fix(stablediffusion-cpp): Switch back to upstream and update (#5880)
* sync(stablediffusion-cpp): Switch back to upstream and update Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(stablediffusion-ggml): NULL terminate options array to prevent segfault Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(build): Add BUILD_TYPE and BASE_IMAGE to all backends Signed-off-by: Richard Palethorpe <io@richiejp.com> --------- Signed-off-by: Richard Palethorpe <io@richiejp.com>
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@@ -53,9 +53,43 @@ sd_ctx_t* sd_c;
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sample_method_t sample_method;
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// Copied from the upstream CLI
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void sd_log_cb(enum sd_log_level_t level, const char* log, void* data) {
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//SDParams* params = (SDParams*)data;
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const char* level_str;
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if (!log /*|| (!params->verbose && level <= SD_LOG_DEBUG)*/) {
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return;
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}
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switch (level) {
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case SD_LOG_DEBUG:
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level_str = "DEBUG";
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break;
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case SD_LOG_INFO:
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level_str = "INFO";
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break;
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case SD_LOG_WARN:
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level_str = "WARN";
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break;
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case SD_LOG_ERROR:
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level_str = "ERROR";
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break;
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default: /* Potential future-proofing */
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level_str = "?????";
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break;
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}
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fprintf(stderr, "[%-5s] ", level_str);
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fputs(log, stderr);
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fflush(stderr);
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}
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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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sd_set_log_callback(sd_log_cb, NULL);
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char *stableDiffusionModel = "";
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if (diff == 1 ) {
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stableDiffusionModel = model;
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@@ -70,6 +104,8 @@ int load_model(char *model, char* options[], int threads, int diff) {
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char *scheduler = "";
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char *sampler = "";
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fprintf(stderr, "parsing options\n");
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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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@@ -98,10 +134,13 @@ int load_model(char *model, char* options[], int threads, int diff) {
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}
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}
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fprintf(stderr, "parsed options\n");
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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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for (int m = 0; m < SAMPLE_METHOD_COUNT; m++) {
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if (!strcmp(sampler, sample_method_str[m])) {
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sample_method_found = m;
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fprintf(stderr, "Found sampler: %s\n", sampler);
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}
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}
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if (sample_method_found == -1) {
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@@ -111,7 +150,7 @@ int load_model(char *model, char* options[], int threads, int diff) {
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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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for (int d = 0; d < SCHEDULE_COUNT; 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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@@ -125,30 +164,28 @@ int load_model(char *model, char* options[], int threads, int diff) {
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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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sd_ctx_params_t ctx_params;
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sd_ctx_params_init(&ctx_params);
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ctx_params.model_path = model;
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ctx_params.clip_l_path = clip_l_path;
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ctx_params.clip_g_path = clip_g_path;
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ctx_params.t5xxl_path = t5xxl_path;
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ctx_params.diffusion_model_path = stableDiffusionModel;
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ctx_params.vae_path = vae_path;
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ctx_params.taesd_path = "";
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ctx_params.control_net_path = "";
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ctx_params.lora_model_dir = "";
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ctx_params.embedding_dir = "";
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ctx_params.stacked_id_embed_dir = "";
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ctx_params.vae_decode_only = false;
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ctx_params.vae_tiling = false;
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ctx_params.free_params_immediately = false;
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ctx_params.n_threads = threads;
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ctx_params.rng_type = STD_DEFAULT_RNG;
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ctx_params.schedule = schedule;
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sd_ctx_t* sd_ctx = new_sd_ctx(&ctx_params);
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if (sd_ctx == NULL) {
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fprintf (stderr, "failed loading model (generic error)\n");
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@@ -169,29 +206,22 @@ int gen_image(char *text, char *negativeText, int width, int height, int steps,
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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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0, // eta
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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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sd_img_gen_params_t p;
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sd_img_gen_params_init(&p);
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p.prompt = text;
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p.negative_prompt = negativeText;
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p.guidance.txt_cfg = cfg_scale;
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p.guidance.slg.layers = skip_layers.data();
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p.guidance.slg.layer_count = skip_layers.size();
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p.width = width;
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p.height = height;
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p.sample_method = sample_method;
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p.sample_steps = steps;
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p.seed = seed;
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p.input_id_images_path = "";
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results = generate_image(sd_c, &p);
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if (results == NULL) {
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fprintf (stderr, "NO results\n");
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