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https://github.com/leejet/stable-diffusion.cpp.git
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675208dcb6 | ||
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d7f430cd69 | ||
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141a4b4113 |
@@ -142,7 +142,7 @@ add_subdirectory(thirdparty)
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target_link_libraries(${SD_LIB} PUBLIC ggml zip)
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target_include_directories(${SD_LIB} PUBLIC . thirdparty)
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target_compile_features(${SD_LIB} PUBLIC cxx_std_11)
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target_compile_features(${SD_LIB} PUBLIC c_std_11 cxx_std_17)
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if (SD_BUILD_EXAMPLES)
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10
README.md
10
README.md
@@ -7,7 +7,7 @@
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Diffusion model(SD,Flux,Wan,...) inference in pure C/C++
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***Note that this project is under active development. \
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API and command-line parameters may change frequently.***
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API and command-line option may change frequently.***
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## Features
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@@ -290,9 +290,10 @@ usage: ./bin/sd [arguments]
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arguments:
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-h, --help show this help message and exit
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-M, --mode [MODE] run mode, one of: [img_gen, convert], default: img_gen
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-M, --mode [MODE] run mode, one of: [img_gen, vid_gen, convert], default: img_gen
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-t, --threads N number of threads to use during computation (default: -1)
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If threads <= 0, then threads will be set to the number of CPU physical cores
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--offload-to-cpu place the weights in RAM to save VRAM, and automatically load them into VRAM when needed
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-m, --model [MODEL] path to full model
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--diffusion-model path to the standalone diffusion model
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--high-noise-diffusion-model path to the standalone high noise diffusion model
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@@ -346,7 +347,7 @@ arguments:
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--high-noise-scheduler {discrete, karras, exponential, ays, gits} Denoiser sigma scheduler (default: discrete)
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--high-noise-sampling-method {euler, euler_a, heun, dpm2, dpm++2s_a, dpm++2m, dpm++2mv2, ipndm, ipndm_v, lcm, ddim_trailing, tcd}
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(high noise) sampling method (default: "euler_a")
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--high-noise-steps STEPS (high noise) number of sample steps (default: 20)
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--high-noise-steps STEPS (high noise) number of sample steps (default: -1 = auto)
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SLG will be enabled at step int([STEPS]*[START]) and disabled at int([STEPS]*[END])
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--strength STRENGTH strength for noising/unnoising (default: 0.75)
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--style-ratio STYLE-RATIO strength for keeping input identity (default: 20)
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@@ -377,6 +378,9 @@ arguments:
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--chroma-t5-mask-pad PAD_SIZE t5 mask pad size of chroma
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--video-frames video frames (default: 1)
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--fps fps (default: 24)
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--moe-boundary BOUNDARY timestep boundary for Wan2.2 MoE model. (default: 0.875)
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only enabled if `--high-noise-steps` is set to -1
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--flow-shift SHIFT shift value for Flow models like SD3.x or WAN (default: auto)
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-v, --verbose print extra info
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```
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@@ -382,7 +382,8 @@ struct DiscreteFlowDenoiser : public Denoiser {
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float sigma_data = 1.0f;
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DiscreteFlowDenoiser() {
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DiscreteFlowDenoiser(float shift = 3.0f)
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: shift(shift) {
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set_parameters();
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}
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@@ -43,8 +43,6 @@
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## Examples
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Since GitHub does not support AVI files, the file I uploaded was converted from AVI to MP4.
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### Wan2.1 T2V 1.3B
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```
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@@ -3,4 +3,4 @@ set(TARGET sd)
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add_executable(${TARGET} main.cpp)
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install(TARGETS ${TARGET} RUNTIME)
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target_link_libraries(${TARGET} PRIVATE stable-diffusion ${CMAKE_THREAD_LIBS_INIT})
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target_compile_features(${TARGET} PUBLIC cxx_std_11)
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target_compile_features(${TARGET} PUBLIC c_std_11 cxx_std_17)
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@@ -115,6 +115,7 @@ struct SDParams {
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bool chroma_use_dit_mask = true;
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bool chroma_use_t5_mask = false;
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int chroma_t5_mask_pad = 1;
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float flow_shift = INFINITY;
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SDParams() {
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sd_sample_params_init(&sample_params);
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@@ -171,6 +172,7 @@ void print_params(SDParams params) {
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printf(" sample_params: %s\n", SAFE_STR(sample_params_str));
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printf(" high_noise_sample_params: %s\n", SAFE_STR(high_noise_sample_params_str));
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printf(" moe_boundary: %.3f\n", params.moe_boundary);
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printf(" flow_shift: %.2f\n", params.flow_shift);
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printf(" strength(img2img): %.2f\n", params.strength);
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printf(" rng: %s\n", sd_rng_type_name(params.rng_type));
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printf(" seed: %ld\n", params.seed);
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@@ -191,9 +193,10 @@ void print_usage(int argc, const char* argv[]) {
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printf("\n");
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printf("arguments:\n");
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printf(" -h, --help show this help message and exit\n");
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printf(" -M, --mode [MODE] run mode, one of: [img_gen, convert], default: img_gen\n");
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printf(" -M, --mode [MODE] run mode, one of: [img_gen, vid_gen, convert], default: img_gen\n");
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printf(" -t, --threads N number of threads to use during computation (default: -1)\n");
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printf(" If threads <= 0, then threads will be set to the number of CPU physical cores\n");
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printf(" --offload-to-cpu place the weights in RAM to save VRAM, and automatically load them into VRAM when needed\n");
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printf(" -m, --model [MODEL] path to full model\n");
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printf(" --diffusion-model path to the standalone diffusion model\n");
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printf(" --high-noise-diffusion-model path to the standalone high noise diffusion model\n");
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@@ -278,8 +281,9 @@ void print_usage(int argc, const char* argv[]) {
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printf(" --chroma-t5-mask-pad PAD_SIZE t5 mask pad size of chroma\n");
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printf(" --video-frames video frames (default: 1)\n");
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printf(" --fps fps (default: 24)\n");
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printf(" --moe-boundary BOUNDARY Timestep boundary for Wan2.2 MoE model. (default: 0.875)\n");
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printf(" Only enabled if `--high-noise-steps` is set to -1\n");
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printf(" --moe-boundary BOUNDARY timestep boundary for Wan2.2 MoE model. (default: 0.875)\n");
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printf(" only enabled if `--high-noise-steps` is set to -1\n");
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printf(" --flow-shift SHIFT shift value for Flow models like SD3.x or WAN (default: auto)\n");
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printf(" -v, --verbose print extra info\n");
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}
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@@ -514,6 +518,7 @@ void parse_args(int argc, const char** argv, SDParams& params) {
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{"", "--style-ratio", "", ¶ms.style_ratio},
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{"", "--control-strength", "", ¶ms.control_strength},
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{"", "--moe-boundary", "", ¶ms.moe_boundary},
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{"", "--flow-shift", "", ¶ms.flow_shift},
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};
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options.bool_options = {
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@@ -1181,6 +1186,7 @@ int main(int argc, const char* argv[]) {
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params.chroma_use_dit_mask,
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params.chroma_use_t5_mask,
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params.chroma_t5_mask_pad,
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params.flow_shift,
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};
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sd_ctx_t* sd_ctx = new_sd_ctx(&sd_ctx_params);
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@@ -681,7 +681,11 @@ public:
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if (sd_version_is_sd3(version)) {
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LOG_INFO("running in FLOW mode");
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denoiser = std::make_shared<DiscreteFlowDenoiser>();
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float shift = sd_ctx_params->flow_shift;
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if (shift == INFINITY) {
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shift = 3.0;
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}
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denoiser = std::make_shared<DiscreteFlowDenoiser>(shift);
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} else if (sd_version_is_flux(version)) {
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LOG_INFO("running in Flux FLOW mode");
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float shift = 1.0f; // TODO: validate
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@@ -694,7 +698,11 @@ public:
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denoiser = std::make_shared<FluxFlowDenoiser>(shift);
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} else if (sd_version_is_wan(version)) {
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LOG_INFO("running in FLOW mode");
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denoiser = std::make_shared<DiscreteFlowDenoiser>();
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float shift = sd_ctx_params->flow_shift;
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if (shift == INFINITY) {
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shift = 5.0;
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}
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denoiser = std::make_shared<DiscreteFlowDenoiser>(shift);
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} else if (is_using_v_parameterization) {
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LOG_INFO("running in v-prediction mode");
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denoiser = std::make_shared<CompVisVDenoiser>();
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@@ -1553,6 +1561,7 @@ void sd_ctx_params_init(sd_ctx_params_t* sd_ctx_params) {
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sd_ctx_params->chroma_use_dit_mask = true;
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sd_ctx_params->chroma_use_t5_mask = false;
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sd_ctx_params->chroma_t5_mask_pad = 1;
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sd_ctx_params->flow_shift = INFINITY;
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}
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char* sd_ctx_params_to_str(const sd_ctx_params_t* sd_ctx_params) {
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@@ -142,6 +142,7 @@ typedef struct {
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bool chroma_use_dit_mask;
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bool chroma_use_t5_mask;
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int chroma_t5_mask_pad;
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float flow_shift;
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} sd_ctx_params_t;
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typedef struct {
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