feat: simple openai image generation api compatiple server (#1037)

This commit is contained in:
leejet
2025-12-13 13:53:21 +08:00
committed by GitHub
parent 11ab095230
commit 2aecdd57ca
35 changed files with 15915 additions and 1705 deletions

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include_directories(${CMAKE_CURRENT_SOURCE_DIR})
add_subdirectory(cli)
add_subdirectory(cli)
add_subdirectory(server)

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set(TARGET sd)
set(TARGET sd-cli)
add_executable(${TARGET} main.cpp)
install(TARGETS ${TARGET} RUNTIME)

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# Run
```
usage: ./bin/sd [options]
usage: ./bin/sd-cli [options]
CLI Options:
-o, --output <string> path to write result image to (default: ./output.png)

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examples/common/common.hpp Normal file

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set(TARGET sd-server)
add_executable(${TARGET} main.cpp)
install(TARGETS ${TARGET} RUNTIME)
target_link_libraries(${TARGET} PRIVATE stable-diffusion ${CMAKE_THREAD_LIBS_INIT})
target_compile_features(${TARGET} PUBLIC c_std_11 cxx_std_17)

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examples/server/README.md Normal file
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# Run
```
usage: ./bin/sd-server [options]
Svr Options:
-l, --listen-ip <string> server listen ip (default: 127.0.0.1)
--listen-port <int> server listen port (default: 1234)
-v, --verbose print extra info
--color colors the logging tags according to level
-h, --help show this help message and exit
Context Options:
-m, --model <string> path to full model
--clip_l <string> path to the clip-l text encoder
--clip_g <string> path to the clip-g text encoder
--clip_vision <string> path to the clip-vision encoder
--t5xxl <string> path to the t5xxl text encoder
--llm <string> path to the llm text encoder. For example: (qwenvl2.5 for qwen-image, mistral-small3.2 for flux2, ...)
--llm_vision <string> path to the llm vit
--qwen2vl <string> alias of --llm. Deprecated.
--qwen2vl_vision <string> alias of --llm_vision. Deprecated.
--diffusion-model <string> path to the standalone diffusion model
--high-noise-diffusion-model <string> path to the standalone high noise diffusion model
--vae <string> path to standalone vae model
--taesd <string> path to taesd. Using Tiny AutoEncoder for fast decoding (low quality)
--control-net <string> path to control net model
--embd-dir <string> embeddings directory
--lora-model-dir <string> lora model directory
--tensor-type-rules <string> weight type per tensor pattern (example: "^vae\.=f16,model\.=q8_0")
--photo-maker <string> path to PHOTOMAKER model
--upscale-model <string> path to esrgan model.
-t, --threads <int> number of threads to use during computation (default: -1). If threads <= 0, then threads will be set to the number of
CPU physical cores
--chroma-t5-mask-pad <int> t5 mask pad size of chroma
--vae-tile-overlap <float> tile overlap for vae tiling, in fraction of tile size (default: 0.5)
--flow-shift <float> shift value for Flow models like SD3.x or WAN (default: auto)
--vae-tiling process vae in tiles to reduce memory usage
--force-sdxl-vae-conv-scale force use of conv scale on sdxl vae
--offload-to-cpu place the weights in RAM to save VRAM, and automatically load them into VRAM when needed
--control-net-cpu keep controlnet in cpu (for low vram)
--clip-on-cpu keep clip in cpu (for low vram)
--vae-on-cpu keep vae in cpu (for low vram)
--diffusion-fa use flash attention in the diffusion model
--diffusion-conv-direct use ggml_conv2d_direct in the diffusion model
--vae-conv-direct use ggml_conv2d_direct in the vae model
--chroma-disable-dit-mask disable dit mask for chroma
--chroma-enable-t5-mask enable t5 mask for chroma
--type weight type (examples: f32, f16, q4_0, q4_1, q5_0, q5_1, q8_0, q2_K, q3_K, q4_K). If not specified, the default is the
type of the weight file
--rng RNG, one of [std_default, cuda, cpu], default: cuda(sd-webui), cpu(comfyui)
--sampler-rng sampler RNG, one of [std_default, cuda, cpu]. If not specified, use --rng
--prediction prediction type override, one of [eps, v, edm_v, sd3_flow, flux_flow, flux2_flow]
--lora-apply-mode the way to apply LoRA, one of [auto, immediately, at_runtime], default is auto. In auto mode, if the model weights
contain any quantized parameters, the at_runtime mode will be used; otherwise,
immediately will be used.The immediately mode may have precision and
compatibility issues with quantized parameters, but it usually offers faster inference
speed and, in some cases, lower memory usage. The at_runtime mode, on the
other hand, is exactly the opposite.
--vae-tile-size tile size for vae tiling, format [X]x[Y] (default: 32x32)
--vae-relative-tile-size relative tile size for vae tiling, format [X]x[Y], in fraction of image size if < 1, in number of tiles per dim if >=1
(overrides --vae-tile-size)
```

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examples/server/main.cpp Normal file
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// main.cpp
#include <chrono>
#include <filesystem>
#include <fstream>
#include <iomanip>
#include <iostream>
#include <mutex>
#include <sstream>
#include <vector>
#include "httplib.h"
#include "stable-diffusion.h"
#include "common/common.hpp"
namespace fs = std::filesystem;
// ----------------------- helpers -----------------------
static const std::string base64_chars =
"ABCDEFGHIJKLMNOPQRSTUVWXYZ"
"abcdefghijklmnopqrstuvwxyz"
"0123456789+/";
std::string base64_encode(const std::vector<uint8_t>& bytes) {
std::string ret;
int val = 0, valb = -6;
for (uint8_t c : bytes) {
val = (val << 8) + c;
valb += 8;
while (valb >= 0) {
ret.push_back(base64_chars[(val >> valb) & 0x3F]);
valb -= 6;
}
}
if (valb > -6)
ret.push_back(base64_chars[((val << 8) >> (valb + 8)) & 0x3F]);
while (ret.size() % 4)
ret.push_back('=');
return ret;
}
inline bool is_base64(unsigned char c) {
return (isalnum(c) || (c == '+') || (c == '/'));
}
std::vector<uint8_t> base64_decode(const std::string& encoded_string) {
int in_len = encoded_string.size();
int i = 0;
int j = 0;
int in_ = 0;
uint8_t char_array_4[4], char_array_3[3];
std::vector<uint8_t> ret;
while (in_len-- && (encoded_string[in_] != '=') && is_base64(encoded_string[in_])) {
char_array_4[i++] = encoded_string[in_];
in_++;
if (i == 4) {
for (i = 0; i < 4; i++)
char_array_4[i] = static_cast<uint8_t>(base64_chars.find(char_array_4[i]));
char_array_3[0] = (char_array_4[0] << 2) + ((char_array_4[1] & 0x30) >> 4);
char_array_3[1] = ((char_array_4[1] & 0xf) << 4) + ((char_array_4[2] & 0x3c) >> 2);
char_array_3[2] = ((char_array_4[2] & 0x3) << 6) + char_array_4[3];
for (i = 0; i < 3; i++)
ret.push_back(char_array_3[i]);
i = 0;
}
}
if (i) {
for (j = i; j < 4; j++)
char_array_4[j] = 0;
for (j = 0; j < 4; j++)
char_array_4[j] = static_cast<uint8_t>(base64_chars.find(char_array_4[j]));
char_array_3[0] = (char_array_4[0] << 2) + ((char_array_4[1] & 0x30) >> 4);
char_array_3[1] = ((char_array_4[1] & 0xf) << 4) + ((char_array_4[2] & 0x3c) >> 2);
char_array_3[2] = ((char_array_4[2] & 0x3) << 6) + char_array_4[3];
for (j = 0; j < i - 1; j++)
ret.push_back(char_array_3[j]);
}
return ret;
}
std::string iso_timestamp_now() {
using namespace std::chrono;
auto now = system_clock::now();
std::time_t t = system_clock::to_time_t(now);
std::tm tm{};
#ifdef _MSC_VER
gmtime_s(&tm, &t);
#else
gmtime_r(&t, &tm);
#endif
std::ostringstream oss;
oss << std::put_time(&tm, "%Y-%m-%dT%H:%M:%SZ");
return oss.str();
}
struct SDSvrParams {
std::string listen_ip = "127.0.0.1";
int listen_port = 1234;
bool normal_exit = false;
bool verbose = false;
bool color = false;
ArgOptions get_options() {
ArgOptions options;
options.string_options = {
{"-l",
"--listen-ip",
"server listen ip (default: 127.0.0.1)",
&listen_ip}};
options.int_options = {
{"",
"--listen-port",
"server listen port (default: 1234)",
&listen_port},
};
options.bool_options = {
{"-v",
"--verbose",
"print extra info",
true, &verbose},
{"",
"--color",
"colors the logging tags according to level",
true, &color},
};
auto on_help_arg = [&](int argc, const char** argv, int index) {
normal_exit = true;
return -1;
};
options.manual_options = {
{"-h",
"--help",
"show this help message and exit",
on_help_arg},
};
return options;
};
bool process_and_check() {
if (listen_ip.empty()) {
fprintf(stderr, "error: the following arguments are required: listen_ip\n");
return false;
}
if (listen_port < 0 || listen_port > 65535) {
fprintf(stderr, "error: listen_port should be in the range [0, 65535]\n");
return false;
}
return true;
}
std::string to_string() const {
std::ostringstream oss;
oss << "SDSvrParams {\n"
<< " listen_ip: " << listen_ip << ",\n"
<< " listen_port: \"" << listen_port << "\",\n"
<< "}";
return oss.str();
}
};
void print_usage(int argc, const char* argv[], const std::vector<ArgOptions>& options_list) {
std::cout << version_string() << "\n";
std::cout << "Usage: " << argv[0] << " [options]\n\n";
std::cout << "Svr Options:\n";
options_list[0].print();
std::cout << "\nContext Options:\n";
options_list[1].print();
}
void parse_args(int argc, const char** argv, SDSvrParams& svr_params, SDContextParams& ctx_params) {
std::vector<ArgOptions> options_vec = {svr_params.get_options(), ctx_params.get_options()};
if (!parse_options(argc, argv, options_vec)) {
print_usage(argc, argv, options_vec);
exit(svr_params.normal_exit ? 0 : 1);
}
if (!svr_params.process_and_check() || !ctx_params.process_and_check(IMG_GEN)) {
print_usage(argc, argv, options_vec);
exit(1);
}
}
std::string extract_and_remove_sd_cpp_extra_args(std::string& text) {
std::regex re("<sd_cpp_extra_args>(.*?)</sd_cpp_extra_args>");
std::smatch match;
std::string extracted;
if (std::regex_search(text, match, re)) {
extracted = match[1].str();
text = std::regex_replace(text, re, "");
}
return extracted;
}
enum class ImageFormat { JPEG,
PNG };
std::vector<uint8_t> write_image_to_vector(
ImageFormat format,
const uint8_t* image,
int width,
int height,
int channels,
int quality = 90) {
std::vector<uint8_t> buffer;
auto write_func = [&buffer](void* context, void* data, int size) {
uint8_t* src = reinterpret_cast<uint8_t*>(data);
buffer.insert(buffer.end(), src, src + size);
};
struct ContextWrapper {
decltype(write_func)& func;
} ctx{write_func};
auto c_func = [](void* context, void* data, int size) {
auto* wrapper = reinterpret_cast<ContextWrapper*>(context);
wrapper->func(context, data, size);
};
int result = 0;
switch (format) {
case ImageFormat::JPEG:
result = stbi_write_jpg_to_func(c_func, &ctx, width, height, channels, image, quality);
break;
case ImageFormat::PNG:
result = stbi_write_png_to_func(c_func, &ctx, width, height, channels, image, width * channels);
break;
default:
throw std::runtime_error("invalid image format");
}
if (!result) {
throw std::runtime_error("write imgage to mem failed");
}
return buffer;
}
/* Enables Printing the log level tag in color using ANSI escape codes */
void sd_log_cb(enum sd_log_level_t level, const char* log, void* data) {
SDSvrParams* svr_params = (SDSvrParams*)data;
int tag_color;
const char* level_str;
FILE* out_stream = (level == SD_LOG_ERROR) ? stderr : stdout;
if (!log || (!svr_params->verbose && level <= SD_LOG_DEBUG)) {
return;
}
switch (level) {
case SD_LOG_DEBUG:
tag_color = 37;
level_str = "DEBUG";
break;
case SD_LOG_INFO:
tag_color = 34;
level_str = "INFO";
break;
case SD_LOG_WARN:
tag_color = 35;
level_str = "WARN";
break;
case SD_LOG_ERROR:
tag_color = 31;
level_str = "ERROR";
break;
default: /* Potential future-proofing */
tag_color = 33;
level_str = "?????";
break;
}
if (svr_params->color == true) {
fprintf(out_stream, "\033[%d;1m[%-5s]\033[0m ", tag_color, level_str);
} else {
fprintf(out_stream, "[%-5s] ", level_str);
}
fputs(log, out_stream);
fflush(out_stream);
}
int main(int argc, const char** argv) {
SDSvrParams svr_params;
SDContextParams ctx_params;
parse_args(argc, argv, svr_params, ctx_params);
sd_set_log_callback(sd_log_cb, (void*)&svr_params);
if (svr_params.verbose) {
printf("%s", sd_get_system_info());
printf("%s\n", svr_params.to_string().c_str());
printf("%s\n", ctx_params.to_string().c_str());
}
sd_ctx_params_t sd_ctx_params = ctx_params.to_sd_ctx_params_t(false, false, false);
sd_ctx_t* sd_ctx = new_sd_ctx(&sd_ctx_params);
if (sd_ctx == nullptr) {
printf("new_sd_ctx_t failed\n");
return 1;
}
std::mutex sd_ctx_mutex;
httplib::Server svr;
// health
svr.Get("/", [&](const httplib::Request&, httplib::Response& res) {
res.set_content(R"({"ok":true,"service":"sd-cpp-http"})", "application/json");
});
// models endpoint (minimal)
svr.Get("/v1/models", [&](const httplib::Request&, httplib::Response& res) {
json r;
r["data"] = json::array();
r["data"].push_back({{"id", "sd-cpp-local"}, {"object", "model"}, {"owned_by", "local"}});
res.set_content(r.dump(), "application/json");
});
// core endpoint: /v1/images/generations
svr.Post("/v1/images/generations", [&](const httplib::Request& req, httplib::Response& res) {
try {
if (req.body.empty()) {
res.status = 400;
res.set_content(R"({"error":"empty body"})", "application/json");
return;
}
json j = json::parse(req.body);
std::string prompt = j.value("prompt", "");
int n = std::max(1, j.value("n", 1));
std::string size = j.value("size", "");
std::string output_format = j.value("output_format", "png");
int output_compression = j.value("output_compression", 100);
int width = 512;
int height = 512;
if (!size.empty()) {
auto pos = size.find('x');
if (pos != std::string::npos) {
try {
width = std::stoi(size.substr(0, pos));
height = std::stoi(size.substr(pos + 1));
} catch (...) {
}
}
}
if (prompt.empty()) {
res.status = 400;
res.set_content(R"({"error":"prompt required"})", "application/json");
return;
}
std::string sd_cpp_extra_args_str = extract_and_remove_sd_cpp_extra_args(prompt);
if (output_format != "png" && output_format != "jpeg") {
res.status = 400;
res.set_content(R"({"error":"invalid output_format, must be one of [png, jpeg]"})", "application/json");
return;
}
if (n <= 0)
n = 1;
if (n > 8)
n = 8; // safety
if (output_compression > 100) {
output_compression = 100;
}
if (output_compression < 0) {
output_compression = 0;
}
json out;
out["created"] = iso_timestamp_now();
out["data"] = json::array();
out["output_format"] = output_format;
SDGenerationParams gen_params;
gen_params.prompt = prompt;
gen_params.width = width;
gen_params.height = height;
gen_params.batch_count = n;
if (!sd_cpp_extra_args_str.empty() && !gen_params.from_json_str(sd_cpp_extra_args_str)) {
res.status = 400;
res.set_content(R"({"error":"invalid sd_cpp_extra_args"})", "application/json");
return;
}
if (!gen_params.process_and_check(IMG_GEN, ctx_params.lora_model_dir)) {
res.status = 400;
res.set_content(R"({"error":"invalid params"})", "application/json");
return;
}
if (svr_params.verbose) {
printf("%s\n", gen_params.to_string().c_str());
}
sd_image_t init_image = {(uint32_t)gen_params.width, (uint32_t)gen_params.height, 3, nullptr};
sd_image_t control_image = {(uint32_t)gen_params.width, (uint32_t)gen_params.height, 3, nullptr};
sd_image_t mask_image = {(uint32_t)gen_params.width, (uint32_t)gen_params.height, 1, nullptr};
std::vector<sd_image_t> pmid_images;
sd_img_gen_params_t img_gen_params = {
gen_params.lora_vec.data(),
static_cast<uint32_t>(gen_params.lora_vec.size()),
gen_params.prompt.c_str(),
gen_params.negative_prompt.c_str(),
gen_params.clip_skip,
init_image,
nullptr,
0,
gen_params.auto_resize_ref_image,
gen_params.increase_ref_index,
mask_image,
gen_params.width,
gen_params.height,
gen_params.sample_params,
gen_params.strength,
gen_params.seed,
gen_params.batch_count,
control_image,
gen_params.control_strength,
{
pmid_images.data(),
(int)pmid_images.size(),
gen_params.pm_id_embed_path.c_str(),
gen_params.pm_style_strength,
}, // pm_params
ctx_params.vae_tiling_params,
gen_params.easycache_params,
};
sd_image_t* results = nullptr;
int num_results = 0;
{
std::lock_guard<std::mutex> lock(sd_ctx_mutex);
results = generate_image(sd_ctx, &img_gen_params);
num_results = gen_params.batch_count;
}
for (int i = 0; i < num_results; i++) {
if (results[i].data == nullptr) {
continue;
}
auto image_bytes = write_image_to_vector(output_format == "jpeg" ? ImageFormat::JPEG : ImageFormat::PNG,
results[i].data,
results[i].width,
results[i].height,
results[i].channel,
output_compression);
if (image_bytes.empty()) {
printf("write image to mem failed\n");
continue;
}
// base64 encode
std::string b64 = base64_encode(image_bytes);
json item;
item["b64_json"] = b64;
out["data"].push_back(item);
}
res.set_content(out.dump(), "application/json");
res.status = 200;
} catch (const std::exception& e) {
res.status = 500;
json err;
err["error"] = "server_error";
err["message"] = e.what();
res.set_content(err.dump(), "application/json");
}
});
svr.Post("/v1/images/edits", [&](const httplib::Request& req, httplib::Response& res) {
try {
if (!req.is_multipart_form_data()) {
res.status = 400;
res.set_content(R"({"error":"Content-Type must be multipart/form-data"})", "application/json");
return;
}
std::string prompt = req.form.get_field("prompt");
if (prompt.empty()) {
res.status = 400;
res.set_content(R"({"error":"prompt required"})", "application/json");
return;
}
std::string sd_cpp_extra_args_str = extract_and_remove_sd_cpp_extra_args(prompt);
size_t image_count = req.form.get_file_count("image[]");
if (image_count == 0) {
res.status = 400;
res.set_content(R"({"error":"at least one image[] required"})", "application/json");
return;
}
std::vector<std::vector<uint8_t>> images_bytes;
for (size_t i = 0; i < image_count; i++) {
auto file = req.form.get_file("image[]", i);
images_bytes.emplace_back(file.content.begin(), file.content.end());
}
std::vector<uint8_t> mask_bytes;
if (req.form.has_field("mask")) {
auto file = req.form.get_file("mask");
mask_bytes.assign(file.content.begin(), file.content.end());
}
int n = 1;
if (req.form.has_field("n")) {
try {
n = std::stoi(req.form.get_field("n"));
} catch (...) {
}
}
n = std::clamp(n, 1, 8);
std::string size = req.form.get_field("size");
int width = 512, height = 512;
if (!size.empty()) {
auto pos = size.find('x');
if (pos != std::string::npos) {
try {
width = std::stoi(size.substr(0, pos));
height = std::stoi(size.substr(pos + 1));
} catch (...) {
}
}
}
std::string output_format = "png";
if (req.form.has_field("output_format"))
output_format = req.form.get_field("output_format");
if (output_format != "png" && output_format != "jpeg") {
res.status = 400;
res.set_content(R"({"error":"invalid output_format, must be one of [png, jpeg]"})", "application/json");
return;
}
std::string output_compression_str = req.form.get_field("output_compression");
int output_compression = 100;
try {
output_compression = std::stoi(output_compression_str);
} catch (...) {
}
if (output_compression > 100) {
output_compression = 100;
}
if (output_compression < 0) {
output_compression = 0;
}
SDGenerationParams gen_params;
gen_params.prompt = prompt;
gen_params.width = width;
gen_params.height = height;
gen_params.batch_count = n;
if (!sd_cpp_extra_args_str.empty() && !gen_params.from_json_str(sd_cpp_extra_args_str)) {
res.status = 400;
res.set_content(R"({"error":"invalid sd_cpp_extra_args"})", "application/json");
return;
}
if (svr_params.verbose) {
printf("%s\n", gen_params.to_string().c_str());
}
sd_image_t init_image = {(uint32_t)gen_params.width, (uint32_t)gen_params.height, 3, nullptr};
sd_image_t control_image = {(uint32_t)gen_params.width, (uint32_t)gen_params.height, 3, nullptr};
std::vector<sd_image_t> pmid_images;
std::vector<sd_image_t> ref_images;
ref_images.reserve(images_bytes.size());
for (auto& bytes : images_bytes) {
int img_w = width;
int img_h = height;
uint8_t* raw_pixels = load_image_from_memory(
reinterpret_cast<const char*>(bytes.data()),
bytes.size(),
img_w, img_h,
width, height, 3);
if (!raw_pixels) {
continue;
}
sd_image_t img{(uint32_t)img_w, (uint32_t)img_h, 3, raw_pixels};
ref_images.push_back(img);
}
sd_image_t mask_image = {0};
if (!mask_bytes.empty()) {
int mask_w = width;
int mask_h = height;
uint8_t* mask_raw = load_image_from_memory(
reinterpret_cast<const char*>(mask_bytes.data()),
mask_bytes.size(),
mask_w, mask_h,
width, height, 1);
mask_image = {(uint32_t)mask_w, (uint32_t)mask_h, 1, mask_raw};
} else {
mask_image.width = width;
mask_image.height = height;
mask_image.channel = 1;
mask_image.data = nullptr;
}
sd_img_gen_params_t img_gen_params = {
gen_params.lora_vec.data(),
static_cast<uint32_t>(gen_params.lora_vec.size()),
gen_params.prompt.c_str(),
gen_params.negative_prompt.c_str(),
gen_params.clip_skip,
init_image,
ref_images.data(),
(int)ref_images.size(),
gen_params.auto_resize_ref_image,
gen_params.increase_ref_index,
mask_image,
gen_params.width,
gen_params.height,
gen_params.sample_params,
gen_params.strength,
gen_params.seed,
gen_params.batch_count,
control_image,
gen_params.control_strength,
{
pmid_images.data(),
(int)pmid_images.size(),
gen_params.pm_id_embed_path.c_str(),
gen_params.pm_style_strength,
}, // pm_params
ctx_params.vae_tiling_params,
gen_params.easycache_params,
};
sd_image_t* results = nullptr;
int num_results = 0;
{
std::lock_guard<std::mutex> lock(sd_ctx_mutex);
results = generate_image(sd_ctx, &img_gen_params);
num_results = gen_params.batch_count;
}
json out;
out["created"] = iso_timestamp_now();
out["data"] = json::array();
out["output_format"] = output_format;
for (int i = 0; i < num_results; i++) {
if (results[i].data == nullptr)
continue;
auto image_bytes = write_image_to_vector(output_format == "jpeg" ? ImageFormat::JPEG : ImageFormat::PNG,
results[i].data,
results[i].width,
results[i].height,
results[i].channel,
output_compression);
std::string b64 = base64_encode(image_bytes);
json item;
item["b64_json"] = b64;
out["data"].push_back(item);
}
res.set_content(out.dump(), "application/json");
res.status = 200;
if (init_image.data) {
stbi_image_free(init_image.data);
}
if (mask_image.data) {
stbi_image_free(mask_image.data);
}
for (auto ref_image : ref_images) {
stbi_image_free(ref_image.data);
}
} catch (const std::exception& e) {
res.status = 500;
json err;
err["error"] = "server_error";
err["message"] = e.what();
res.set_content(err.dump(), "application/json");
}
});
printf("listening on: %s:%d\n", svr_params.listen_ip.c_str(), svr_params.listen_port);
svr.listen(svr_params.listen_ip, svr_params.listen_port);
// cleanup
free_sd_ctx(sd_ctx);
return 0;
}