#include "model/diffusion/ming_image.hpp" #include "conditioning/conditioner.hpp" #include "model_definition.h" #include "pipeline/model_builders.h" static bool build_ming_image(const sd::model_builders::Context& ctx, const TokenizerConfig& tokenizers, sd::model_builders::CoreRunners& result) { const auto* sd_ctx_params = &ctx.params; const auto& tensor_storage_map = ctx.tensor_storage_map; const auto version = ctx.version; const auto& weight_manager = ctx.weight_manager; result.conditioner = std::make_shared(ctx.backends.runtime_backend(SDBackendModule::TE), tensor_storage_map, weight_manager, tokenizers); result.diffusion = std::make_shared(ctx.backends.runtime_backend(SDBackendModule::DIFFUSION), tensor_storage_map, "model.diffusion_model", weight_manager); return true; } const std::vector& ming_image_definitions() { static const std::vector definitions = [] { std::vector result; { ModelDefinition definition; definition.version = VERSION_MING_IMAGE; definition.geometry = {2, 16, 4}; definition.name = "Ming-Image"; definition.traits.is_dit = true; definition.traits.vae_kind = ModelVAEKind::WAN; definition.traits.video_tae = true; definition.sampling = {MING_IMAGE_FLOW_PRED, INFINITY}; definition.sampling.default_sample_method = EULER_SAMPLE_METHOD; definition.sampling.default_scheduler = DISCRETE_SCHEDULER; definition.build = build_ming_image; result.push_back(std::move(definition)); } return result; }(); return definitions; }