mirror of
https://github.com/LostRuins/koboldcpp.git
synced 2026-09-20 01:31:42 +02:00
sd: sync to master-582-7023fc4 (#2150)
* sd: remove sampler alias handling from the C++ layer It's already handled at the Python layer. * sd: sync to master-580-7d33d4b * sd: sync to master-582-7023fc4
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@@ -32,7 +32,8 @@ const char* model_version_to_str[] = {
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"SD 2.x",
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"SD 2.x Inpaint",
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"SD 2.x Tiny UNet",
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"SDXS",
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"SDXS (512-DS)",
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"SDXS (09)",
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"SDXL",
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"SDXL Inpaint",
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"SDXL Instruct-Pix2Pix",
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@@ -54,6 +55,7 @@ const char* model_version_to_str[] = {
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"Flux.2 klein",
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"Z-Image",
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"Ovis Image",
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"Ernie Image",
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};
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const char* sampling_methods_str[] = {
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@@ -71,6 +73,7 @@ const char* sampling_methods_str[] = {
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"TCD",
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"Res Multistep",
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"Res 2s",
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"ER-SDE",
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};
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/*================================================== Helper Functions ================================================*/
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@@ -366,7 +369,8 @@ public:
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bool isflux2 = sd_version_is_flux2(tempver);
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bool is_ovis = (tempver==VERSION_OVIS_IMAGE);
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bool is_anima = sd_version_is_anima(tempver);
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bool conditioner_is_llm = (is_qwenimg || iszimg || isflux2 || is_ovis || is_anima);
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bool is_ernie = sd_version_is_ernie_image(tempver);
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bool conditioner_is_llm = (is_qwenimg || iszimg || isflux2 || is_ovis || is_anima || is_ernie);
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//kcpp qol fallback: if a llm was loaded as t5 by mistake
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if(conditioner_is_llm && t5_path_fixed!="")
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@@ -457,7 +461,7 @@ public:
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{
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to_replace = "taesd_3.embd";
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}
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else if(sd_version_is_flux2(tempver))
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else if(sd_version_uses_flux2_vae(tempver))
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{
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to_replace = "taesd_f2.embd";
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}
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@@ -634,7 +638,7 @@ public:
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}
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bool tae_preview_only = sd_ctx_params->tae_preview_only;
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if (version == VERSION_SDXS) {
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if (version == VERSION_SDXS_512_DS || version == VERSION_SDXS_09) {
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tae_preview_only = false;
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use_tae = true;
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}
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@@ -772,6 +776,15 @@ public:
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tensor_storage_map,
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"model.diffusion_model",
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version);
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} else if (sd_version_is_ernie_image(version)) {
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cond_stage_model = std::make_shared<LLMEmbedder>(clip_backend,
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offload_params_to_cpu,
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tensor_storage_map,
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version);
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diffusion_model = std::make_shared<ErnieImageModel>(backend,
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offload_params_to_cpu,
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tensor_storage_map,
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"model.diffusion_model");
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} else { // SD1.x SD2.x SDXL
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std::map<std::string, std::string> embbeding_map;
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for (uint32_t i = 0; i < sd_ctx_params->embedding_count; i++) {
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@@ -1047,6 +1060,10 @@ public:
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if (version == VERSION_SVD) {
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ignore_tensors.insert("conditioner.embedders.3");
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}
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if (sd_version_is_ernie_image(version)) {
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ignore_tensors.insert("text_encoders.llm.vision_tower.");
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ignore_tensors.insert("text_encoders.llm.multi_modal_projector.");
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}
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bool success = model_loader.load_tensors(tensors, ignore_tensors, n_threads, sd_ctx_params->enable_mmap);
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if (!success) {
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LOG_ERROR("load tensors from model loader failed");
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@@ -1150,10 +1167,13 @@ public:
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sd_version_is_wan(version) ||
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sd_version_is_qwen_image(version) ||
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sd_version_is_anima(version) ||
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sd_version_is_ernie_image(version) ||
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sd_version_is_z_image(version)) {
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pred_type = FLOW_PRED;
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if (sd_version_is_wan(version)) {
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default_flow_shift = 5.f;
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} else if (sd_version_is_ernie_image(version)) {
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default_flow_shift = 4.f;
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} else {
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default_flow_shift = 3.f;
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}
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@@ -1644,7 +1664,7 @@ public:
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uint32_t dim = is_video ? static_cast<uint32_t>(latents.shape()[3]) : static_cast<uint32_t>(latents.shape()[2]);
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if (dim == 128) {
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if (sd_version_is_flux2(version)) {
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if (sd_version_uses_flux2_vae(version)) {
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latent_rgb_proj = flux2_latent_rgb_proj;
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latent_rgb_bias = flux2_latent_rgb_bias;
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patch_sz = 2;
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@@ -2093,7 +2113,7 @@ public:
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latent_channel = 48;
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} else if (version == VERSION_CHROMA_RADIANCE) {
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latent_channel = 3;
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} else if (sd_version_is_flux2(version)) {
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} else if (sd_version_uses_flux2_vae(version)) {
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latent_channel = 128;
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} else {
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latent_channel = 16;
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@@ -2241,6 +2261,7 @@ const char* sample_method_to_str[] = {
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"tcd",
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"res_multistep",
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"res_2s",
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"er_sde",
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};
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const char* sd_sample_method_name(enum sample_method_t sample_method) {
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@@ -2636,6 +2657,14 @@ struct sd_ctx_t {
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StableDiffusionGGML* sd = nullptr;
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};
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static bool sd_version_supports_video_generation(SDVersion version) {
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return version == VERSION_SVD || sd_version_is_wan(version);
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}
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static bool sd_version_supports_image_generation(SDVersion version) {
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return !sd_version_supports_video_generation(version);
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}
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sd_ctx_t* new_sd_ctx(const sd_ctx_params_t* sd_ctx_params) {
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sd_ctx_t* sd_ctx = (sd_ctx_t*)malloc(sizeof(sd_ctx_t));
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if (sd_ctx == nullptr) {
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@@ -2665,6 +2694,20 @@ void free_sd_ctx(sd_ctx_t* sd_ctx) {
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free(sd_ctx);
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}
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SD_API bool sd_ctx_supports_image_generation(const sd_ctx_t* sd_ctx) {
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if (sd_ctx == nullptr || sd_ctx->sd == nullptr) {
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return false;
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}
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return sd_version_supports_image_generation(sd_ctx->sd->version);
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}
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SD_API bool sd_ctx_supports_video_generation(const sd_ctx_t* sd_ctx) {
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if (sd_ctx == nullptr || sd_ctx->sd == nullptr) {
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return false;
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}
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return sd_version_supports_video_generation(sd_ctx->sd->version);
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}
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enum sample_method_t sd_get_default_sample_method(const sd_ctx_t* sd_ctx) {
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if (sd_ctx != nullptr && sd_ctx->sd != nullptr) {
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if (sd_version_is_dit(sd_ctx->sd->version)) {
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@@ -2723,6 +2766,7 @@ static float resolve_eta(sd_ctx_t* sd_ctx,
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return 0.0f;
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case EULER_A_SAMPLE_METHOD:
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case DPMPP2S_A_SAMPLE_METHOD:
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case ER_SDE_SAMPLE_METHOD:
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return 1.0f;
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default:;
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}
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