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https://github.com/leejet/stable-diffusion.cpp.git
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feat: add sd-webui style Hires. fix support (#1451)
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@@ -38,6 +38,8 @@ Current generation-related endpoints include:
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- `POST /sdapi/v1/txt2img`
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- `POST /sdapi/v1/img2img`
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- `GET /sdapi/v1/loras`
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- `GET /sdapi/v1/upscalers`
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- `GET /sdapi/v1/latent-upscale-modes`
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- `GET /sdapi/v1/samplers`
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- `GET /sdapi/v1/schedulers`
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- `GET /sdapi/v1/sd-models`
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@@ -216,6 +218,13 @@ Currently supported request fields:
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| `scheduler` | `string` | Scheduler name |
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| `lora` | `array<object>` | Structured LoRA list |
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| `extra_images` | `array<string>` | Base64 or data URL images |
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| `enable_hr` | `boolean` | Enable highres fix for `txt2img` |
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| `hr_upscaler` | `string` | `Latent (nearest)` or an upscaler model name from `/sdapi/v1/upscalers` |
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| `hr_scale` | `number` | Highres scale when resize target is not set |
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| `hr_resize_x` | `integer` | Highres target width, `0` to use scale |
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| `hr_resize_y` | `integer` | Highres target height, `0` to use scale |
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| `hr_steps` | `integer` | Highres second-pass sample steps, `0` to reuse `steps` |
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| `denoising_strength` | `number` | Highres denoising strength for `txt2img` |
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Native extension fields:
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@@ -241,6 +250,8 @@ Currently supported request fields:
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| `inpainting_mask_invert` | `integer` or `boolean` | Treated as invert flag |
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| `denoising_strength` | `number` | Clamped to `0.0..1.0` |
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Highres fix fields are currently handled for `txt2img`; `img2img` uses `denoising_strength` as image-to-image strength.
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Native extension fields:
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- any `sdcpp API` fields embedded through `sd_cpp_extra_args` inside `prompt`
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@@ -258,6 +269,8 @@ Response fields:
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Currently exposed:
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- `GET /sdapi/v1/loras`
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- `GET /sdapi/v1/upscalers`
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- `GET /sdapi/v1/latent-upscale-modes`
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- `GET /sdapi/v1/samplers`
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- `GET /sdapi/v1/schedulers`
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- `GET /sdapi/v1/sd-models`
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@@ -272,6 +285,24 @@ Response fields:
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| `[].name` | `string` | Display name derived from file stem |
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| `[].path` | `string` | Relative path under the configured LoRA directory |
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`GET /sdapi/v1/upscalers`
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| Field | Type | Notes |
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| --- | --- | --- |
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| `[].name` | `string` | Built-in name or model stem |
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| `[].model_name` | `string \| null` | Model family label for model-backed upscalers |
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| `[].model_path` | `string \| null` | Absolute model path for model-backed upscalers |
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| `[].model_url` | `string \| null` | Currently always null |
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| `[].scale` | `integer` | Currently `4` |
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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.
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`GET /sdapi/v1/latent-upscale-modes`
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| Field | Type | Notes |
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| --- | --- | --- |
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| `[].name` | `string` | WebUI-compatible latent upscale mode name |
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`GET /sdapi/v1/samplers`
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| Field | Type | Notes |
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@@ -388,6 +419,7 @@ Top-level fields:
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| `samplers` | `array<string>` | Available sampling methods |
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| `schedulers` | `array<string>` | Available schedulers |
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| `loras` | `array<object>` | Available LoRA entries |
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| `upscalers` | `array<object>` | Available model-backed highres upscalers |
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| `limits` | `object` | Shared queue and size limits |
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`model`
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@@ -424,6 +456,14 @@ Shared nested fields:
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| `loras[].name` | `string` |
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| `loras[].path` | `string` |
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`upscalers`
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| Field | Type | Notes |
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| --- | --- | --- |
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| `upscalers[].name` | `string` | Built-in name or model stem; use this value in `hires.upscaler` |
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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.
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`limits`
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| Field | Type |
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@@ -482,6 +522,15 @@ Shared default fields used by both `img_gen` and `vid_gen`:
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| `auto_resize_ref_image` | `boolean` |
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| `increase_ref_index` | `boolean` |
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| `control_strength` | `number` |
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| `hires` | `object` |
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| `hires.enabled` | `boolean` |
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| `hires.upscaler` | `string` |
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| `hires.scale` | `number` |
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| `hires.target_width` | `integer` |
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| `hires.target_height` | `integer` |
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| `hires.steps` | `integer` |
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| `hires.denoising_strength` | `number` |
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| `hires.upscale_tile_size` | `integer` |
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`vid_gen`-specific default fields:
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@@ -514,6 +563,7 @@ Fields returned in `features_by_mode.img_gen`:
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- `ref_images`
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- `lora`
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- `vae_tiling`
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- `hires`
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- `cache`
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- `cancel_queued`
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- `cancel_generating`
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@@ -625,6 +675,16 @@ Example:
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},
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"lora": [],
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"hires": {
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"enabled": false,
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"upscaler": "Latent (nearest)",
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"scale": 2.0,
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"target_width": 0,
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"target_height": 0,
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"steps": 0,
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"denoising_strength": 0.7,
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"upscale_tile_size": 128
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},
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"vae_tiling_params": {
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"enabled": false,
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@@ -729,12 +789,23 @@ Other native fields:
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| Field | Type |
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| --- | --- |
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| `hires` | `object` |
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| `hires.enabled` | `boolean` |
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| `hires.upscaler` | `string` |
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| `hires.scale` | `number` |
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| `hires.target_width` | `integer` |
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| `hires.target_height` | `integer` |
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| `hires.steps` | `integer` |
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| `hires.denoising_strength` | `number` |
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| `hires.upscale_tile_size` | `integer` |
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| `vae_tiling_params` | `object` |
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| `cache_mode` | `string` |
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| `cache_option` | `string` |
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| `scm_mask` | `string` |
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| `scm_policy_dynamic` | `boolean` |
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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.
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HTTP-only output fields:
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| Field | Type |
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@@ -48,7 +48,9 @@ static void parse_args(int argc,
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if (!svr_params.resolve_and_validate() ||
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!ctx_params.resolve_and_validate(IMG_GEN) ||
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!default_gen_params.resolve_and_validate(IMG_GEN, ctx_params.lora_model_dir)) {
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!default_gen_params.resolve_and_validate(IMG_GEN,
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ctx_params.lora_model_dir,
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ctx_params.hires_upscalers_dir)) {
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print_usage(argv[0], options_vec);
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exit(1);
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}
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@@ -95,6 +97,8 @@ int main(int argc, const char** argv) {
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std::vector<LoraEntry> lora_cache;
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std::mutex lora_mutex;
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std::vector<UpscalerEntry> upscaler_cache;
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std::mutex upscaler_mutex;
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AsyncJobManager async_job_manager;
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ServerRuntime runtime = {
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sd_ctx.get(),
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@@ -104,6 +108,8 @@ int main(int argc, const char** argv) {
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&default_gen_params,
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&lora_cache,
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&lora_mutex,
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&upscaler_cache,
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&upscaler_mutex,
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&async_job_manager,
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};
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@@ -70,7 +70,7 @@ static bool build_openai_generation_request(const httplib::Request& req,
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}
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// Intentionally disable prompt-embedded LoRA tag parsing for server APIs.
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if (!request.gen_params.resolve_and_validate(IMG_GEN, "", true)) {
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if (!request.gen_params.resolve_and_validate(IMG_GEN, "", runtime.ctx_params->hires_upscalers_dir, true)) {
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error_message = "invalid params";
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return false;
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}
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@@ -212,7 +212,7 @@ static bool build_openai_edit_request(const httplib::Request& req,
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}
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// Intentionally disable prompt-embedded LoRA tag parsing for server APIs.
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if (!request.gen_params.resolve_and_validate(IMG_GEN, "", true)) {
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if (!request.gen_params.resolve_and_validate(IMG_GEN, "", runtime.ctx_params->hires_upscalers_dir, true)) {
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error_message = "invalid params";
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return false;
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}
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@@ -1,6 +1,7 @@
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#include "routes.h"
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#include <algorithm>
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#include <cctype>
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#include <cstring>
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#include <regex>
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#include <string_view>
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@@ -35,14 +36,20 @@ static fs::path resolve_display_model_path(const ServerRuntime& runtime) {
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return {};
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}
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static std::string lower_ascii(std::string value) {
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std::transform(value.begin(), value.end(), value.begin(), [](unsigned char c) {
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return static_cast<char>(std::tolower(c));
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});
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return value;
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}
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static enum sample_method_t get_sdapi_sample_method(std::string name) {
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enum sample_method_t result = str_to_sample_method(name.c_str());
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if (result != SAMPLE_METHOD_COUNT) {
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return result;
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}
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std::transform(name.begin(), name.end(), name.begin(),
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[](unsigned char c) { return static_cast<char>(std::tolower(c)); });
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name = lower_ascii(name);
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static const std::unordered_map<std::string_view, sample_method_t> hardcoded{
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{"euler a", EULER_A_SAMPLE_METHOD},
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{"k_euler_a", EULER_A_SAMPLE_METHOD},
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@@ -114,6 +121,18 @@ static bool build_sdapi_img_gen_request(const json& j,
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request.gen_params.width = j.value("width", -1);
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request.gen_params.height = j.value("height", -1);
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if (!img2img && j.value("enable_hr", false)) {
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request.gen_params.hires_enabled = true;
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request.gen_params.hires_scale = j.value("hr_scale", request.gen_params.hires_scale);
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request.gen_params.hires_width = j.value("hr_resize_x", request.gen_params.hires_width);
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request.gen_params.hires_height = j.value("hr_resize_y", request.gen_params.hires_height);
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request.gen_params.hires_steps = j.value("hr_steps", request.gen_params.hires_steps);
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request.gen_params.hires_denoising_strength =
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j.value("denoising_strength", request.gen_params.hires_denoising_strength);
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request.gen_params.hires_upscaler = j.value("hr_upscaler", request.gen_params.hires_upscaler);
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}
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std::string sd_cpp_extra_args_str = extract_and_remove_sd_cpp_extra_args(request.gen_params.prompt);
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if (!sd_cpp_extra_args_str.empty() && !request.gen_params.from_json_str(sd_cpp_extra_args_str)) {
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error_message = "invalid sd_cpp_extra_args";
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@@ -228,7 +247,7 @@ static bool build_sdapi_img_gen_request(const json& j,
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}
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// Intentionally disable prompt-embedded LoRA tag parsing for server APIs.
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if (!request.gen_params.resolve_and_validate(IMG_GEN, "", true)) {
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if (!request.gen_params.resolve_and_validate(IMG_GEN, "", runtime.ctx_params->hires_upscalers_dir, true)) {
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error_message = "invalid params";
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return false;
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}
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@@ -347,6 +366,45 @@ void register_sdapi_endpoints(httplib::Server& svr, ServerRuntime& rt) {
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res.set_content(result.dump(), "application/json");
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});
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svr.Get("/sdapi/v1/upscalers", [runtime](const httplib::Request&, httplib::Response& res) {
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refresh_upscaler_cache(*runtime);
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auto make_builtin = [](const char* name) {
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json item;
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item["name"] = name;
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item["model_name"] = nullptr;
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item["model_path"] = nullptr;
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item["model_url"] = nullptr;
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item["scale"] = 4;
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return item;
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};
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json result = json::array();
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result.push_back(make_builtin("None"));
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{
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std::lock_guard<std::mutex> lock(*runtime->upscaler_mutex);
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for (const auto& e : *runtime->upscaler_cache) {
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json item;
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item["name"] = e.name;
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item["model_name"] = e.model_name;
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item["model_path"] = e.fullpath;
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item["model_url"] = nullptr;
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item["scale"] = e.scale;
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result.push_back(item);
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}
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}
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res.set_content(result.dump(), "application/json");
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});
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svr.Get("/sdapi/v1/latent-upscale-modes", [](const httplib::Request&, httplib::Response& res) {
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json result = json::array({
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{{"name", "Latent (nearest)"}},
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});
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res.set_content(result.dump(), "application/json");
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});
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svr.Get("/sdapi/v1/samplers", [runtime](const httplib::Request&, httplib::Response& res) {
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std::vector<std::string> sampler_names;
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sampler_names.push_back("default");
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@@ -114,6 +114,17 @@ static json make_img_gen_defaults_json(const SDGenerationParams& defaults, const
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{"increase_ref_index", defaults.increase_ref_index},
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{"control_strength", defaults.control_strength},
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{"sample_params", make_sample_params_json(defaults.sample_params, defaults.skip_layers)},
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{"hires",
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{
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{"enabled", defaults.hires_enabled},
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{"upscaler", defaults.hires_upscaler},
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{"scale", defaults.hires_scale},
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{"target_width", defaults.hires_width},
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{"target_height", defaults.hires_height},
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{"steps", defaults.hires_steps},
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{"denoising_strength", defaults.hires_denoising_strength},
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{"upscale_tile_size", defaults.hires_upscale_tile_size},
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}},
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{"vae_tiling_params", make_vae_tiling_json(defaults.vae_tiling_params)},
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{"cache_mode", defaults.cache_mode},
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{"cache_option", defaults.cache_option},
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@@ -157,6 +168,7 @@ static json make_img_gen_features_json() {
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{"ref_images", true},
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{"lora", true},
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{"vae_tiling", true},
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{"hires", true},
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{"cache", true},
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{"cancel_queued", true},
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{"cancel_generating", false},
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@@ -179,6 +191,7 @@ static json make_vid_gen_features_json() {
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static json make_capabilities_json(ServerRuntime& runtime) {
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refresh_lora_cache(runtime);
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refresh_upscaler_cache(runtime);
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AsyncJobManager& manager = *runtime.async_job_manager;
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const auto& defaults = *runtime.default_gen_params;
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@@ -190,6 +203,7 @@ static json make_capabilities_json(ServerRuntime& runtime) {
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json image_output_formats = supported_img_output_formats();
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json video_output_formats = supported_vid_output_formats();
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json available_loras = json::array();
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json available_upscalers = json::array();
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json supported_modes = json::array();
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for (int i = 0; i < SAMPLE_METHOD_COUNT; ++i) {
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@@ -210,6 +224,21 @@ static json make_capabilities_json(ServerRuntime& runtime) {
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}
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}
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available_upscalers.push_back({
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{"name", "None"},
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});
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available_upscalers.push_back({
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{"name", "Latent (nearest)"},
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});
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{
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std::lock_guard<std::mutex> lock(*runtime.upscaler_mutex);
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for (const auto& entry : *runtime.upscaler_cache) {
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available_upscalers.push_back({
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{"name", entry.name},
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});
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}
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}
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if (supports_img) {
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supported_modes.push_back("img_gen");
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}
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@@ -284,6 +313,7 @@ static json make_capabilities_json(ServerRuntime& runtime) {
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result["features"] = top_level_features;
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result["features_by_mode"] = features_by_mode;
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result["loras"] = available_loras;
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result["upscalers"] = available_upscalers;
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return result;
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}
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@@ -307,7 +337,7 @@ static bool parse_img_gen_request(const json& body,
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return false;
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}
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// Intentionally disable prompt-embedded LoRA tag parsing for server APIs.
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if (!request.gen_params.resolve_and_validate(IMG_GEN, "", true)) {
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if (!request.gen_params.resolve_and_validate(IMG_GEN, "", runtime.ctx_params->hires_upscalers_dir, true)) {
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error_message = "invalid generation parameters";
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return false;
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}
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@@ -334,7 +364,7 @@ static bool parse_vid_gen_request(const json& body,
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return false;
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}
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// Intentionally disable prompt-embedded LoRA tag parsing for server APIs.
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if (!request.gen_params.resolve_and_validate(VID_GEN, "", true)) {
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if (!request.gen_params.resolve_and_validate(VID_GEN, "", runtime.ctx_params->hires_upscalers_dir, true)) {
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error_message = "invalid generation parameters";
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return false;
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}
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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())
|
||||
|
||||
@@ -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();
|
||||
Reference in new issue
Block a user