mirror of
https://github.com/leejet/stable-diffusion.cpp.git
synced 2026-07-30 06:40:41 -05:00
merged with master and resolved conflicts; adapted to GGMLBlock API
This commit is contained in:
153
util.cpp
153
util.cpp
@@ -1,6 +1,7 @@
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#include "util.h"
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#include <stdarg.h>
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#include <algorithm>
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#include <cmath>
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#include <codecvt>
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#include <fstream>
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#include <locale>
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@@ -268,6 +269,9 @@ sd_image_t *preprocess_id_image(sd_image_t *img){
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}
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void pretty_progress(int step, int steps, float time) {
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if (step == 0) {
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return;
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}
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std::string progress = " |";
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int max_progress = 50;
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int32_t current = (int32_t)(step * 1.f * max_progress / steps);
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@@ -372,3 +376,152 @@ const char* sd_get_system_info() {
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const char* sd_type_name(enum sd_type_t type) {
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return ggml_type_name((ggml_type)type);
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}
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sd_image_f32_t sd_image_t_to_sd_image_f32_t(sd_image_t image) {
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sd_image_f32_t converted_image;
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converted_image.width = image.width;
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converted_image.height = image.height;
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converted_image.channel = image.channel;
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// Allocate memory for float data
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converted_image.data = (float*)malloc(image.width * image.height * image.channel * sizeof(float));
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for (int i = 0; i < image.width * image.height * image.channel; i++) {
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// Convert uint8_t to float
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converted_image.data[i] = (float)image.data[i];
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}
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return converted_image;
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}
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// Function to perform double linear interpolation
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float interpolate(float v1, float v2, float v3, float v4, float x_ratio, float y_ratio) {
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return v1 * (1 - x_ratio) * (1 - y_ratio) + v2 * x_ratio * (1 - y_ratio) + v3 * (1 - x_ratio) * y_ratio + v4 * x_ratio * y_ratio;
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}
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sd_image_f32_t resize_sd_image_f32_t(sd_image_f32_t image, int target_width, int target_height) {
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sd_image_f32_t resized_image;
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resized_image.width = target_width;
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resized_image.height = target_height;
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resized_image.channel = image.channel;
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// Allocate memory for resized float data
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resized_image.data = (float*)malloc(target_width * target_height * image.channel * sizeof(float));
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for (int y = 0; y < target_height; y++) {
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for (int x = 0; x < target_width; x++) {
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float original_x = (float)x * image.width / target_width;
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float original_y = (float)y * image.height / target_height;
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int x1 = (int)original_x;
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int y1 = (int)original_y;
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int x2 = x1 + 1;
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int y2 = y1 + 1;
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for (int k = 0; k < image.channel; k++) {
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float v1 = *(image.data + y1 * image.width * image.channel + x1 * image.channel + k);
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float v2 = *(image.data + y1 * image.width * image.channel + x2 * image.channel + k);
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float v3 = *(image.data + y2 * image.width * image.channel + x1 * image.channel + k);
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float v4 = *(image.data + y2 * image.width * image.channel + x2 * image.channel + k);
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float x_ratio = original_x - x1;
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float y_ratio = original_y - y1;
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float value = interpolate(v1, v2, v3, v4, x_ratio, y_ratio);
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*(resized_image.data + y * target_width * image.channel + x * image.channel + k) = value;
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}
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}
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}
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return resized_image;
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}
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void normalize_sd_image_f32_t(sd_image_f32_t image, float means[3], float stds[3]) {
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for (int y = 0; y < image.height; y++) {
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for (int x = 0; x < image.width; x++) {
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for (int k = 0; k < image.channel; k++) {
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int index = (y * image.width + x) * image.channel + k;
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image.data[index] = (image.data[index] - means[k]) / stds[k];
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}
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}
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}
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}
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// Constants for means and std
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float means[3] = {0.48145466, 0.4578275, 0.40821073};
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float stds[3] = {0.26862954, 0.26130258, 0.27577711};
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// Function to clip and preprocess sd_image_f32_t
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sd_image_f32_t clip_preprocess(sd_image_f32_t image, int size) {
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float scale = (float)size / fmin(image.width, image.height);
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// Interpolation
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int new_width = (int)(scale * image.width);
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int new_height = (int)(scale * image.height);
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float* resized_data = (float*)malloc(new_width * new_height * image.channel * sizeof(float));
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for (int y = 0; y < new_height; y++) {
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for (int x = 0; x < new_width; x++) {
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float original_x = (float)x * image.width / new_width;
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float original_y = (float)y * image.height / new_height;
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int x1 = (int)original_x;
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int y1 = (int)original_y;
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int x2 = x1 + 1;
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int y2 = y1 + 1;
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for (int k = 0; k < image.channel; k++) {
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float v1 = *(image.data + y1 * image.width * image.channel + x1 * image.channel + k);
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float v2 = *(image.data + y1 * image.width * image.channel + x2 * image.channel + k);
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float v3 = *(image.data + y2 * image.width * image.channel + x1 * image.channel + k);
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float v4 = *(image.data + y2 * image.width * image.channel + x2 * image.channel + k);
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float x_ratio = original_x - x1;
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float y_ratio = original_y - y1;
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float value = interpolate(v1, v2, v3, v4, x_ratio, y_ratio);
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*(resized_data + y * new_width * image.channel + x * image.channel + k) = value;
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}
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}
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}
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// Clip and preprocess
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int h = (new_height - size) / 2;
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int w = (new_width - size) / 2;
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sd_image_f32_t result;
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result.width = size;
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result.height = size;
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result.channel = image.channel;
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result.data = (float*)malloc(size * size * image.channel * sizeof(float));
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for (int k = 0; k < image.channel; k++) {
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for (int i = 0; i < size; i++) {
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for (int j = 0; j < size; j++) {
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*(result.data + i * size * image.channel + j * image.channel + k) =
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fmin(fmax(*(resized_data + (i + h) * new_width * image.channel + (j + w) * image.channel + k), 0.0f), 255.0f) / 255.0f;
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}
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}
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}
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// Free allocated memory
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free(resized_data);
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// Normalize
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for (int k = 0; k < image.channel; k++) {
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for (int i = 0; i < size; i++) {
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for (int j = 0; j < size; j++) {
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// *(result.data + i * size * image.channel + j * image.channel + k) = 0.5f;
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int offset = i * size * image.channel + j * image.channel + k;
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float value = *(result.data + offset);
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value = (value - means[k]) / stds[k];
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// value = 0.5f;
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*(result.data + offset) = value;
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}
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}
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}
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return result;
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}
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