upstream-archive/stable-diffusion.cpp
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chore: eliminate compilation warnings under MSVC (#1170)

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leejet
2026-01-04 22:26:57 +08:00
committed by GitHub
parent 2cef4badb8
commit b90b1ee9cf
30 changed files with 420 additions and 461 deletions
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32
util.cpp
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@@ -488,7 +488,7 @@ sd_image_f32_t sd_image_t_to_sd_image_f32_t(sd_image_t image) {
// Allocate memory for float data
converted_image.data = (float*)malloc(image.width * image.height * image.channel * sizeof(float));
for (int i = 0; i < image.width * image.height * image.channel; i++) {
for (uint32_t i = 0; i < image.width * image.height * image.channel; i++) {
// Convert uint8_t to float
converted_image.data[i] = (float)image.data[i];
}
@@ -520,7 +520,7 @@ sd_image_f32_t resize_sd_image_f32_t(sd_image_f32_t image, int target_width, int
uint32_t x2 = std::min(x1 + 1, image.width - 1);
uint32_t y2 = std::min(y1 + 1, image.height - 1);
for (int k = 0; k < image.channel; k++) {
for (uint32_t k = 0; k < image.channel; k++) {
float v1 = *(image.data + y1 * image.width * image.channel + x1 * image.channel + k);
float v2 = *(image.data + y1 * image.width * image.channel + x2 * image.channel + k);
float v3 = *(image.data + y2 * image.width * image.channel + x1 * image.channel + k);
@@ -540,9 +540,9 @@ sd_image_f32_t resize_sd_image_f32_t(sd_image_f32_t image, int target_width, int
}
void normalize_sd_image_f32_t(sd_image_f32_t image, float means[3], float stds[3]) {
for (int y = 0; y < image.height; y++) {
for (int x = 0; x < image.width; x++) {
for (int k = 0; k < image.channel; k++) {
for (uint32_t y = 0; y < image.height; y++) {
for (uint32_t x = 0; x < image.width; x++) {
for (uint32_t k = 0; k < image.channel; k++) {
int index = (y * image.width + x) * image.channel + k;
image.data[index] = (image.data[index] - means[k]) / stds[k];
}
@@ -551,8 +551,8 @@ void normalize_sd_image_f32_t(sd_image_f32_t image, float means[3], float stds[3
}
// Constants for means and std
float means[3] = {0.48145466, 0.4578275, 0.40821073};
float stds[3] = {0.26862954, 0.26130258, 0.27577711};
float means[3] = {0.48145466f, 0.4578275f, 0.40821073f};
float stds[3] = {0.26862954f, 0.26130258f, 0.27577711f};
// Function to clip and preprocess sd_image_f32_t
sd_image_f32_t clip_preprocess(sd_image_f32_t image, int target_width, int target_height) {
@@ -576,7 +576,7 @@ sd_image_f32_t clip_preprocess(sd_image_f32_t image, int target_width, int targe
uint32_t x2 = std::min(x1 + 1, image.width - 1);
uint32_t y2 = std::min(y1 + 1, image.height - 1);
for (int k = 0; k < image.channel; k++) {
for (uint32_t k = 0; k < image.channel; k++) {
float v1 = *(image.data + y1 * image.width * image.channel + x1 * image.channel + k);
float v2 = *(image.data + y1 * image.width * image.channel + x2 * image.channel + k);
float v3 = *(image.data + y2 * image.width * image.channel + x1 * image.channel + k);
@@ -602,11 +602,11 @@ sd_image_f32_t clip_preprocess(sd_image_f32_t image, int target_width, int targe
result.channel = image.channel;
result.data = (float*)malloc(target_height * target_width * image.channel * sizeof(float));
for (int k = 0; k < image.channel; k++) {
for (int i = 0; i < result.height; i++) {
for (int j = 0; j < result.width; j++) {
int src_y = std::min(i + h_offset, resized_height - 1);
int src_x = std::min(j + w_offset, resized_width - 1);
for (uint32_t k = 0; k < image.channel; k++) {
for (uint32_t i = 0; i < result.height; i++) {
for (uint32_t j = 0; j < result.width; j++) {
int src_y = std::min(static_cast<int>(i + h_offset), resized_height - 1);
int src_x = std::min(static_cast<int>(j + w_offset), resized_width - 1);
*(result.data + i * result.width * image.channel + j * image.channel + k) =
fmin(fmax(*(resized_data + src_y * resized_width * image.channel + src_x * image.channel + k), 0.0f), 255.0f) / 255.0f;
}
@@ -617,9 +617,9 @@ sd_image_f32_t clip_preprocess(sd_image_f32_t image, int target_width, int targe
free(resized_data);
// Normalize
for (int k = 0; k < image.channel; k++) {
for (int i = 0; i < result.height; i++) {
for (int j = 0; j < result.width; j++) {
for (uint32_t k = 0; k < image.channel; k++) {
for (uint32_t i = 0; i < result.height; i++) {
for (uint32_t j = 0; j < result.width; j++) {
// *(result.data + i * size * image.channel + j * image.channel + k) = 0.5f;
int offset = i * result.width * image.channel + j * image.channel + k;
float value = *(result.data + offset);