8,
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expected_channel, STBIR_ALPHA_CHANNEL_NONE, 0,
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STBIR_EDGE_CLAMP, STBIR_EDGE_CLAMP,
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STBIR_FILTER_BOX, STBIR_FILTER_BOX,
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STBIR_COLORSPACE_SRGB, nullptr);
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// Save resized result
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free(image_buffer);
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image_buffer = resized_image_buffer;
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}
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return image_buffer;
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}
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int main(int argc, const char* argv[]) {
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int main(int argc, const char* argv[]) {
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SDParams params;
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SDParams params;
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parse_args(argc, argv, params);
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parse_args(argc, argv, params);
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@ -936,119 +1027,100 @@ int main(int argc, const char* argv[]) {
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}
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}
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bool vae_decode_only = true;
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bool vae_decode_only = true;
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uint8_t* input_image_buffer = NULL;
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sd_image_t init_image = {(uint32_t)params.width, (uint32_t)params.height, 3, NULL};
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uint8_t* control_image_buffer = NULL;
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sd_image_t end_image = {(uint32_t)params.width, (uint32_t)params.height, 3, NULL};
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uint8_t* mask_image_buffer = NULL;
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sd_image_t control_image = {(uint32_t)params.width, (uint32_t)params.height, 3, NULL};
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sd_image_t mask_image = {(uint32_t)params.width, (uint32_t)params.height, 1, NULL};
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std::vector<sd_image_t> ref_images;
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std::vector<sd_image_t> ref_images;
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if (params.input_path.size() > 0) {
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auto release_all_resources = [&]() {
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free(init_image.data);
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free(end_image.data);
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free(control_image.data);
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free(mask_image.data);
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for (auto ref_image : ref_images) {
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free(ref_image.data);
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ref_image.data = NULL;
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}
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ref_images.clear();
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};
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if (params.init_image_path.size() > 0) {
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vae_decode_only = false;
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vae_decode_only = false;
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int width = 0;
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int height = 0;
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init_image.data = load_image(params.init_image_path.c_str(), width, height, params.width, params.height);
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if (init_image.data == NULL) {
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fprintf(stderr, "load image from '%s' failed\n", params.init_image_path.c_str());
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release_all_resources();
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return 1;
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}
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}
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if (params.end_image_path.size() > 0) {
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vae_decode_only = false;
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int width = 0;
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int height = 0;
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end_image.data = load_image(params.end_image_path.c_str(), width, height, params.width, params.height);
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if (end_image.data == NULL) {
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fprintf(stderr, "load image from '%s' failed\n", params.end_image_path.c_str());
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release_all_resources();
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return 1;
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}
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}
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if (params.mask_path.size() > 0) {
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int c = 0;
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int c = 0;
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int width = 0;
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int width = 0;
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int height = 0;
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int height = 0;
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input_image_buffer = stbi_load(params.input_path.c_str(), &width, &height, &c, 3);
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mask_image.data = load_image(params.mask_path.c_str(), width, height, params.width, params.height, 1);
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if (input_image_buffer == NULL) {
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if (mask_image.data == NULL) {
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fprintf(stderr, "load image from '%s' failed\n", params.input_path.c_str());
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fprintf(stderr, "load image from '%s' failed\n", params.mask_path.c_str());
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release_all_resources();
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return 1;
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return 1;
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}
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}
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if (c < 3) {
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} else {
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fprintf(stderr, "the number of channels for the input image must be >= 3, but got %d channels\n", c);
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mask_image.data = (uint8_t*)malloc(params.width * params.height);
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free(input_image_buffer);
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memset(mask_image.data, 255, params.width * params.height);
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if (mask_image.data == NULL) {
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fprintf(stderr, "malloc mask image failed\n");
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release_all_resources();
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return 1;
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return 1;
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}
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}
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if (width <= 0) {
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}
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fprintf(stderr, "error: the width of image must be greater than 0\n");
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free(input_image_buffer);
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if (params.control_net_path.size() > 0 && params.control_image_path.size() > 0) {
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int width = 0;
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int height = 0;
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control_image.data = load_image(params.control_image_path.c_str(), width, height, params.width, params.height);
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if (control_image.data == NULL) {
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fprintf(stderr, "load image from '%s' failed\n", params.control_image_path.c_str());
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release_all_resources();
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return 1;
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return 1;
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}
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}
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if (height <= 0) {
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if (params.canny_preprocess) { // apply preprocessor
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fprintf(stderr, "error: the height of image must be greater than 0\n");
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control_image.data = preprocess_canny(control_image.data,
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free(input_image_buffer);
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control_image.width,
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return 1;
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control_image.height,
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0.08f,
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0.08f,
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0.8f,
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1.0f,
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false);
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}
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}
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}
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// Resize input image ...
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if (params.ref_image_paths.size() > 0) {
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if (params.height != height || params.width != width) {
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float dst_aspect = (float)params.width / (float)params.height;
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float src_aspect = (float)width / (float)height;
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int crop_x = 0, crop_y = 0;
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int crop_w = width, crop_h = height;
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if (src_aspect > dst_aspect) {
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crop_w = (int)(height * dst_aspect);
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crop_x = (width - crop_w) / 2;
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} else if (src_aspect < dst_aspect) {
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crop_h = (int)(width / dst_aspect);
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crop_y = (height - crop_h) / 2;
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}
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if (crop_x != 0 || crop_y != 0) {
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printf("crop input image from %dx%d to %dx%d\n", width, height, crop_w, crop_h);
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uint8_t* cropped_image_buffer = (uint8_t*)malloc(crop_w * crop_h * 3);
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if (cropped_image_buffer == NULL) {
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fprintf(stderr, "error: allocate memory for crop\n");
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free(input_image_buffer);
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return 1;
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}
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for (int row = 0; row < crop_h; row++) {
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uint8_t* src = input_image_buffer + ((crop_y + row) * width + crop_x) * 3;
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uint8_t* dst = cropped_image_buffer + (row * crop_w) * 3;
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memcpy(dst, src, crop_w * 3);
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}
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width = crop_w;
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height = crop_h;
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free(input_image_buffer);
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input_image_buffer = cropped_image_buffer;
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}
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printf("resize input image from %dx%d to %dx%d\n", width, height, params.width, params.height);
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int resized_height = params.height;
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int resized_width = params.width;
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uint8_t* resized_image_buffer = (uint8_t*)malloc(resized_height * resized_width * 3);
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if (resized_image_buffer == NULL) {
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fprintf(stderr, "error: allocate memory for resize input image\n");
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free(input_image_buffer);
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return 1;
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}
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stbir_resize(input_image_buffer, width, height, 0,
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resized_image_buffer, resized_width, resized_height, 0, STBIR_TYPE_UINT8,
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3 /*RGB channel*/, STBIR_ALPHA_CHANNEL_NONE, 0,
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STBIR_EDGE_CLAMP, STBIR_EDGE_CLAMP,
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STBIR_FILTER_BOX, STBIR_FILTER_BOX,
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STBIR_COLORSPACE_SRGB, nullptr);
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// Save resized result
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free(input_image_buffer);
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||||||
input_image_buffer = resized_image_buffer;
|
|
||||||
}
|
|
||||||
} else if (params.ref_image_paths.size() > 0) {
|
|
||||||
vae_decode_only = false;
|
vae_decode_only = false;
|
||||||
for (auto& path : params.ref_image_paths) {
|
for (auto& path : params.ref_image_paths) {
|
||||||
int c = 0;
|
|
||||||
int width = 0;
|
int width = 0;
|
||||||
int height = 0;
|
int height = 0;
|
||||||
uint8_t* image_buffer = stbi_load(path.c_str(), &width, &height, &c, 3);
|
uint8_t* image_buffer = load_image(path.c_str(), width, height);
|
||||||
if (image_buffer == NULL) {
|
if (image_buffer == NULL) {
|
||||||
fprintf(stderr, "load image from '%s' failed\n", path.c_str());
|
fprintf(stderr, "load image from '%s' failed\n", path.c_str());
|
||||||
return 1;
|
release_all_resources();
|
||||||
}
|
|
||||||
if (c < 3) {
|
|
||||||
fprintf(stderr, "the number of channels for the input image must be >= 3, but got %d channels\n", c);
|
|
||||||
free(image_buffer);
|
|
||||||
return 1;
|
|
||||||
}
|
|
||||||
if (width <= 0) {
|
|
||||||
fprintf(stderr, "error: the width of image must be greater than 0\n");
|
|
||||||
free(image_buffer);
|
|
||||||
return 1;
|
|
||||||
}
|
|
||||||
if (height <= 0) {
|
|
||||||
fprintf(stderr, "error: the height of image must be greater than 0\n");
|
|
||||||
free(image_buffer);
|
|
||||||
return 1;
|
return 1;
|
||||||
}
|
}
|
||||||
ref_images.push_back({(uint32_t)width,
|
ref_images.push_back({(uint32_t)width,
|
||||||
@ -1098,50 +1170,10 @@ int main(int argc, const char* argv[]) {
|
|||||||
|
|
||||||
if (sd_ctx == NULL) {
|
if (sd_ctx == NULL) {
|
||||||
printf("new_sd_ctx_t failed\n");
|
printf("new_sd_ctx_t failed\n");
|
||||||
|
release_all_resources();
|
||||||
return 1;
|
return 1;
|
||||||
}
|
}
|
||||||
|
|
||||||
sd_image_t input_image = {(uint32_t)params.width,
|
|
||||||
(uint32_t)params.height,
|
|
||||||
3,
|
|
||||||
input_image_buffer};
|
|
||||||
|
|
||||||
sd_image_t* control_image = NULL;
|
|
||||||
if (params.control_net_path.size() > 0 && params.control_image_path.size() > 0) {
|
|
||||||
int c = 0;
|
|
||||||
control_image_buffer = stbi_load(params.control_image_path.c_str(), ¶ms.width, ¶ms.height, &c, 3);
|
|
||||||
if (control_image_buffer == NULL) {
|
|
||||||
fprintf(stderr, "load image from '%s' failed\n", params.control_image_path.c_str());
|
|
||||||
return 1;
|
|
||||||
}
|
|
||||||
control_image = new sd_image_t{(uint32_t)params.width,
|
|
||||||
(uint32_t)params.height,
|
|
||||||
3,
|
|
||||||
control_image_buffer};
|
|
||||||
if (params.canny_preprocess) { // apply preprocessor
|
|
||||||
control_image->data = preprocess_canny(control_image->data,
|
|
||||||
control_image->width,
|
|
||||||
control_image->height,
|
|
||||||
0.08f,
|
|
||||||
0.08f,
|
|
||||||
0.8f,
|
|
||||||
1.0f,
|
|
||||||
false);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
std::vector<uint8_t> default_mask_image_vec(params.width * params.height, 255);
|
|
||||||
if (params.mask_path != "") {
|
|
||||||
int c = 0;
|
|
||||||
mask_image_buffer = stbi_load(params.mask_path.c_str(), ¶ms.width, ¶ms.height, &c, 1);
|
|
||||||
} else {
|
|
||||||
mask_image_buffer = default_mask_image_vec.data();
|
|
||||||
}
|
|
||||||
sd_image_t mask_image = {(uint32_t)params.width,
|
|
||||||
(uint32_t)params.height,
|
|
||||||
1,
|
|
||||||
mask_image_buffer};
|
|
||||||
|
|
||||||
sd_image_t* results;
|
sd_image_t* results;
|
||||||
int num_results = 1;
|
int num_results = 1;
|
||||||
if (params.mode == IMG_GEN) {
|
if (params.mode == IMG_GEN) {
|
||||||
@ -1149,7 +1181,7 @@ int main(int argc, const char* argv[]) {
|
|||||||
params.prompt.c_str(),
|
params.prompt.c_str(),
|
||||||
params.negative_prompt.c_str(),
|
params.negative_prompt.c_str(),
|
||||||
params.clip_skip,
|
params.clip_skip,
|
||||||
input_image,
|
init_image,
|
||||||
ref_images.data(),
|
ref_images.data(),
|
||||||
(int)ref_images.size(),
|
(int)ref_images.size(),
|
||||||
mask_image,
|
mask_image,
|
||||||
@ -1173,7 +1205,8 @@ int main(int argc, const char* argv[]) {
|
|||||||
params.prompt.c_str(),
|
params.prompt.c_str(),
|
||||||
params.negative_prompt.c_str(),
|
params.negative_prompt.c_str(),
|
||||||
params.clip_skip,
|
params.clip_skip,
|
||||||
input_image,
|
init_image,
|
||||||
|
end_image,
|
||||||
params.width,
|
params.width,
|
||||||
params.height,
|
params.height,
|
||||||
params.sample_params,
|
params.sample_params,
|
||||||
@ -1275,8 +1308,8 @@ int main(int argc, const char* argv[]) {
|
|||||||
}
|
}
|
||||||
free(results);
|
free(results);
|
||||||
free_sd_ctx(sd_ctx);
|
free_sd_ctx(sd_ctx);
|
||||||
free(control_image_buffer);
|
|
||||||
free(input_image_buffer);
|
release_all_resources();
|
||||||
|
|
||||||
return 0;
|
return 0;
|
||||||
}
|
}
|
||||||
|
|||||||
@ -1780,7 +1780,7 @@ sd_image_t* generate_image_internal(sd_ctx_t* sd_ctx,
|
|||||||
const std::vector<float>& sigmas,
|
const std::vector<float>& sigmas,
|
||||||
int64_t seed,
|
int64_t seed,
|
||||||
int batch_count,
|
int batch_count,
|
||||||
const sd_image_t* control_cond,
|
sd_image_t control_image,
|
||||||
float control_strength,
|
float control_strength,
|
||||||
float style_ratio,
|
float style_ratio,
|
||||||
bool normalize_input,
|
bool normalize_input,
|
||||||
@ -1947,9 +1947,9 @@ sd_image_t* generate_image_internal(sd_ctx_t* sd_ctx,
|
|||||||
|
|
||||||
// Control net hint
|
// Control net hint
|
||||||
struct ggml_tensor* image_hint = NULL;
|
struct ggml_tensor* image_hint = NULL;
|
||||||
if (control_cond != NULL) {
|
if (control_image.data != NULL) {
|
||||||
image_hint = ggml_new_tensor_4d(work_ctx, GGML_TYPE_F32, width, height, 3, 1);
|
image_hint = ggml_new_tensor_4d(work_ctx, GGML_TYPE_F32, width, height, 3, 1);
|
||||||
sd_image_to_tensor(control_cond->data, image_hint);
|
sd_image_to_tensor(control_image.data, image_hint);
|
||||||
}
|
}
|
||||||
|
|
||||||
// Sample
|
// Sample
|
||||||
@ -2342,7 +2342,7 @@ sd_image_t* generate_image(sd_ctx_t* sd_ctx, const sd_img_gen_params_t* sd_img_g
|
|||||||
sigmas,
|
sigmas,
|
||||||
seed,
|
seed,
|
||||||
sd_img_gen_params->batch_count,
|
sd_img_gen_params->batch_count,
|
||||||
sd_img_gen_params->control_cond,
|
sd_img_gen_params->control_image,
|
||||||
sd_img_gen_params->control_strength,
|
sd_img_gen_params->control_strength,
|
||||||
sd_img_gen_params->style_strength,
|
sd_img_gen_params->style_strength,
|
||||||
sd_img_gen_params->normalize_input,
|
sd_img_gen_params->normalize_input,
|
||||||
|
|||||||
@ -188,7 +188,7 @@ typedef struct {
|
|||||||
float strength;
|
float strength;
|
||||||
int64_t seed;
|
int64_t seed;
|
||||||
int batch_count;
|
int batch_count;
|
||||||
const sd_image_t* control_cond;
|
sd_image_t control_image;
|
||||||
float control_strength;
|
float control_strength;
|
||||||
float style_strength;
|
float style_strength;
|
||||||
bool normalize_input;
|
bool normalize_input;
|
||||||
@ -200,6 +200,7 @@ typedef struct {
|
|||||||
const char* negative_prompt;
|
const char* negative_prompt;
|
||||||
int clip_skip;
|
int clip_skip;
|
||||||
sd_image_t init_image;
|
sd_image_t init_image;
|
||||||
|
sd_image_t end_image;
|
||||||
int width;
|
int width;
|
||||||
int height;
|
int height;
|
||||||
sd_sample_params_t sample_params;
|
sd_sample_params_t sample_params;
|
||||||
|
|||||||
Loading…
x
Reference in New Issue
Block a user