.github/workflows/build.yml

@@ -64,7 +64,7 @@ jobs:
       - name: Setup pnpm
         uses: pnpm/action-setup@v4
         with:
-          version: 10.15.1
+          version: 9
 
       - name: Dependencies
         id: depends
@@ -127,7 +127,7 @@ jobs:
       - name: Setup pnpm
         uses: pnpm/action-setup@v4
         with:
-          version: 10.15.1
+          version: 9
 
       - name: Dependencies
         id: depends
@@ -205,7 +205,7 @@ jobs:
       - name: Setup pnpm
         uses: pnpm/action-setup@v4
         with:
-          version: 10.15.1
+          version: 9
 
       - name: Get commit hash
         id: commit
@@ -264,7 +264,7 @@ jobs:
       - name: Setup pnpm
         uses: pnpm/action-setup@v4
         with:
-          version: 10.15.1
+          version: 9
 
       - name: Dependencies
         id: depends
@@ -345,7 +345,7 @@ jobs:
       - name: Setup pnpm
         uses: pnpm/action-setup@v4
         with:
-          version: 10.15.1
+          version: 9
 
       - name: Install cuda-toolkit
         id: cuda-toolkit
@@ -460,7 +460,7 @@ jobs:
       - name: Setup pnpm
         uses: pnpm/action-setup@v4
         with:
-          version: 10.15.1
+          version: 9
 
       - name: Cache ROCm Installation
         id: cache-rocm
@@ -573,7 +573,7 @@ jobs:
       - name: Setup pnpm
         uses: pnpm/action-setup@v4
         with:
-          version: 10.15.1
+          version: 9
 
       - name: Free disk space
         run: |

examples/cli/CMakeLists.txt

@@ -1,9 +1,6 @@
 set(TARGET sd-cli)
 
-add_executable(${TARGET}
-    image_metadata.cpp
-    main.cpp
-)
+add_executable(${TARGET} main.cpp)
 install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE stable-diffusion zip ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE stable-diffusion ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PUBLIC c_std_11 cxx_std_17)

examples/cli/README.md

@@ -10,18 +10,13 @@ CLI Options:
   --preview-interval <int>    interval in denoising steps between consecutive updates of the image preview file (default is 1, meaning updating at
                               every step)
   --output-begin-idx <int>    starting index for output image sequence, must be non-negative (default 0 if specified %d in output path, 1 otherwise)
-  --image <string>            path to the image to inspect (for metadata mode)
-  --metadata-format <string>  metadata output format, one of [text, json] (default: text)
   --canny                     apply canny preprocessor (edge detection)
   --convert-name              convert tensor name (for convert mode)
   -v, --verbose               print extra info
   --color                     colors the logging tags according to level
   --taesd-preview-only        prevents usage of taesd for decoding the final image. (for use with --preview tae)
   --preview-noisy             enables previewing noisy inputs of the models rather than the denoised outputs
-  --metadata-raw              include raw hex previews for unparsed metadata payloads
-  --metadata-brief            truncate long metadata text values in text output
-  --metadata-all              include structural/container entries such as IHDR, IDAT, and non-metadata JPEG segments
-  -M, --mode                  run mode, one of [img_gen, vid_gen, upscale, convert, metadata], default: img_gen
+  -M, --mode                  run mode, one of [img_gen, vid_gen, upscale, convert], default: img_gen
   --preview                   preview method. must be one of the following [none, proj, tae, vae] (default is none)
   -h, --help                  show this help message and exit
 
@@ -130,7 +125,6 @@ Generation Options:
   --vace-strength <float>                  wan vace strength
   --increase-ref-index                     automatically increase the indices of references images based on the order they are listed (starting with 1).
   --disable-auto-resize-ref-image          disable auto resize of ref images
-  --disable-image-metadata                 do not embed generation metadata on image files
   -s, --seed                               RNG seed (default: 42, use random seed for < 0)
   --sampling-method                        sampling method, one of [euler, euler_a, heun, dpm2, dpm++2s_a, dpm++2m, dpm++2mv2, ipndm, ipndm_v, lcm, ddim_trailing,
                                            tcd, res_multistep, res_2s] (default: euler for Flux/SD3/Wan, euler_a
@@ -153,12 +147,3 @@ Generation Options:
   --scm-mask                               SCM steps mask for cache-dit: comma-separated 0/1 (e.g., "1,1,1,0,0,1,0,0,1,0") - 1=compute, 0=can cache
   --scm-policy                             SCM policy: 'dynamic' (default) or 'static'
 ```
-
-Metadata mode inspects PNG/JPEG container metadata without loading any model:
-
-```bash
-./bin/sd-cli -M metadata --image ./output.png
-./bin/sd-cli -M metadata --image ./output.jpg --metadata-format json
-./bin/sd-cli -M metadata --image ./output.png --metadata-raw
-./bin/sd-cli -M metadata --image ./output.png --metadata-all
-```

examples/cli/image_metadata.h

@@ -1,21 +0,0 @@
-#pragma once
-
-#include <iosfwd>
-#include <string>
-
-enum class MetadataOutputFormat {
-    TEXT,
-    JSON,
-};
-
-struct MetadataReadOptions {
-    MetadataOutputFormat output_format = MetadataOutputFormat::TEXT;
-    bool include_raw                   = false;
-    bool brief                         = false;
-    bool include_structural            = false;
-};
-
-bool print_image_metadata(const std::string& image_path,
-                          const MetadataReadOptions& options,
-                          std::ostream& out,
-                          std::string& error);

examples/cli/main.cpp

@@ -18,7 +18,6 @@
 #include "common/common.hpp"
 
 #include "avi_writer.h"
-#include "image_metadata.h"
 
 const char* previews_str[] = {
     "none",
@@ -33,8 +32,6 @@ struct SDCliParams {
     SDMode mode             = IMG_GEN;
     std::string output_path = "output.png";
     int output_begin_idx    = -1;
-    std::string image_path;
-    std::string metadata_format = "text";
 
     bool verbose          = false;
     bool canny_preprocess = false;
@@ -47,9 +44,6 @@ struct SDCliParams {
     bool taesd_preview       = false;
     bool preview_noisy       = false;
     bool color               = false;
-    bool metadata_raw        = false;
-    bool metadata_brief      = false;
-    bool metadata_all        = false;
 
     bool normal_exit = false;
 
@@ -61,14 +55,6 @@ struct SDCliParams {
              "--output",
              "path to write result image to. you can use printf-style %d format specifiers for image sequences (default: ./output.png) (eg. output_%03d.png)",
              &output_path},
-            {"",
-             "--image",
-             "path to the image to inspect (for metadata mode)",
-             &image_path},
-            {"",
-             "--metadata-format",
-             "metadata output format, one of [text, json] (default: text)",
-             &metadata_format},
             {"",
              "--preview-path",
              "path to write preview image to (default: ./preview.png)",
@@ -111,18 +97,6 @@ struct SDCliParams {
              "--preview-noisy",
              "enables previewing noisy inputs of the models rather than the denoised outputs",
              true, &preview_noisy},
-            {"",
-             "--metadata-raw",
-             "include raw hex previews for unparsed metadata payloads",
-             true, &metadata_raw},
-            {"",
-             "--metadata-brief",
-             "truncate long metadata text values in text output",
-             true, &metadata_brief},
-            {"",
-             "--metadata-all",
-             "include structural/container entries such as IHDR, IDAT, and non-metadata JPEG segments",
-             true, &metadata_all},
 
         };
 
@@ -175,7 +149,7 @@ struct SDCliParams {
         options.manual_options = {
             {"-M",
              "--mode",
-             "run mode, one of [img_gen, vid_gen, upscale, convert, metadata], default: img_gen",
+             "run mode, one of [img_gen, vid_gen, upscale, convert], default: img_gen",
              on_mode_arg},
             {"",
              "--preview",
@@ -191,7 +165,7 @@ struct SDCliParams {
     };
 
     bool process_and_check() {
-        if (mode != METADATA && output_path.length() == 0) {
+        if (output_path.length() == 0) {
             LOG_ERROR("error: the following arguments are required: output_path");
             return false;
         }
@@ -200,16 +174,6 @@ struct SDCliParams {
             if (output_path == "output.png") {
                 output_path = "output.gguf";
             }
-        } else if (mode == METADATA) {
-            if (image_path.empty()) {
-                LOG_ERROR("error: metadata mode needs an image path (--image)");
-                return false;
-            }
-            if (metadata_format != "text" && metadata_format != "json") {
-                LOG_ERROR("error: invalid metadata format %s, must be one of [text, json]",
-                          metadata_format.c_str());
-                return false;
-            }
         }
         return true;
     }
@@ -219,8 +183,6 @@ struct SDCliParams {
         oss << "SDCliParams {\n"
             << "  mode: " << modes_str[mode] << ",\n"
             << "  output_path: \"" << output_path << "\",\n"
-            << "  image_path: \"" << image_path << "\",\n"
-            << "  metadata_format: \"" << metadata_format << "\",\n"
             << "  verbose: " << (verbose ? "true" : "false") << ",\n"
             << "  color: " << (color ? "true" : "false") << ",\n"
             << "  canny_preprocess: " << (canny_preprocess ? "true" : "false") << ",\n"
@@ -230,10 +192,7 @@ struct SDCliParams {
             << "  preview_path: \"" << preview_path << "\",\n"
             << "  preview_fps: " << preview_fps << ",\n"
             << "  taesd_preview: " << (taesd_preview ? "true" : "false") << ",\n"
-            << "  preview_noisy: " << (preview_noisy ? "true" : "false") << ",\n"
-            << "  metadata_raw: " << (metadata_raw ? "true" : "false") << ",\n"
-            << "  metadata_brief: " << (metadata_brief ? "true" : "false") << ",\n"
-            << "  metadata_all: " << (metadata_all ? "true" : "false") << "\n"
+            << "  preview_noisy: " << (preview_noisy ? "true" : "false") << "\n"
             << "}";
         return oss.str();
     }
@@ -258,18 +217,71 @@ void parse_args(int argc, const char** argv, SDCliParams& cli_params, SDContextP
         exit(cli_params.normal_exit ? 0 : 1);
     }
 
-    bool valid = cli_params.process_and_check();
-    if (valid && cli_params.mode != METADATA) {
-        valid = ctx_params.process_and_check(cli_params.mode) &&
-                gen_params.process_and_check(cli_params.mode, ctx_params.lora_model_dir);
-    }
-
-    if (!valid) {
+    if (!cli_params.process_and_check() ||
+        !ctx_params.process_and_check(cli_params.mode) ||
+        !gen_params.process_and_check(cli_params.mode, ctx_params.lora_model_dir)) {
         print_usage(argc, argv, options_vec);
         exit(1);
     }
 }
 
+std::string get_image_params(const SDCliParams& cli_params, const SDContextParams& ctx_params, const SDGenerationParams& gen_params, int64_t seed) {
+    std::string parameter_string = gen_params.prompt_with_lora + "\n";
+    if (gen_params.negative_prompt.size() != 0) {
+        parameter_string += "Negative prompt: " + gen_params.negative_prompt + "\n";
+    }
+    parameter_string += "Steps: " + std::to_string(gen_params.sample_params.sample_steps) + ", ";
+    parameter_string += "CFG scale: " + std::to_string(gen_params.sample_params.guidance.txt_cfg) + ", ";
+    if (gen_params.sample_params.guidance.slg.scale != 0 && gen_params.skip_layers.size() != 0) {
+        parameter_string += "SLG scale: " + std::to_string(gen_params.sample_params.guidance.txt_cfg) + ", ";
+        parameter_string += "Skip layers: [";
+        for (const auto& layer : gen_params.skip_layers) {
+            parameter_string += std::to_string(layer) + ", ";
+        }
+        parameter_string += "], ";
+        parameter_string += "Skip layer start: " + std::to_string(gen_params.sample_params.guidance.slg.layer_start) + ", ";
+        parameter_string += "Skip layer end: " + std::to_string(gen_params.sample_params.guidance.slg.layer_end) + ", ";
+    }
+    parameter_string += "Guidance: " + std::to_string(gen_params.sample_params.guidance.distilled_guidance) + ", ";
+    parameter_string += "Eta: " + std::to_string(gen_params.sample_params.eta) + ", ";
+    parameter_string += "Seed: " + std::to_string(seed) + ", ";
+    parameter_string += "Size: " + std::to_string(gen_params.get_resolved_width()) + "x" + std::to_string(gen_params.get_resolved_height()) + ", ";
+    parameter_string += "Model: " + sd_basename(ctx_params.model_path) + ", ";
+    parameter_string += "RNG: " + std::string(sd_rng_type_name(ctx_params.rng_type)) + ", ";
+    if (ctx_params.sampler_rng_type != RNG_TYPE_COUNT) {
+        parameter_string += "Sampler RNG: " + std::string(sd_rng_type_name(ctx_params.sampler_rng_type)) + ", ";
+    }
+    parameter_string += "Sampler: " + std::string(sd_sample_method_name(gen_params.sample_params.sample_method));
+    if (!gen_params.custom_sigmas.empty()) {
+        parameter_string += ", Custom Sigmas: [";
+        for (size_t i = 0; i < gen_params.custom_sigmas.size(); ++i) {
+            std::ostringstream oss;
+            oss << std::fixed << std::setprecision(4) << gen_params.custom_sigmas[i];
+            parameter_string += oss.str() + (i == gen_params.custom_sigmas.size() - 1 ? "" : ", ");
+        }
+        parameter_string += "]";
+    } else if (gen_params.sample_params.scheduler != SCHEDULER_COUNT) {  // Only show schedule if not using custom sigmas
+        parameter_string += " " + std::string(sd_scheduler_name(gen_params.sample_params.scheduler));
+    }
+    parameter_string += ", ";
+    for (const auto& te : {ctx_params.clip_l_path, ctx_params.clip_g_path, ctx_params.t5xxl_path, ctx_params.llm_path, ctx_params.llm_vision_path}) {
+        if (!te.empty()) {
+            parameter_string += "TE: " + sd_basename(te) + ", ";
+        }
+    }
+    if (!ctx_params.diffusion_model_path.empty()) {
+        parameter_string += "Unet: " + sd_basename(ctx_params.diffusion_model_path) + ", ";
+    }
+    if (!ctx_params.vae_path.empty()) {
+        parameter_string += "VAE: " + sd_basename(ctx_params.vae_path) + ", ";
+    }
+    if (gen_params.clip_skip != -1) {
+        parameter_string += "Clip skip: " + std::to_string(gen_params.clip_skip) + ", ";
+    }
+    parameter_string += "Version: stable-diffusion.cpp";
+    return parameter_string;
+}
+
 void sd_log_cb(enum sd_log_level_t level, const char* log, void* data) {
     SDCliParams* cli_params = (SDCliParams*)data;
     log_print(level, log, cli_params->verbose, cli_params->color);
@@ -402,14 +414,12 @@ bool save_results(const SDCliParams& cli_params,
         if (!img.data)
             return false;
 
-        std::string params = gen_params.embed_image_metadata
-                                 ? get_image_params(ctx_params, gen_params, gen_params.seed + idx)
-                                 : "";
+        std::string params = get_image_params(cli_params, ctx_params, gen_params, gen_params.seed + idx);
         int ok             = 0;
         if (is_jpg) {
-            ok = stbi_write_jpg(path.string().c_str(), img.width, img.height, img.channel, img.data, 90, params.size() > 0 ? params.c_str() : nullptr);
+            ok = stbi_write_jpg(path.string().c_str(), img.width, img.height, img.channel, img.data, 90, params.c_str());
         } else {
-            ok = stbi_write_png(path.string().c_str(), img.width, img.height, img.channel, img.data, 0, params.size() > 0 ? params.c_str() : nullptr);
+            ok = stbi_write_png(path.string().c_str(), img.width, img.height, img.channel, img.data, 0, params.c_str());
         }
         LOG_INFO("save result image %d to '%s' (%s)", idx, path.string().c_str(), ok ? "success" : "failure");
         return ok != 0;
@@ -475,27 +485,6 @@ int main(int argc, const char* argv[]) {
     SDGenerationParams gen_params;
 
     parse_args(argc, argv, cli_params, ctx_params, gen_params);
-    sd_set_log_callback(sd_log_cb, (void*)&cli_params);
-    log_verbose = cli_params.verbose;
-    log_color   = cli_params.color;
-
-    if (cli_params.mode == METADATA) {
-        MetadataReadOptions options;
-        options.output_format      = cli_params.metadata_format == "json"
-                                         ? MetadataOutputFormat::JSON
-                                         : MetadataOutputFormat::TEXT;
-        options.include_raw        = cli_params.metadata_raw;
-        options.brief              = cli_params.metadata_brief;
-        options.include_structural = cli_params.metadata_all;
-
-        std::string error;
-        if (!print_image_metadata(cli_params.image_path, options, std::cout, error)) {
-            LOG_ERROR("%s", error.c_str());
-            return 1;
-        }
-        return 0;
-    }
-
     if (gen_params.video_frames > 4) {
         size_t last_dot_pos   = cli_params.preview_path.find_last_of(".");
         std::string base_path = cli_params.preview_path;
@@ -513,6 +502,9 @@ int main(int argc, const char* argv[]) {
     if (cli_params.preview_method == PREVIEW_PROJ)
         cli_params.preview_fps /= 4;
 
+    sd_set_log_callback(sd_log_cb, (void*)&cli_params);
+    log_verbose = cli_params.verbose;
+    log_color   = cli_params.color;
     sd_set_preview_callback(step_callback,
                             cli_params.preview_method,
                             cli_params.preview_interval,

examples/common/common.hpp

@@ -39,16 +39,14 @@ const char* modes_str[] = {
     "vid_gen",
     "convert",
     "upscale",
-    "metadata",
 };
-#define SD_ALL_MODES_STR "img_gen, vid_gen, convert, upscale, metadata"
+#define SD_ALL_MODES_STR "img_gen, vid_gen, convert, upscale"
 
 enum SDMode {
     IMG_GEN,
     VID_GEN,
     CONVERT,
     UPSCALE,
-    METADATA,
     MODE_COUNT
 };
 
@@ -779,7 +777,7 @@ struct SDContextParams {
     }
 
     bool process_and_check(SDMode mode) {
-        if (mode != UPSCALE && mode != METADATA && model_path.length() == 0 && diffusion_model_path.length() == 0) {
+        if (mode != UPSCALE && model_path.length() == 0 && diffusion_model_path.length() == 0) {
             LOG_ERROR("error: the following arguments are required: model_path/diffusion_model\n");
             return false;
         }
@@ -967,7 +965,6 @@ struct SDGenerationParams {
     std::string control_video_path;
     bool auto_resize_ref_image = true;
     bool increase_ref_index    = false;
-    bool embed_image_metadata  = true;
 
     std::vector<int> skip_layers = {7, 8, 9};
     sd_sample_params_t sample_params;
@@ -1202,16 +1199,10 @@ struct SDGenerationParams {
              "disable auto resize of ref images",
              false,
              &auto_resize_ref_image},
-            {"",
-             "--disable-image-metadata",
-             "do not embed generation metadata on image files",
-             false,
-             &embed_image_metadata},
             {"",
              "--vae-tiling",
              "process vae in tiles to reduce memory usage",
-             true,
-             &vae_tiling_params.enabled},
+             true, &vae_tiling_params.enabled},
         };
 
         auto on_seed_arg = [&](int argc, const char** argv, int index) {
@@ -1576,7 +1567,6 @@ struct SDGenerationParams {
 
         load_if_exists("auto_resize_ref_image", auto_resize_ref_image);
         load_if_exists("increase_ref_index", increase_ref_index);
-        load_if_exists("embed_image_metadata", embed_image_metadata);
 
         load_if_exists("skip_layers", skip_layers);
         load_if_exists("high_noise_skip_layers", high_noise_skip_layers);
@@ -2104,65 +2094,3 @@ uint8_t* load_image_from_memory(const char* image_bytes,
                                 int expected_channel = 3) {
     return load_image_common(true, image_bytes, len, width, height, expected_width, expected_height, expected_channel);
 }
-
-std::string get_image_params(const SDContextParams& ctx_params, const SDGenerationParams& gen_params, int64_t seed) {
-    std::string parameter_string;
-    if (gen_params.prompt_with_lora.size() != 0) {
-        parameter_string += gen_params.prompt_with_lora + "\n";
-    } else {
-        parameter_string += gen_params.prompt + "\n";
-    }
-    if (gen_params.negative_prompt.size() != 0) {
-        parameter_string += "Negative prompt: " + gen_params.negative_prompt + "\n";
-    }
-    parameter_string += "Steps: " + std::to_string(gen_params.sample_params.sample_steps) + ", ";
-    parameter_string += "CFG scale: " + std::to_string(gen_params.sample_params.guidance.txt_cfg) + ", ";
-    if (gen_params.sample_params.guidance.slg.scale != 0 && gen_params.skip_layers.size() != 0) {
-        parameter_string += "SLG scale: " + std::to_string(gen_params.sample_params.guidance.txt_cfg) + ", ";
-        parameter_string += "Skip layers: [";
-        for (const auto& layer : gen_params.skip_layers) {
-            parameter_string += std::to_string(layer) + ", ";
-        }
-        parameter_string += "], ";
-        parameter_string += "Skip layer start: " + std::to_string(gen_params.sample_params.guidance.slg.layer_start) + ", ";
-        parameter_string += "Skip layer end: " + std::to_string(gen_params.sample_params.guidance.slg.layer_end) + ", ";
-    }
-    parameter_string += "Guidance: " + std::to_string(gen_params.sample_params.guidance.distilled_guidance) + ", ";
-    parameter_string += "Eta: " + std::to_string(gen_params.sample_params.eta) + ", ";
-    parameter_string += "Seed: " + std::to_string(seed) + ", ";
-    parameter_string += "Size: " + std::to_string(gen_params.get_resolved_width()) + "x" + std::to_string(gen_params.get_resolved_height()) + ", ";
-    parameter_string += "Model: " + sd_basename(ctx_params.model_path) + ", ";
-    parameter_string += "RNG: " + std::string(sd_rng_type_name(ctx_params.rng_type)) + ", ";
-    if (ctx_params.sampler_rng_type != RNG_TYPE_COUNT) {
-        parameter_string += "Sampler RNG: " + std::string(sd_rng_type_name(ctx_params.sampler_rng_type)) + ", ";
-    }
-    parameter_string += "Sampler: " + std::string(sd_sample_method_name(gen_params.sample_params.sample_method));
-    if (!gen_params.custom_sigmas.empty()) {
-        parameter_string += ", Custom Sigmas: [";
-        for (size_t i = 0; i < gen_params.custom_sigmas.size(); ++i) {
-            std::ostringstream oss;
-            oss << std::fixed << std::setprecision(4) << gen_params.custom_sigmas[i];
-            parameter_string += oss.str() + (i == gen_params.custom_sigmas.size() - 1 ? "" : ", ");
-        }
-        parameter_string += "]";
-    } else if (gen_params.sample_params.scheduler != SCHEDULER_COUNT) {  // Only show schedule if not using custom sigmas
-        parameter_string += " " + std::string(sd_scheduler_name(gen_params.sample_params.scheduler));
-    }
-    parameter_string += ", ";
-    for (const auto& te : {ctx_params.clip_l_path, ctx_params.clip_g_path, ctx_params.t5xxl_path, ctx_params.llm_path, ctx_params.llm_vision_path}) {
-        if (!te.empty()) {
-            parameter_string += "TE: " + sd_basename(te) + ", ";
-        }
-    }
-    if (!ctx_params.diffusion_model_path.empty()) {
-        parameter_string += "Unet: " + sd_basename(ctx_params.diffusion_model_path) + ", ";
-    }
-    if (!ctx_params.vae_path.empty()) {
-        parameter_string += "VAE: " + sd_basename(ctx_params.vae_path) + ", ";
-    }
-    if (gen_params.clip_skip != -1) {
-        parameter_string += "Clip skip: " + std::to_string(gen_params.clip_skip) + ", ";
-    }
-    parameter_string += "Version: stable-diffusion.cpp";
-    return parameter_string;
-}

examples/server/CMakeLists.txt

@@ -70,10 +70,4 @@ endif()
 
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE stable-diffusion ${CMAKE_THREAD_LIBS_INIT})
-
-# due to httplib; it contains a pragma for MSVC, but other things need explicit flags
-if(WIN32 AND NOT MSVC)
-    target_link_libraries(${TARGET} PRIVATE ws2_32)
-endif()
-
 target_compile_features(${TARGET} PUBLIC c_std_11 cxx_std_17)

examples/server/README.md

@@ -205,7 +205,6 @@ Default Generation Options:
   --vace-strength <float>                  wan vace strength
   --increase-ref-index                     automatically increase the indices of references images based on the order they are listed (starting with 1).
   --disable-auto-resize-ref-image          disable auto resize of ref images
-  --disable-image-metadata                 do not embed generation metadata on image files
   -s, --seed                               RNG seed (default: 42, use random seed for < 0)
   --sampling-method                        sampling method, one of [euler, euler_a, heun, dpm2, dpm++2s_a, dpm++2m, dpm++2mv2, ipndm, ipndm_v, lcm, ddim_trailing,
                                            tcd, res_multistep, res_2s] (default: euler for Flux/SD3/Wan, euler_a

examples/server/main.cpp

@@ -220,23 +220,12 @@ std::string extract_and_remove_sd_cpp_extra_args(std::string& text) {
 enum class ImageFormat { JPEG,
                          PNG };
 
-static int stbi_ext_write_png_to_func(stbi_write_func* func, void* context, int x, int y, int comp, const void* data, int stride_bytes, const char* parameters) {
-    int len;
-    unsigned char* png = stbi_write_png_to_mem((const unsigned char*)data, stride_bytes, x, y, comp, &len, parameters);
-    if (png == NULL)
-        return 0;
-    func(context, png, len);
-    STBIW_FREE(png);
-    return 1;
-}
-
 std::vector<uint8_t> write_image_to_vector(
     ImageFormat format,
     const uint8_t* image,
     int width,
     int height,
     int channels,
-    std::string params = "",
     int quality = 90) {
     std::vector<uint8_t> buffer;
 
@@ -260,7 +249,7 @@ std::vector<uint8_t> write_image_to_vector(
             result = stbi_write_jpg_to_func(c_func, &ctx, width, height, channels, image, quality);
             break;
         case ImageFormat::PNG:
-            result = stbi_ext_write_png_to_func(c_func, &ctx, width, height, channels, image, width * channels, params.size() > 0 ? params.c_str() : nullptr);
+            result = stbi_write_png_to_func(c_func, &ctx, width, height, channels, image, width * channels);
             break;
         default:
             throw std::runtime_error("invalid image format");
@@ -508,15 +497,11 @@ void register_openai_api_endpoints(httplib::Server& svr, ServerRuntime& rt) {
                 if (results[i].data == nullptr) {
                     continue;
                 }
-                std::string params = gen_params.embed_image_metadata
-                                         ? get_image_params(*runtime->ctx_params, gen_params, gen_params.seed + i)
-                                         : "";
                 auto image_bytes = write_image_to_vector(output_format == "jpeg" ? ImageFormat::JPEG : ImageFormat::PNG,
                                                          results[i].data,
                                                          results[i].width,
                                                          results[i].height,
                                                          results[i].channel,
-                                                         params,
                                                          output_compression);
                 if (image_bytes.empty()) {
                     LOG_ERROR("write image to mem failed");
@@ -762,15 +747,11 @@ void register_openai_api_endpoints(httplib::Server& svr, ServerRuntime& rt) {
             for (int i = 0; i < num_results; i++) {
                 if (results[i].data == nullptr)
                     continue;
-                std::string params = gen_params.embed_image_metadata
-                                         ? get_image_params(*runtime->ctx_params, gen_params, gen_params.seed + i)
-                                         : "";
                 auto image_bytes = write_image_to_vector(output_format == "jpeg" ? ImageFormat::JPEG : ImageFormat::PNG,
                                                          results[i].data,
                                                          results[i].width,
                                                          results[i].height,
                                                          results[i].channel,
-                                                         params,
                                                          output_compression);
                 std::string b64 = base64_encode(image_bytes);
                 json item;
@@ -1081,15 +1062,11 @@ void register_sdapi_endpoints(httplib::Server& svr, ServerRuntime& rt) {
                     continue;
                 }
 
-                std::string params = gen_params.embed_image_metadata
-                                         ? get_image_params(*runtime->ctx_params, gen_params, gen_params.seed + i)
-                                         : "";
                 auto image_bytes = write_image_to_vector(ImageFormat::PNG,
                                                          results[i].data,
                                                          results[i].width,
                                                          results[i].height,
-                                                           results[i].channel,
-                                                           params);
+                                                         results[i].channel);
 
                 if (image_bytes.empty()) {
                     LOG_ERROR("write image to mem failed");

src/model.cpp

@@ -1311,7 +1311,6 @@ bool ModelLoader::load_tensors(on_new_tensor_cb_t on_new_tensor_cb, int n_thread
     std::atomic<int64_t> memcpy_time_ms(0);
     std::atomic<int64_t> copy_to_backend_time_ms(0);
     std::atomic<int64_t> convert_time_ms(0);
-    std::atomic<uint64_t> bytes_processed(0);
 
     int num_threads_to_use = n_threads_p > 0 ? n_threads_p : sd_get_num_physical_cores();
     LOG_DEBUG("using %d threads for model loading", num_threads_to_use);
@@ -1523,8 +1522,6 @@ bool ModelLoader::load_tensors(on_new_tensor_cb_t on_new_tensor_cb, int n_thread
                         t1 = ggml_time_ms();
                         copy_to_backend_time_ms.fetch_add(t1 - t0);
                     }
-
-                    bytes_processed.fetch_add((uint64_t)nbytes_to_read);
                 }
                 if (zip != nullptr) {
                     zip_close(zip);
@@ -1538,11 +1535,7 @@ bool ModelLoader::load_tensors(on_new_tensor_cb_t on_new_tensor_cb, int n_thread
                 break;
             }
             size_t curr_num = total_tensors_processed + current_idx;
-            float elapsed_seconds = (ggml_time_ms() - t_start) / 1000.0f;
-            pretty_bytes_progress(static_cast<int>(curr_num),
-                                  static_cast<int>(total_tensors_to_process),
-                                  bytes_processed.load(),
-                                  elapsed_seconds);
+            pretty_progress(static_cast<int>(curr_num), static_cast<int>(total_tensors_to_process), (ggml_time_ms() - t_start) / 1000.0f / (curr_num + 1e-6f));
             std::this_thread::sleep_for(std::chrono::milliseconds(200));
         }
 
@@ -1555,10 +1548,7 @@ bool ModelLoader::load_tensors(on_new_tensor_cb_t on_new_tensor_cb, int n_thread
             break;
         }
         total_tensors_processed += file_tensors.size();
-        pretty_bytes_progress(static_cast<int>(total_tensors_processed),
-                              static_cast<int>(total_tensors_to_process),
-                              bytes_processed.load(),
-                              (ggml_time_ms() - t_start) / 1000.0f);
+        pretty_progress(static_cast<int>(total_tensors_processed), static_cast<int>(total_tensors_to_process), (ggml_time_ms() - t_start) / 1000.0f / (total_tensors_processed + 1e-6f));
         if (total_tensors_processed < total_tensors_to_process) {
             printf("\n");
         }

src/util.cpp

@@ -337,13 +337,17 @@ std::vector<std::string> split_string(const std::string& str, char delimiter) {
     return result;
 }
 
-static std::string build_progress_bar(int step, int steps) {
+void pretty_progress(int step, int steps, float time) {
+    if (sd_progress_cb) {
+        sd_progress_cb(step, steps, time, sd_progress_cb_data);
+        return;
+    }
+    if (step == 0) {
+        return;
+    }
     std::string progress = "  |";
     int max_progress     = 50;
-    int32_t current      = 0;
-    if (steps > 0) {
-        current = (int32_t)(step * 1.f * max_progress / steps);
-    }
+    int32_t current      = (int32_t)(step * 1.f * max_progress / steps);
     for (int i = 0; i < 50; i++) {
         if (i > current) {
             progress += " ";
@@ -354,57 +358,16 @@ static std::string build_progress_bar(int step, int steps) {
         }
     }
     progress += "|";
-    return progress;
-}
 
-static void print_progress_line(int step, int steps, const std::string& speed_text) {
-    if (step == 0) {
-        return;
-    }
-    std::string progress = build_progress_bar(step, steps);
     const char* lf   = (step == steps ? "\n" : "");
-    printf("\r%s %i/%i - %s\033[K%s", progress.c_str(), step, steps, speed_text.c_str(), lf);
-    fflush(stdout);  // for linux
-}
-
-void pretty_progress(int step, int steps, float time) {
-    if (sd_progress_cb) {
-        sd_progress_cb(step, steps, time, sd_progress_cb_data);
-        return;
-    }
-    if (step == 0) {
-        return;
-    }
     const char* unit = "s/it";
     float speed      = time;
     if (speed < 1.0f && speed > 0.f) {
         speed = 1.0f / speed;
         unit  = "it/s";
     }
-    print_progress_line(step, steps, sd_format("%.2f%s", speed, unit));
-}
-
-void pretty_bytes_progress(int step, int steps, uint64_t bytes_processed, float elapsed_seconds) {
-    if (sd_progress_cb) {
-        float time = elapsed_seconds / (step + 1e-6f);
-        sd_progress_cb(step, steps, time, sd_progress_cb_data);
-        return;
-    }
-    if (step == 0) {
-        return;
-    }
-
-    double bytes_per_second = 0.0;
-    if (elapsed_seconds > 0.0f) {
-        bytes_per_second = bytes_processed / (double)elapsed_seconds;
-    }
-
-    double speed_mb = bytes_per_second / (1024.0 * 1024.0);
-    if (speed_mb >= 1024.0) {
-        print_progress_line(step, steps, sd_format("%.2fGB/s", speed_mb / 1024.0));
-    } else {
-        print_progress_line(step, steps, sd_format("%.2fMB/s", speed_mb));
-    }
+    printf("\r%s %i/%i - %.2f%s\033[K%s", progress.c_str(), step, steps, speed, unit, lf);
+    fflush(stdout);  // for linux
 }
 
 std::string ltrim(const std::string& s) {

src/util.h

@@ -64,7 +64,6 @@ protected:
 std::string path_join(const std::string& p1, const std::string& p2);
 std::vector<std::string> split_string(const std::string& str, char delimiter);
 void pretty_progress(int step, int steps, float time);
-void pretty_bytes_progress(int step, int steps, uint64_t bytes_processed, float elapsed_seconds);
 
 void log_printf(sd_log_level_t level, const char* file, int line, const char* format, ...);