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feat(backend): add stablediffusion-ggml (#4289)
* feat(backend): add stablediffusion-ggml Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * chore(ci): track stablediffusion-ggml Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fixups Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Use default scheduler and sampler if not specified Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fixups Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Move cfg scale out of diffusers block Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Make it working Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix: set free_params_immediately to false to call the model in sequence https://github.com/leejet/stable-diffusion.cpp/issues/366 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
This commit is contained in:
Ettore Di Giacinto
GitHub
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commit
44a5dac312
12 changed files with 437 additions and 21 deletions
21
backend/go/image/stablediffusion-ggml/Makefile
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21
backend/go/image/stablediffusion-ggml/Makefile
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@ -0,0 +1,21 @@
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INCLUDE_PATH := $(abspath ./)
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LIBRARY_PATH := $(abspath ./)
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AR?=ar
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BUILD_TYPE?=
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# keep standard at C11 and C++11
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CXXFLAGS = -I. -I$(INCLUDE_PATH)/../../../../sources/stablediffusion-ggml.cpp/thirdparty -I$(INCLUDE_PATH)/../../../../sources/stablediffusion-ggml.cpp/ggml/include -I$(INCLUDE_PATH)/../../../../sources/stablediffusion-ggml.cpp -O3 -DNDEBUG -std=c++17 -fPIC
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# warnings
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CXXFLAGS += -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function
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gosd.o:
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$(CXX) $(CXXFLAGS) gosd.cpp -o gosd.o -c
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libsd.a: gosd.o
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cp $(INCLUDE_PATH)/../../../../sources/stablediffusion-ggml.cpp/build/libstable-diffusion.a ./libsd.a
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$(AR) rcs libsd.a gosd.o
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clean:
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rm -f gosd.o libsd.a
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228
backend/go/image/stablediffusion-ggml/gosd.cpp
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228
backend/go/image/stablediffusion-ggml/gosd.cpp
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#include <stdio.h>
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#include <string.h>
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#include <time.h>
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#include <iostream>
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#include <random>
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#include <string>
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#include <vector>
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#include "gosd.h"
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// #include "preprocessing.hpp"
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#include "flux.hpp"
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#include "stable-diffusion.h"
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#define STB_IMAGE_IMPLEMENTATION
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#define STB_IMAGE_STATIC
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#include "stb_image.h"
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#define STB_IMAGE_WRITE_IMPLEMENTATION
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#define STB_IMAGE_WRITE_STATIC
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#include "stb_image_write.h"
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#define STB_IMAGE_RESIZE_IMPLEMENTATION
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#define STB_IMAGE_RESIZE_STATIC
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#include "stb_image_resize.h"
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// Names of the sampler method, same order as enum sample_method in stable-diffusion.h
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const char* sample_method_str[] = {
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"euler_a",
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"euler",
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"heun",
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"dpm2",
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"dpm++2s_a",
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"dpm++2m",
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"dpm++2mv2",
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"ipndm",
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"ipndm_v",
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"lcm",
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};
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// Names of the sigma schedule overrides, same order as sample_schedule in stable-diffusion.h
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const char* schedule_str[] = {
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"default",
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"discrete",
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"karras",
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"exponential",
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"ays",
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"gits",
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};
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sd_ctx_t* sd_c;
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sample_method_t sample_method;
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int load_model(char *model, char* options[], int threads, int diff) {
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fprintf (stderr, "Loading model!\n");
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char *stableDiffusionModel = "";
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if (diff == 1 ) {
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stableDiffusionModel = model;
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model = "";
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}
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// decode options. Options are in form optname:optvale, or if booleans only optname.
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char *clip_l_path = "";
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char *clip_g_path = "";
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char *t5xxl_path = "";
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char *vae_path = "";
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char *scheduler = "";
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char *sampler = "";
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// If options is not NULL, parse options
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for (int i = 0; options[i] != NULL; i++) {
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char *optname = strtok(options[i], ":");
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char *optval = strtok(NULL, ":");
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if (optval == NULL) {
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optval = "true";
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}
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if (!strcmp(optname, "clip_l_path")) {
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clip_l_path = optval;
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}
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if (!strcmp(optname, "clip_g_path")) {
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clip_g_path = optval;
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}
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if (!strcmp(optname, "t5xxl_path")) {
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t5xxl_path = optval;
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}
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if (!strcmp(optname, "vae_path")) {
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vae_path = optval;
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}
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if (!strcmp(optname, "scheduler")) {
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scheduler = optval;
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}
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if (!strcmp(optname, "sampler")) {
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sampler = optval;
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}
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}
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int sample_method_found = -1;
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for (int m = 0; m < N_SAMPLE_METHODS; m++) {
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if (!strcmp(sampler, sample_method_str[m])) {
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sample_method_found = m;
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}
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}
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if (sample_method_found == -1) {
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fprintf(stderr, "Invalid sample method, default to EULER_A!\n");
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sample_method_found = EULER_A;
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}
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sample_method = (sample_method_t)sample_method_found;
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int schedule_found = -1;
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for (int d = 0; d < N_SCHEDULES; d++) {
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if (!strcmp(scheduler, schedule_str[d])) {
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schedule_found = d;
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fprintf (stderr, "Found scheduler: %s\n", scheduler);
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}
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}
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if (schedule_found == -1) {
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fprintf (stderr, "Invalid scheduler! using DEFAULT\n");
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schedule_found = DEFAULT;
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}
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schedule_t schedule = (schedule_t)schedule_found;
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fprintf (stderr, "Creating context\n");
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sd_ctx_t* sd_ctx = new_sd_ctx(model,
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clip_l_path,
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clip_g_path,
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t5xxl_path,
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stableDiffusionModel,
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vae_path,
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"",
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"",
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"",
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"",
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"",
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false,
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false,
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false,
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threads,
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SD_TYPE_COUNT,
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STD_DEFAULT_RNG,
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schedule,
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false,
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false,
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false,
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false);
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if (sd_ctx == NULL) {
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fprintf (stderr, "failed loading model (generic error)\n");
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return 1;
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}
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fprintf (stderr, "Created context: OK\n");
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sd_c = sd_ctx;
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return 0;
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}
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int gen_image(char *text, char *negativeText, int width, int height, int steps, int seed , char *dst, float cfg_scale) {
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sd_image_t* results;
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std::vector<int> skip_layers = {7, 8, 9};
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fprintf (stderr, "Generating image\n");
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results = txt2img(sd_c,
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text,
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negativeText,
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-1, //clip_skip
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cfg_scale, // sfg_scale
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3.5f,
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width,
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height,
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sample_method,
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steps,
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seed,
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1,
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NULL,
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0.9f,
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20.f,
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false,
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"",
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skip_layers.data(),
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skip_layers.size(),
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0,
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0.01,
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0.2);
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if (results == NULL) {
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fprintf (stderr, "NO results\n");
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return 1;
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}
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if (results[0].data == NULL) {
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fprintf (stderr, "Results with no data\n");
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return 1;
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}
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fprintf (stderr, "Writing PNG\n");
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fprintf (stderr, "DST: %s\n", dst);
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fprintf (stderr, "Width: %d\n", results[0].width);
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fprintf (stderr, "Height: %d\n", results[0].height);
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fprintf (stderr, "Channel: %d\n", results[0].channel);
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fprintf (stderr, "Data: %p\n", results[0].data);
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stbi_write_png(dst, results[0].width, results[0].height, results[0].channel,
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results[0].data, 0, NULL);
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fprintf (stderr, "Saved resulting image to '%s'\n", dst);
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// TODO: free results. Why does it crash?
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free(results[0].data);
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results[0].data = NULL;
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free(results);
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fprintf (stderr, "gen_image is done", dst);
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return 0;
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}
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int unload() {
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free_sd_ctx(sd_c);
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}
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96
backend/go/image/stablediffusion-ggml/gosd.go
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96
backend/go/image/stablediffusion-ggml/gosd.go
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@ -0,0 +1,96 @@
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package main
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// #cgo CXXFLAGS: -I${SRCDIR}/../../../../sources/stablediffusion-ggml.cpp/thirdparty -I${SRCDIR}/../../../../sources/stablediffusion-ggml.cpp -I${SRCDIR}/../../../../sources/stablediffusion-ggml.cpp/ggml/include
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// #cgo LDFLAGS: -L${SRCDIR}/ -L${SRCDIR}/../../../../sources/stablediffusion-ggml.cpp/build/ggml/src/ggml-cpu -L${SRCDIR}/../../../../sources/stablediffusion-ggml.cpp/build/ggml/src -lsd -lstdc++ -lm -lggml -lggml-base -lggml-cpu -lgomp
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// #include <gosd.h>
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// #include <stdlib.h>
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import "C"
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import (
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"fmt"
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"os"
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"path/filepath"
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"strings"
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"unsafe"
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"github.com/mudler/LocalAI/pkg/grpc/base"
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pb "github.com/mudler/LocalAI/pkg/grpc/proto"
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"github.com/mudler/LocalAI/pkg/utils"
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)
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type SDGGML struct {
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base.SingleThread
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threads int
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sampleMethod string
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cfgScale float32
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}
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func (sd *SDGGML) Load(opts *pb.ModelOptions) error {
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sd.threads = int(opts.Threads)
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modelFile := C.CString(opts.ModelFile)
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defer C.free(unsafe.Pointer(modelFile))
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var options **C.char
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// prepare the options array to pass to C
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size := C.size_t(unsafe.Sizeof((*C.char)(nil)))
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length := C.size_t(len(opts.Options))
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options = (**C.char)(C.malloc(length * size))
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view := (*[1 << 30]*C.char)(unsafe.Pointer(options))[0:len(opts.Options):len(opts.Options)]
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var diffusionModel int
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var oo []string
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for _, op := range opts.Options {
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if op == "diffusion_model" {
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diffusionModel = 1
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continue
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}
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// If it's an option path, we resolve absolute path from the model path
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if strings.Contains(op, ":") && strings.Contains(op, "path") {
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data := strings.Split(op, ":")
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data[1] = filepath.Join(opts.ModelPath, data[1])
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if err := utils.VerifyPath(data[1], opts.ModelPath); err == nil {
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oo = append(oo, strings.Join(data, ":"))
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}
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} else {
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oo = append(oo, op)
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}
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}
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fmt.Fprintf(os.Stderr, "Options: %+v\n", oo)
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for i, x := range oo {
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view[i] = C.CString(x)
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}
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sd.cfgScale = opts.CFGScale
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ret := C.load_model(modelFile, options, C.int(opts.Threads), C.int(diffusionModel))
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if ret != 0 {
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return fmt.Errorf("could not load model")
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}
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return nil
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}
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func (sd *SDGGML) GenerateImage(opts *pb.GenerateImageRequest) error {
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t := C.CString(opts.PositivePrompt)
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defer C.free(unsafe.Pointer(t))
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dst := C.CString(opts.Dst)
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defer C.free(unsafe.Pointer(dst))
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negative := C.CString(opts.NegativePrompt)
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defer C.free(unsafe.Pointer(negative))
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ret := C.gen_image(t, negative, C.int(opts.Width), C.int(opts.Height), C.int(opts.Step), C.int(opts.Seed), dst, C.float(sd.cfgScale))
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if ret != 0 {
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return fmt.Errorf("inference failed")
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}
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return nil
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}
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8
backend/go/image/stablediffusion-ggml/gosd.h
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8
backend/go/image/stablediffusion-ggml/gosd.h
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#ifdef __cplusplus
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extern "C" {
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#endif
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int load_model(char *model, char* options[], int threads, int diffusionModel);
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int gen_image(char *text, char *negativeText, int width, int height, int steps, int seed, char *dst, float cfg_scale);
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#ifdef __cplusplus
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}
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#endif
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20
backend/go/image/stablediffusion-ggml/main.go
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20
backend/go/image/stablediffusion-ggml/main.go
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package main
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// Note: this is started internally by LocalAI and a server is allocated for each model
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import (
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"flag"
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grpc "github.com/mudler/LocalAI/pkg/grpc"
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)
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var (
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addr = flag.String("addr", "localhost:50051", "the address to connect to")
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)
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func main() {
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flag.Parse()
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if err := grpc.StartServer(*addr, &SDGGML{}); err != nil {
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panic(err)
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}
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}
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