DarthAffe/stable-diffusion.cpp
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chore: format code

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leejet committed 2026-10-24 01:23:42 +08:00
1 parent 40b1788476
commit e0ed724e28
69 files changed
+711 -441
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examples/server/async_jobs.cpp
+4 -4
View File
@@ -234,11 +234,11 @@ json make_async_job_json(const AsyncJobManager& manager, const AsyncGenerationJo
job.status == AsyncJobStatus::Cancelled) {
result["result"] = nullptr;
result["error"] = {
{"code",
{"code",
job.error_code.empty()
? (job.status == AsyncJobStatus::Cancelled ? "cancelled" : "generation_failed")
: job.error_code},
{"message", job.error_message},
? (job.status == AsyncJobStatus::Cancelled ? "cancelled" : "generation_failed")
: job.error_code},
{"message", job.error_message},
};
} else {
result["result"] = nullptr;
examples/server/model_catalog.cpp
+1 -1
View File
@@ -19,7 +19,7 @@ struct ModelSlot {
const char* id;
const char* label;
std::vector<std::string> categories;
std::string SDContextParams::*field;
std::string SDContextParams::* field;
};
static const ModelSlot k_model_slots[] = {
examples/server/routes_openai.cpp
+17 -17
View File
@@ -163,11 +163,11 @@ static bool build_openai_edit_request(const httplib::Request& req,
int img_h = 0;
int resolved_channel = 0;
uint8_t* raw_pixels = load_image_from_memory(
reinterpret_cast<const char*>(bytes.data()),
static_cast<int>(bytes.size()),
img_w, img_h, resolved_channel,
0, 0,
0);
reinterpret_cast<const char*>(bytes.data()),
static_cast<int>(bytes.size()),
img_w, img_h, resolved_channel,
0, 0,
0);
if (raw_pixels == nullptr) {
continue;
}
@@ -301,12 +301,12 @@ void register_openai_api_endpoints(httplib::Server& svr, ServerRuntime& rt) {
: request.output_format == "webp"
? EncodedImageFormat::WEBP
: EncodedImageFormat::PNG,
results[i].data,
results[i].width,
results[i].height,
results[i].channel,
params,
request.output_compression);
results[i].data,
results[i].width,
results[i].height,
results[i].channel,
params,
request.output_compression);
if (image_bytes.empty()) {
LOG_ERROR("write image to mem failed");
continue;
@@ -371,12 +371,12 @@ void register_openai_api_endpoints(httplib::Server& svr, ServerRuntime& rt) {
request.gen_params.seed + i / images_per_batch)
: "";
auto image_bytes = encode_image_to_vector(request.output_format == "jpeg" ? EncodedImageFormat::JPEG : EncodedImageFormat::PNG,
results[i].data,
results[i].width,
results[i].height,
results[i].channel,
params,
request.output_compression);
results[i].data,
results[i].width,
results[i].height,
results[i].channel,
params,
request.output_compression);
json item;
item["b64_json"] = base64_encode(image_bytes);
out["data"].push_back(item);
examples/server/routes_sdapi.cpp
+1 -1
View File
@@ -543,7 +543,7 @@ static void preview_callback(int step, int frame_count, sd_image_t* frames, bool
std::lock_guard<std::mutex> lock(g_preview.mutex);
g_preview.b64 = std::move(b64);
g_preview.step = static_cast<int>(std::min<int64_t>(step < 0 ? -static_cast<int64_t>(step) : step,
std::max(0, info.total_steps)));
std::max(0, info.total_steps)));
g_preview.total = std::max(0, info.total_steps);
g_preview.job_no = std::max(0, info.sample_pass - 1);
}
examples/server/routes_sdcpp.cpp
+17 -17
View File
@@ -381,8 +381,8 @@ static json make_capabilities_json(ServerRuntime& runtime) {
json top_level_defaults = json::object();
json top_level_output_formats = json::array();
json top_level_features = {
{"cancel_queued", true},
{"cancel_generating", true},
{"cancel_queued", true},
{"cancel_generating", true},
};
std::string current_mode = "";
if (supports_img) {
@@ -410,14 +410,14 @@ static json make_capabilities_json(ServerRuntime& runtime) {
result["defaults"] = top_level_defaults;
result["defaults_by_mode"] = defaults_by_mode;
result["limits"] = {
{"min_width", 64},
{"max_width", k_max_generation_dimension},
{"min_height", 64},
{"max_height", k_max_generation_dimension},
{"max_batch_count", 8},
{"max_queue_size", manager.max_pending_jobs},
{"max_upscale_width", k_max_upscale_dimension},
{"max_upscale_height", k_max_upscale_dimension},
{"min_width", 64},
{"max_width", k_max_generation_dimension},
{"min_height", 64},
{"max_height", k_max_generation_dimension},
{"max_batch_count", 8},
{"max_queue_size", manager.max_pending_jobs},
{"max_upscale_width", k_max_upscale_dimension},
{"max_upscale_height", k_max_upscale_dimension},
};
result["samplers"] = samplers;
result["schedulers"] = schedulers;
@@ -520,7 +520,7 @@ void register_sdcpp_api_endpoints(httplib::Server& svr, ServerRuntime& rt) {
const bool valid = value.is_number_unsigned()
? value.get<uint64_t>() <= static_cast<uint64_t>(std::numeric_limits<int>::max())
: value.is_number_integer() && value.get<int64_t>() >= std::numeric_limits<int>::min() &&
value.get<int64_t>() <= std::numeric_limits<int>::max();
value.get<int64_t>() <= std::numeric_limits<int>::max();
if (!valid) {
res.status = 400;
res.set_content(json({{"error", std::string(key) + " must be a 32-bit integer"}}).dump(), "application/json");
@@ -631,12 +631,12 @@ void register_sdcpp_api_endpoints(httplib::Server& svr, ServerRuntime& rt) {
auto image_bytes = encode_image_to_vector(format == "jpeg" ? EncodedImageFormat::JPEG
: format == "webp" ? EncodedImageFormat::WEBP
: EncodedImageFormat::PNG,
result.data,
result.width,
result.height,
result.channel,
"",
compression);
result.data,
result.width,
result.height,
result.channel,
"",
compression);
if (image_bytes.empty()) {
res.status = 500;
res.set_content(R"({"error":"the result could not be encoded"})", "application/json");