feat: add sd-webui style Hires. fix support (#1451)

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leejet authored and GitHub committed 2026-04-22 23:51:09 +08:00
1 parent 44cca3d626
commit c97702e105
14 files changed
+870 -136

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+71
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@@ -38,6 +38,8 @@ Current generation-related endpoints include:
- `POST /sdapi/v1/txt2img`
- `POST /sdapi/v1/img2img`
- `GET /sdapi/v1/loras`
- `GET /sdapi/v1/upscalers`
- `GET /sdapi/v1/latent-upscale-modes`
- `GET /sdapi/v1/samplers`
- `GET /sdapi/v1/schedulers`
- `GET /sdapi/v1/sd-models`
@@ -216,6 +218,13 @@ Currently supported request fields:
| `scheduler` | `string` | Scheduler name |
| `lora` | `array<object>` | Structured LoRA list |
| `extra_images` | `array<string>` | Base64 or data URL images |
| `enable_hr` | `boolean` | Enable highres fix for `txt2img` |
| `hr_upscaler` | `string` | `Latent (nearest)` or an upscaler model name from `/sdapi/v1/upscalers` |
| `hr_scale` | `number` | Highres scale when resize target is not set |
| `hr_resize_x` | `integer` | Highres target width, `0` to use scale |
| `hr_resize_y` | `integer` | Highres target height, `0` to use scale |
| `hr_steps` | `integer` | Highres second-pass sample steps, `0` to reuse `steps` |
| `denoising_strength` | `number` | Highres denoising strength for `txt2img` |
Native extension fields:
@@ -241,6 +250,8 @@ Currently supported request fields:
| `inpainting_mask_invert` | `integer` or `boolean` | Treated as invert flag |
| `denoising_strength` | `number` | Clamped to `0.0..1.0` |
Highres fix fields are currently handled for `txt2img`; `img2img` uses `denoising_strength` as image-to-image strength.
Native extension fields:
- any `sdcpp API` fields embedded through `sd_cpp_extra_args` inside `prompt`
@@ -258,6 +269,8 @@ Response fields:
Currently exposed:
- `GET /sdapi/v1/loras`
- `GET /sdapi/v1/upscalers`
- `GET /sdapi/v1/latent-upscale-modes`
- `GET /sdapi/v1/samplers`
- `GET /sdapi/v1/schedulers`
- `GET /sdapi/v1/sd-models`
@@ -272,6 +285,24 @@ Response fields:
| `[].name` | `string` | Display name derived from file stem |
| `[].path` | `string` | Relative path under the configured LoRA directory |
`GET /sdapi/v1/upscalers`
| Field | Type | Notes |
| --- | --- | --- |
| `[].name` | `string` | Built-in name or model stem |
| `[].model_name` | `string \| null` | Model family label for model-backed upscalers |
| `[].model_path` | `string \| null` | Absolute model path for model-backed upscalers |
| `[].model_url` | `string \| null` | Currently always null |
| `[].scale` | `integer` | Currently `4` |
Built-in entries include `None`, `Lanczos`, and `Nearest`. Model-backed entries are scanned from the top level of `--hires-upscalers-dir`; subdirectories are not scanned.
`GET /sdapi/v1/latent-upscale-modes`
| Field | Type | Notes |
| --- | --- | --- |
| `[].name` | `string` | WebUI-compatible latent upscale mode name |
`GET /sdapi/v1/samplers`
| Field | Type | Notes |
@@ -388,6 +419,7 @@ Top-level fields:
| `samplers` | `array<string>` | Available sampling methods |
| `schedulers` | `array<string>` | Available schedulers |
| `loras` | `array<object>` | Available LoRA entries |
| `upscalers` | `array<object>` | Available model-backed highres upscalers |
| `limits` | `object` | Shared queue and size limits |
`model`
@@ -424,6 +456,14 @@ Shared nested fields:
| `loras[].name` | `string` |
| `loras[].path` | `string` |
`upscalers`
| Field | Type | Notes |
| --- | --- | --- |
| `upscalers[].name` | `string` | Built-in name or model stem; use this value in `hires.upscaler` |
Built-in entries include `None` and `Latent (nearest)`. Model-backed entries are scanned from the top level of `--hires-upscalers-dir`; subdirectories are not scanned.
`limits`
| Field | Type |
@@ -482,6 +522,15 @@ Shared default fields used by both `img_gen` and `vid_gen`:
| `auto_resize_ref_image` | `boolean` |
| `increase_ref_index` | `boolean` |
| `control_strength` | `number` |
| `hires` | `object` |
| `hires.enabled` | `boolean` |
| `hires.upscaler` | `string` |
| `hires.scale` | `number` |
| `hires.target_width` | `integer` |
| `hires.target_height` | `integer` |
| `hires.steps` | `integer` |
| `hires.denoising_strength` | `number` |
| `hires.upscale_tile_size` | `integer` |
`vid_gen`-specific default fields:
@@ -514,6 +563,7 @@ Fields returned in `features_by_mode.img_gen`:
- `ref_images`
- `lora`
- `vae_tiling`
- `hires`
- `cache`
- `cancel_queued`
- `cancel_generating`
@@ -625,6 +675,16 @@ Example:
},
"lora": [],
"hires": {
"enabled": false,
"upscaler": "Latent (nearest)",
"scale": 2.0,
"target_width": 0,
"target_height": 0,
"steps": 0,
"denoising_strength": 0.7,
"upscale_tile_size": 128
},
"vae_tiling_params": {
"enabled": false,
@@ -729,12 +789,23 @@ Other native fields:
| Field | Type |
| --- | --- |
| `hires` | `object` |
| `hires.enabled` | `boolean` |
| `hires.upscaler` | `string` |
| `hires.scale` | `number` |
| `hires.target_width` | `integer` |
| `hires.target_height` | `integer` |
| `hires.steps` | `integer` |
| `hires.denoising_strength` | `number` |
| `hires.upscale_tile_size` | `integer` |
| `vae_tiling_params` | `object` |
| `cache_mode` | `string` |
| `cache_option` | `string` |
| `scm_mask` | `string` |
| `scm_policy_dynamic` | `boolean` |
For `hires.upscaler`, use `Latent (nearest)` for latent upscale or an `upscalers[].name` value from `GET /sdcpp/v1/capabilities`. Model-backed upscalers are resolved as `--hires-upscalers-dir / (name + ext)` and must live directly in that directory.
HTTP-only output fields:
| Field | Type |
+7 -1
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@@ -48,7 +48,9 @@ static void parse_args(int argc,
if (!svr_params.resolve_and_validate() ||
!ctx_params.resolve_and_validate(IMG_GEN) ||
!default_gen_params.resolve_and_validate(IMG_GEN, ctx_params.lora_model_dir)) {
!default_gen_params.resolve_and_validate(IMG_GEN,
ctx_params.lora_model_dir,
ctx_params.hires_upscalers_dir)) {
print_usage(argv[0], options_vec);
exit(1);
}
@@ -95,6 +97,8 @@ int main(int argc, const char** argv) {
std::vector<LoraEntry> lora_cache;
std::mutex lora_mutex;
std::vector<UpscalerEntry> upscaler_cache;
std::mutex upscaler_mutex;
AsyncJobManager async_job_manager;
ServerRuntime runtime = {
sd_ctx.get(),
@@ -104,6 +108,8 @@ int main(int argc, const char** argv) {
&default_gen_params,
&lora_cache,
&lora_mutex,
&upscaler_cache,
&upscaler_mutex,
&async_job_manager,
};
+2 -2
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@@ -70,7 +70,7 @@ static bool build_openai_generation_request(const httplib::Request& req,
}
// Intentionally disable prompt-embedded LoRA tag parsing for server APIs.
if (!request.gen_params.resolve_and_validate(IMG_GEN, "", true)) {
if (!request.gen_params.resolve_and_validate(IMG_GEN, "", runtime.ctx_params->hires_upscalers_dir, true)) {
error_message = "invalid params";
return false;
}
@@ -212,7 +212,7 @@ static bool build_openai_edit_request(const httplib::Request& req,
}
// Intentionally disable prompt-embedded LoRA tag parsing for server APIs.
if (!request.gen_params.resolve_and_validate(IMG_GEN, "", true)) {
if (!request.gen_params.resolve_and_validate(IMG_GEN, "", runtime.ctx_params->hires_upscalers_dir, true)) {
error_message = "invalid params";
return false;
}
+61 -3
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@@ -1,6 +1,7 @@
#include "routes.h"
#include <algorithm>
#include <cctype>
#include <cstring>
#include <regex>
#include <string_view>
@@ -35,14 +36,20 @@ static fs::path resolve_display_model_path(const ServerRuntime& runtime) {
return {};
}
static std::string lower_ascii(std::string value) {
std::transform(value.begin(), value.end(), value.begin(), [](unsigned char c) {
return static_cast<char>(std::tolower(c));
});
return value;
}
static enum sample_method_t get_sdapi_sample_method(std::string name) {
enum sample_method_t result = str_to_sample_method(name.c_str());
if (result != SAMPLE_METHOD_COUNT) {
return result;
}
std::transform(name.begin(), name.end(), name.begin(),
[](unsigned char c) { return static_cast<char>(std::tolower(c)); });
name = lower_ascii(name);
static const std::unordered_map<std::string_view, sample_method_t> hardcoded{
{"euler a", EULER_A_SAMPLE_METHOD},
{"k_euler_a", EULER_A_SAMPLE_METHOD},
@@ -114,6 +121,18 @@ static bool build_sdapi_img_gen_request(const json& j,
request.gen_params.width = j.value("width", -1);
request.gen_params.height = j.value("height", -1);
if (!img2img && j.value("enable_hr", false)) {
request.gen_params.hires_enabled = true;
request.gen_params.hires_scale = j.value("hr_scale", request.gen_params.hires_scale);
request.gen_params.hires_width = j.value("hr_resize_x", request.gen_params.hires_width);
request.gen_params.hires_height = j.value("hr_resize_y", request.gen_params.hires_height);
request.gen_params.hires_steps = j.value("hr_steps", request.gen_params.hires_steps);
request.gen_params.hires_denoising_strength =
j.value("denoising_strength", request.gen_params.hires_denoising_strength);
request.gen_params.hires_upscaler = j.value("hr_upscaler", request.gen_params.hires_upscaler);
}
std::string sd_cpp_extra_args_str = extract_and_remove_sd_cpp_extra_args(request.gen_params.prompt);
if (!sd_cpp_extra_args_str.empty() && !request.gen_params.from_json_str(sd_cpp_extra_args_str)) {
error_message = "invalid sd_cpp_extra_args";
@@ -228,7 +247,7 @@ static bool build_sdapi_img_gen_request(const json& j,
}
// Intentionally disable prompt-embedded LoRA tag parsing for server APIs.
if (!request.gen_params.resolve_and_validate(IMG_GEN, "", true)) {
if (!request.gen_params.resolve_and_validate(IMG_GEN, "", runtime.ctx_params->hires_upscalers_dir, true)) {
error_message = "invalid params";
return false;
}
@@ -347,6 +366,45 @@ void register_sdapi_endpoints(httplib::Server& svr, ServerRuntime& rt) {
res.set_content(result.dump(), "application/json");
});
svr.Get("/sdapi/v1/upscalers", [runtime](const httplib::Request&, httplib::Response& res) {
refresh_upscaler_cache(*runtime);
auto make_builtin = [](const char* name) {
json item;
item["name"] = name;
item["model_name"] = nullptr;
item["model_path"] = nullptr;
item["model_url"] = nullptr;
item["scale"] = 4;
return item;
};
json result = json::array();
result.push_back(make_builtin("None"));
{
std::lock_guard<std::mutex> lock(*runtime->upscaler_mutex);
for (const auto& e : *runtime->upscaler_cache) {
json item;
item["name"] = e.name;
item["model_name"] = e.model_name;
item["model_path"] = e.fullpath;
item["model_url"] = nullptr;
item["scale"] = e.scale;
result.push_back(item);
}
}
res.set_content(result.dump(), "application/json");
});
svr.Get("/sdapi/v1/latent-upscale-modes", [](const httplib::Request&, httplib::Response& res) {
json result = json::array({
{{"name", "Latent (nearest)"}},
});
res.set_content(result.dump(), "application/json");
});
svr.Get("/sdapi/v1/samplers", [runtime](const httplib::Request&, httplib::Response& res) {
std::vector<std::string> sampler_names;
sampler_names.push_back("default");
+32 -2
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@@ -114,6 +114,17 @@ static json make_img_gen_defaults_json(const SDGenerationParams& defaults, const
{"increase_ref_index", defaults.increase_ref_index},
{"control_strength", defaults.control_strength},
{"sample_params", make_sample_params_json(defaults.sample_params, defaults.skip_layers)},
{"hires",
{
{"enabled", defaults.hires_enabled},
{"upscaler", defaults.hires_upscaler},
{"scale", defaults.hires_scale},
{"target_width", defaults.hires_width},
{"target_height", defaults.hires_height},
{"steps", defaults.hires_steps},
{"denoising_strength", defaults.hires_denoising_strength},
{"upscale_tile_size", defaults.hires_upscale_tile_size},
}},
{"vae_tiling_params", make_vae_tiling_json(defaults.vae_tiling_params)},
{"cache_mode", defaults.cache_mode},
{"cache_option", defaults.cache_option},
@@ -157,6 +168,7 @@ static json make_img_gen_features_json() {
{"ref_images", true},
{"lora", true},
{"vae_tiling", true},
{"hires", true},
{"cache", true},
{"cancel_queued", true},
{"cancel_generating", false},
@@ -179,6 +191,7 @@ static json make_vid_gen_features_json() {
static json make_capabilities_json(ServerRuntime& runtime) {
refresh_lora_cache(runtime);
refresh_upscaler_cache(runtime);
AsyncJobManager& manager = *runtime.async_job_manager;
const auto& defaults = *runtime.default_gen_params;
@@ -190,6 +203,7 @@ static json make_capabilities_json(ServerRuntime& runtime) {
json image_output_formats = supported_img_output_formats();
json video_output_formats = supported_vid_output_formats();
json available_loras = json::array();
json available_upscalers = json::array();
json supported_modes = json::array();
for (int i = 0; i < SAMPLE_METHOD_COUNT; ++i) {
@@ -210,6 +224,21 @@ static json make_capabilities_json(ServerRuntime& runtime) {
}
}
available_upscalers.push_back({
{"name", "None"},
});
available_upscalers.push_back({
{"name", "Latent (nearest)"},
});
{
std::lock_guard<std::mutex> lock(*runtime.upscaler_mutex);
for (const auto& entry : *runtime.upscaler_cache) {
available_upscalers.push_back({
{"name", entry.name},
});
}
}
if (supports_img) {
supported_modes.push_back("img_gen");
}
@@ -284,6 +313,7 @@ static json make_capabilities_json(ServerRuntime& runtime) {
result["features"] = top_level_features;
result["features_by_mode"] = features_by_mode;
result["loras"] = available_loras;
result["upscalers"] = available_upscalers;
return result;
}
@@ -307,7 +337,7 @@ static bool parse_img_gen_request(const json& body,
return false;
}
// Intentionally disable prompt-embedded LoRA tag parsing for server APIs.
if (!request.gen_params.resolve_and_validate(IMG_GEN, "", true)) {
if (!request.gen_params.resolve_and_validate(IMG_GEN, "", runtime.ctx_params->hires_upscalers_dir, true)) {
error_message = "invalid generation parameters";
return false;
}
@@ -334,7 +364,7 @@ static bool parse_vid_gen_request(const json& body,
return false;
}
// Intentionally disable prompt-embedded LoRA tag parsing for server APIs.
if (!request.gen_params.resolve_and_validate(VID_GEN, "", true)) {
if (!request.gen_params.resolve_and_validate(VID_GEN, "", runtime.ctx_params->hires_upscalers_dir, true)) {
error_message = "invalid generation parameters";
return false;
}
+48 -9
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@@ -1,6 +1,7 @@
#include "runtime.h"
#include <algorithm>
#include <cctype>
#include <chrono>
#include <cstdlib>
#include <filesystem>
@@ -13,6 +14,18 @@
namespace fs = std::filesystem;
static std::string lower_ascii(std::string value) {
std::transform(value.begin(), value.end(), value.begin(), [](unsigned char c) {
return static_cast<char>(std::tolower(c));
});
return value;
}
static bool is_supported_model_ext(const fs::path& p) {
auto ext = lower_ascii(p.extension().string());
return ext == ".gguf" || ext == ".pt" || ext == ".pth" || ext == ".safetensors";
}
static const std::string k_base64_chars =
"ABCDEFGHIJKLMNOPQRSTUVWXYZ"
"abcdefghijklmnopqrstuvwxyz"
@@ -241,20 +254,12 @@ void refresh_lora_cache(ServerRuntime& rt) {
fs::path lora_dir = rt.ctx_params->lora_model_dir;
if (fs::exists(lora_dir) && fs::is_directory(lora_dir)) {
auto is_lora_ext = [](const fs::path& p) {
auto ext = p.extension().string();
std::transform(ext.begin(), ext.end(), ext.begin(), [](unsigned char c) {
return static_cast<char>(std::tolower(c));
});
return ext == ".gguf" || ext == ".pt" || ext == ".pth" || ext == ".safetensors";
};
for (auto& entry : fs::recursive_directory_iterator(lora_dir)) {
if (!entry.is_regular_file()) {
continue;
}
const fs::path& p = entry.path();
if (!is_lora_ext(p)) {
if (!is_supported_model_ext(p)) {
continue;
}
@@ -286,6 +291,40 @@ std::string get_lora_full_path(ServerRuntime& rt, const std::string& path) {
return it != rt.lora_cache->end() ? it->fullpath : "";
}
void refresh_upscaler_cache(ServerRuntime& rt) {
std::vector<UpscalerEntry> new_cache;
fs::path upscaler_dir = rt.ctx_params->hires_upscalers_dir;
if (fs::exists(upscaler_dir) && fs::is_directory(upscaler_dir)) {
for (auto& entry : fs::directory_iterator(upscaler_dir)) {
if (!entry.is_regular_file()) {
continue;
}
const fs::path& p = entry.path();
if (!is_supported_model_ext(p)) {
continue;
}
UpscalerEntry upscaler_entry;
upscaler_entry.name = p.stem().u8string();
upscaler_entry.fullpath = fs::absolute(p).lexically_normal().u8string();
upscaler_entry.model_name = "ESRGAN_4x";
upscaler_entry.path = p.filename().u8string();
new_cache.push_back(std::move(upscaler_entry));
}
}
std::sort(new_cache.begin(), new_cache.end(), [](const UpscalerEntry& a, const UpscalerEntry& b) {
return a.name < b.name;
});
{
std::lock_guard<std::mutex> lock(*rt.upscaler_mutex);
*rt.upscaler_cache = std::move(new_cache);
}
}
int64_t unix_timestamp_now() {
return std::chrono::duration_cast<std::chrono::seconds>(
std::chrono::system_clock::now().time_since_epoch())
+11
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@@ -37,6 +37,14 @@ struct LoraEntry {
std::string fullpath;
};
struct UpscalerEntry {
std::string name;
std::string path;
std::string fullpath;
std::string model_name;
int scale = 4;
};
struct ServerRuntime {
sd_ctx_t* sd_ctx;
std::mutex* sd_ctx_mutex;
@@ -45,6 +53,8 @@ struct ServerRuntime {
const SDGenerationParams* default_gen_params;
std::vector<LoraEntry>* lora_cache;
std::mutex* lora_mutex;
std::vector<UpscalerEntry>* upscaler_cache;
std::mutex* upscaler_mutex;
AsyncJobManager* async_job_manager;
};
@@ -86,4 +96,5 @@ bool runtime_supports_generation_mode(const ServerRuntime& runtime, SDMode mode)
std::string unsupported_generation_mode_error(SDMode mode);
void refresh_lora_cache(ServerRuntime& rt);
std::string get_lora_full_path(ServerRuntime& rt, const std::string& path);
void refresh_upscaler_cache(ServerRuntime& rt);
int64_t unix_timestamp_now();