feat: Server: Add support for previews via sdcpp API (#2093)

Co-authored-by: leejet <leejet714@gmail.com>
This commit is contained in:
stduhpf
2026-10-06 19:20:02 +08:00
committed by GitHub
co-authored by leejet
parent 203a882a28
commit 96f67fe631
9 changed files with 151 additions and 7 deletions
+31
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@@ -410,6 +410,20 @@ Field types:
| `queue_position` | `integer` |
| `result` | `object \| null` |
| `error` | `object \| null` |
| `preview` | `object \| null` |
`preview` sub-fields:
| Field | Type | Notes |
| --- | --- | --- |
| `preview.pass` | `integer` | Sampling pass number, starting at 1 within the job |
| `preview.step` | `integer` | Positive logical sample step within this pass |
| `preview.total_steps` | `integer` | Actual sample steps in this pass, after schedule and strength adjustments |
| `preview.b64_json` | `string` | Base64-encoded PNG of the current preview frame |
The preview is updated in place as sampling progresses; poll `GET /sdcpp/v1/jobs/{id}` to retrieve the latest frame. Only the most recent preview is retained.
`step / total_steps` describes the current sampling pass, not overall job completion. A new batch item, high/low-noise stage, or highres pass increments `pass` and restarts `step`. Samplers with multiple denoiser evaluations per logical step may update a preview more than once at the same step. The frame and its pass/step metadata are published together.
### Endpoints
@@ -437,6 +451,7 @@ Top-level fields:
| `loras` | `array<object>` | Available LoRA entries |
| `upscalers` | `array<object>` | Available highres upscalers, built-in and model-backed |
| `upscale` | `boolean` | Whether a compatible RGB ESRGAN model is available for `POST /sdcpp/v1/upscale` |
| `preview_modes` | `array<string>` | Available preview modes, e.g. `["none", "proj", "tae", "vae"]` |
| `limits` | `object` | Shared queue and size limits |
`model`
@@ -598,6 +613,7 @@ Fields returned in `features_by_mode.img_gen`:
- `cache`
- `cancel_queued`
- `cancel_generating`
- `preview`
Fields returned in `features_by_mode.vid_gen`:
@@ -610,6 +626,7 @@ Fields returned in `features_by_mode.vid_gen`:
- `cache`
- `cancel_queued`
- `cancel_generating`
- `preview`
#### `POST /sdcpp/v1/img_gen`
@@ -782,6 +799,9 @@ Example:
"scm_mask": "",
"scm_policy_dynamic": true,
"preview": "none",
"preview_interval": 1,
"output_format": "png",
"output_compression": 100
}
@@ -847,6 +867,8 @@ Top-level scalar fields:
| `control_strength` | `number` |
| `ip_adapter_strength` | `number` |
| `embed_image_metadata` | `boolean` |
| `preview` | `string` |
| `preview_interval` | `integer` |
Image fields:
@@ -934,6 +956,10 @@ When omitted, backend defaults apply to these fields:
- `sample_params.flow_shift`
- `sample_params.guidance.img_cfg`
### Preview Interval Semantics
`preview_interval` controls the period (in sample steps) at which preview frames are generated. The default is `1` (every step). Any non-positive values will be clamped to `1`. Note that if `preview` is set to `"none"`, no previews are produced regardless of the interval.
### Completion Result
Example completed job:
@@ -1130,6 +1156,9 @@ Example:
"scm_mask": "",
"scm_policy_dynamic": true,
"preview": "none",
"preview_interval": 1,
"output_format": "webm",
"output_compression": 100
}
@@ -1181,6 +1210,8 @@ Top-level scalar fields:
| `fps` | `integer` |
| `moe_boundary` | `number` |
| `vace_strength` | `number` |
| `preview` | `string` |
| `preview_interval` | `integer` |
Image and frame fields:
+65
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@@ -10,6 +10,55 @@
#include "common/media_io.h"
#include "common/resource_owners.hpp"
static void preview_callback(int step, int frame_count, sd_image_t* frames, bool is_noisy, void* data) {
(void)is_noisy;
if (frame_count <= 0 || frames == nullptr || frames[0].data == nullptr) {
return;
}
AsyncGenerationJob* job = static_cast<AsyncGenerationJob*>(data);
const sd_image_t& frame = frames[0];
const sd_preview_info_t info = sd_get_preview_info();
auto image_bytes = encode_image_to_vector(EncodedImageFormat::PNG,
frame.data,
frame.width,
frame.height,
frame.channel,
"",
80);
if (image_bytes.empty()) {
return;
}
std::string b64 = base64_encode(image_bytes);
std::lock_guard<std::mutex> lock(job->preview_mutex);
job->preview_b64 = std::move(b64);
job->preview_step = step < 0 ? -step : step;
job->preview_pass = info.sample_pass;
job->preview_total_steps = info.total_steps;
}
static void clear_preview_callback() {
sd_set_preview_callback(nullptr, PREVIEW_NONE, 1, false, false, nullptr);
}
static void set_preview_callback(AsyncGenerationJob& job) {
preview_t mode = str_to_preview(job.kind == AsyncJobKind::ImgGen
? job.img_gen.preview_mode.c_str()
: job.vid_gen.preview_mode.c_str());
if (mode == PREVIEW_COUNT || mode == PREVIEW_NONE) {
return;
}
int interval = job.kind == AsyncJobKind::ImgGen
? job.img_gen.preview_interval
: job.vid_gen.preview_interval;
if (interval <= 0) {
interval = 1;
}
sd_set_preview_callback(preview_callback, mode, interval, true, false, &job);
}
const char* async_job_kind_name(AsyncJobKind kind) {
switch (kind) {
case AsyncJobKind::ImgGen:
@@ -161,6 +210,18 @@ json make_async_job_json(const AsyncJobManager& manager, const AsyncGenerationJo
result["error"] = nullptr;
}
if (job.status == AsyncJobStatus::Generating) {
std::lock_guard<std::mutex> lock(job.preview_mutex);
if (!job.preview_b64.empty()) {
result["preview"] = {
{"pass", job.preview_pass},
{"step", job.preview_step},
{"total_steps", job.preview_total_steps},
{"b64_json", job.preview_b64},
};
}
}
return result;
}
@@ -174,12 +235,14 @@ bool execute_img_gen_job(ServerRuntime& runtime,
{
std::lock_guard<std::mutex> lock(*runtime.sd_ctx_mutex);
set_preview_callback(job);
sd_image_t* raw_results = nullptr;
int num_results = 0;
if (!generate_image(runtime.sd_ctx, &params, &raw_results, &num_results)) {
raw_results = nullptr;
num_results = 0;
}
clear_preview_callback();
results.adopt(raw_results, num_results);
}
@@ -247,10 +310,12 @@ bool execute_vid_gen_job(ServerRuntime& runtime,
{
std::lock_guard<std::mutex> lock(*runtime.sd_ctx_mutex);
set_preview_callback(job);
sd_image_t* raw_results = nullptr;
if (!generate_video(runtime.sd_ctx, &params, &raw_results, &num_results, &generated_audio, &output_fps)) {
raw_results = nullptr;
}
clear_preview_callback();
results.adopt(raw_results, num_results);
}
+5
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@@ -44,6 +44,11 @@ struct AsyncGenerationJob {
int result_fps = 0;
std::string error_code;
std::string error_message;
mutable std::mutex preview_mutex;
std::string preview_b64;
int preview_pass = 0;
int preview_step = 0;
int preview_total_steps = 0;
};
struct AsyncJobManager {
+15
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@@ -205,6 +205,7 @@ static json make_img_gen_features_json() {
{"cache", true},
{"cancel_queued", true},
{"cancel_generating", false},
{"preview", true},
};
}
@@ -219,9 +220,18 @@ static json make_vid_gen_features_json() {
{"cache", true},
{"cancel_queued", true},
{"cancel_generating", false},
{"preview", true},
};
}
static json make_preview_modes_json() {
json modes = json::array();
for (int i = 0; i < PREVIEW_COUNT; ++i) {
modes.push_back(sd_preview_name((preview_t)i));
}
return modes;
}
static json make_capabilities_json(ServerRuntime& runtime) {
refresh_lora_cache(runtime);
refresh_upscaler_cache(runtime);
@@ -396,6 +406,7 @@ static json make_capabilities_json(ServerRuntime& runtime) {
result["loras"] = available_loras;
result["upscalers"] = available_upscalers;
result["upscale"] = have_upscaler_models;
result["preview_modes"] = make_preview_modes_json();
return result;
}
@@ -418,6 +429,8 @@ static bool parse_img_gen_request(const json& body,
if (!assign_output_options(request, output_format, output_compression, true, error_message)) {
return false;
}
request.preview_mode = body.value("preview", std::string("none"));
request.preview_interval = body.value("preview_interval", 1);
// Intentionally disable prompt-embedded LoRA tag parsing for server APIs.
if (!request.gen_params.resolve_and_validate(IMG_GEN, "", runtime.ctx_params->hires_upscalers_dir, true)) {
error_message = "invalid generation parameters";
@@ -445,6 +458,8 @@ static bool parse_vid_gen_request(const json& body,
if (!assign_output_options(request, output_format, output_compression, error_message)) {
return false;
}
request.preview_mode = body.value("preview", std::string("none"));
request.preview_interval = body.value("preview_interval", 1);
// Intentionally disable prompt-embedded LoRA tag parsing for server APIs.
if (!request.gen_params.resolve_and_validate(VID_GEN, "", runtime.ctx_params->hires_upscalers_dir, true)) {
error_message = "invalid generation parameters";
+4
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@@ -66,6 +66,8 @@ struct ImgGenJobRequest {
SDGenerationParams gen_params;
std::string output_format = "png";
int output_compression = 100;
std::string preview_mode = "none";
int preview_interval = 1;
sd_img_gen_params_t to_sd_img_gen_params_t() {
return gen_params.to_sd_img_gen_params_t();
@@ -76,6 +78,8 @@ struct VidGenJobRequest {
SDGenerationParams gen_params;
std::string output_format = "webm";
int output_compression = 100;
std::string preview_mode = "none";
int preview_interval = 1;
sd_vid_gen_params_t to_sd_vid_gen_params_t() {
return gen_params.to_sd_vid_gen_params_t();
+9
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@@ -461,6 +461,11 @@ struct ggml_tensor;
typedef void (*sd_log_cb_t)(enum sd_log_level_t level, const char* text, void* data);
typedef void (*sd_progress_cb_t)(int step, int steps, float time, void* data);
typedef void (*sd_preview_cb_t)(int step, int frame_count, sd_image_t* frames, bool is_noisy, void* data);
typedef struct {
int sample_pass;
int total_steps;
} sd_preview_info_t;
typedef bool (*sd_graph_eval_callback_t)(struct ggml_tensor* t, bool ask, void* user_data);
SD_API void sd_set_log_callback(sd_log_cb_t sd_log_cb, void* data);
@@ -469,6 +474,10 @@ SD_API void sd_set_progress_callback(sd_progress_cb_t cb, void* data);
// negative interval previews only completed logical step -interval. Zero previews the final
// completed step of the first sampling pass (base-resolution or high-noise).
SD_API void sd_set_preview_callback(sd_preview_cb_t cb, enum preview_t mode, int interval, bool denoised, bool noisy, void* data);
// Query from a preview callback. Passes are numbered from 1 since the last
// sd_set_preview_callback call; total_steps is the actual count in that pass.
// Both fields are zero before sampling starts.
SD_API sd_preview_info_t sd_get_preview_info();
SD_API void sd_set_backend_eval_callback(sd_graph_eval_callback_t cb, void* data);
SD_API int32_t sd_get_num_physical_cores();
SD_API const char* sd_get_system_info();
+19 -6
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@@ -360,12 +360,13 @@ int32_t sd_get_num_physical_cores() {
static sd_progress_cb_t sd_progress_cb = nullptr;
void* sd_progress_cb_data = nullptr;
static sd_preview_cb_t sd_preview_cb = nullptr;
static void* sd_preview_cb_data = nullptr;
preview_t sd_preview_mode = PREVIEW_NONE;
int sd_preview_interval = 1;
bool sd_preview_denoised = true;
bool sd_preview_noisy = false;
static sd_preview_info_t sd_preview_info = {};
static sd_preview_cb_t sd_preview_cb = nullptr;
static void* sd_preview_cb_data = nullptr;
preview_t sd_preview_mode = PREVIEW_NONE;
int sd_preview_interval = 1;
bool sd_preview_denoised = true;
bool sd_preview_noisy = false;
static sd_graph_eval_callback_t sd_backend_eval_cb = nullptr;
static void* sd_backend_eval_cb_data = nullptr;
@@ -696,6 +697,7 @@ void sd_set_progress_callback(sd_progress_cb_t cb, void* data) {
sd_progress_cb_data = data;
}
void sd_set_preview_callback(sd_preview_cb_t cb, preview_t mode, int interval, bool denoised, bool noisy, void* data) {
sd_preview_info = {};
sd_preview_cb = cb;
sd_preview_cb_data = data;
sd_preview_mode = mode;
@@ -709,6 +711,17 @@ void sd_set_backend_eval_callback(sd_graph_eval_callback_t cb, void* data) {
sd_backend_eval_cb_data = data;
}
void sd_begin_preview_pass(int total_steps) {
if (sd_preview_cb != nullptr) {
++sd_preview_info.sample_pass;
sd_preview_info.total_steps = total_steps;
}
}
sd_preview_info_t sd_get_preview_info() {
return sd_preview_info;
}
sd_preview_cb_t sd_get_preview_callback() {
return sd_preview_cb;
}
+1
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@@ -101,6 +101,7 @@ std::vector<std::pair<std::string, float>> split_quotation_attention(
sd_progress_cb_t sd_get_progress_callback();
void* sd_get_progress_callback_data();
void sd_begin_preview_pass(int total_steps);
sd_preview_cb_t sd_get_preview_callback();
void* sd_get_preview_callback_data();
preview_t sd_get_preview_mode();
+2 -1
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@@ -2373,7 +2373,8 @@ sd::Tensor<float> StableDiffusionGGML::sample(const std::shared_ptr<DiffusionMod
noise *= eta;
}
int64_t last_progress_us = ggml_time_us();
int64_t last_progress_us = ggml_time_us();
sd_begin_preview_pass(static_cast<int>(steps));
SamplePreviewContext preview = prepare_sample_preview_context();
sd::Tensor<float> processed_init_latent = denoiser->process_latent_in(init_latent);