LocalAI/backend/go/image/stablediffusion-ggml/gosd.cpp
Ettore Di Giacinto 44a5dac312
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>
2024-12-03 22:41:22 +01:00

229 lines
6.2 KiB
C++

#include <stdio.h>
#include <string.h>
#include <time.h>
#include <iostream>
#include <random>
#include <string>
#include <vector>
#include "gosd.h"
// #include "preprocessing.hpp"
#include "flux.hpp"
#include "stable-diffusion.h"
#define STB_IMAGE_IMPLEMENTATION
#define STB_IMAGE_STATIC
#include "stb_image.h"
#define STB_IMAGE_WRITE_IMPLEMENTATION
#define STB_IMAGE_WRITE_STATIC
#include "stb_image_write.h"
#define STB_IMAGE_RESIZE_IMPLEMENTATION
#define STB_IMAGE_RESIZE_STATIC
#include "stb_image_resize.h"
// Names of the sampler method, same order as enum sample_method in stable-diffusion.h
const char* sample_method_str[] = {
"euler_a",
"euler",
"heun",
"dpm2",
"dpm++2s_a",
"dpm++2m",
"dpm++2mv2",
"ipndm",
"ipndm_v",
"lcm",
};
// Names of the sigma schedule overrides, same order as sample_schedule in stable-diffusion.h
const char* schedule_str[] = {
"default",
"discrete",
"karras",
"exponential",
"ays",
"gits",
};
sd_ctx_t* sd_c;
sample_method_t sample_method;
int load_model(char *model, char* options[], int threads, int diff) {
fprintf (stderr, "Loading model!\n");
char *stableDiffusionModel = "";
if (diff == 1 ) {
stableDiffusionModel = model;
model = "";
}
// decode options. Options are in form optname:optvale, or if booleans only optname.
char *clip_l_path = "";
char *clip_g_path = "";
char *t5xxl_path = "";
char *vae_path = "";
char *scheduler = "";
char *sampler = "";
// If options is not NULL, parse options
for (int i = 0; options[i] != NULL; i++) {
char *optname = strtok(options[i], ":");
char *optval = strtok(NULL, ":");
if (optval == NULL) {
optval = "true";
}
if (!strcmp(optname, "clip_l_path")) {
clip_l_path = optval;
}
if (!strcmp(optname, "clip_g_path")) {
clip_g_path = optval;
}
if (!strcmp(optname, "t5xxl_path")) {
t5xxl_path = optval;
}
if (!strcmp(optname, "vae_path")) {
vae_path = optval;
}
if (!strcmp(optname, "scheduler")) {
scheduler = optval;
}
if (!strcmp(optname, "sampler")) {
sampler = optval;
}
}
int sample_method_found = -1;
for (int m = 0; m < N_SAMPLE_METHODS; m++) {
if (!strcmp(sampler, sample_method_str[m])) {
sample_method_found = m;
}
}
if (sample_method_found == -1) {
fprintf(stderr, "Invalid sample method, default to EULER_A!\n");
sample_method_found = EULER_A;
}
sample_method = (sample_method_t)sample_method_found;
int schedule_found = -1;
for (int d = 0; d < N_SCHEDULES; d++) {
if (!strcmp(scheduler, schedule_str[d])) {
schedule_found = d;
fprintf (stderr, "Found scheduler: %s\n", scheduler);
}
}
if (schedule_found == -1) {
fprintf (stderr, "Invalid scheduler! using DEFAULT\n");
schedule_found = DEFAULT;
}
schedule_t schedule = (schedule_t)schedule_found;
fprintf (stderr, "Creating context\n");
sd_ctx_t* sd_ctx = new_sd_ctx(model,
clip_l_path,
clip_g_path,
t5xxl_path,
stableDiffusionModel,
vae_path,
"",
"",
"",
"",
"",
false,
false,
false,
threads,
SD_TYPE_COUNT,
STD_DEFAULT_RNG,
schedule,
false,
false,
false,
false);
if (sd_ctx == NULL) {
fprintf (stderr, "failed loading model (generic error)\n");
return 1;
}
fprintf (stderr, "Created context: OK\n");
sd_c = sd_ctx;
return 0;
}
int gen_image(char *text, char *negativeText, int width, int height, int steps, int seed , char *dst, float cfg_scale) {
sd_image_t* results;
std::vector<int> skip_layers = {7, 8, 9};
fprintf (stderr, "Generating image\n");
results = txt2img(sd_c,
text,
negativeText,
-1, //clip_skip
cfg_scale, // sfg_scale
3.5f,
width,
height,
sample_method,
steps,
seed,
1,
NULL,
0.9f,
20.f,
false,
"",
skip_layers.data(),
skip_layers.size(),
0,
0.01,
0.2);
if (results == NULL) {
fprintf (stderr, "NO results\n");
return 1;
}
if (results[0].data == NULL) {
fprintf (stderr, "Results with no data\n");
return 1;
}
fprintf (stderr, "Writing PNG\n");
fprintf (stderr, "DST: %s\n", dst);
fprintf (stderr, "Width: %d\n", results[0].width);
fprintf (stderr, "Height: %d\n", results[0].height);
fprintf (stderr, "Channel: %d\n", results[0].channel);
fprintf (stderr, "Data: %p\n", results[0].data);
stbi_write_png(dst, results[0].width, results[0].height, results[0].channel,
results[0].data, 0, NULL);
fprintf (stderr, "Saved resulting image to '%s'\n", dst);
// TODO: free results. Why does it crash?
free(results[0].data);
results[0].data = NULL;
free(results);
fprintf (stderr, "gen_image is done", dst);
return 0;
}
int unload() {
free_sd_ctx(sd_c);
}