Files
stable-diffusion.cpp/src/model/integrations/lens.cpp
T

45 lines
2.3 KiB
C++

#include "model/diffusion/lens.hpp"
#include "conditioning/conditioner.hpp"
#include "model_definition.h"
#include "pipeline/model_builders.h"
static bool build_lens(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<LLMEmbedder>(ctx.backends.runtime_backend(SDBackendModule::TE),
tensor_storage_map,
version,
"",
false,
weight_manager,
tokenizers);
result.diffusion = std::make_shared<Lens::LensRunner>(ctx.backends.runtime_backend(SDBackendModule::DIFFUSION),
tensor_storage_map,
"model.diffusion_model",
weight_manager);
return true;
}
const std::vector<ModelDefinition>& lens_definitions() {
static const std::vector<ModelDefinition> definitions = [] {
std::vector<ModelDefinition> result;
{
ModelDefinition definition;
definition.version = VERSION_LENS;
definition.geometry = {1, 128, 3};
definition.name = "Lens";
definition.traits.is_dit = true;
definition.traits.vae_kind = ModelVAEKind::FLUX2;
definition.sampling = {FLUX_FLOW_PRED, 1.83f};
definition.sampling.default_sample_method = EULER_SAMPLE_METHOD;
definition.sampling.default_scheduler = DISCRETE_SCHEDULER;
definition.build = build_lens;
result.push_back(std::move(definition));
}
return result;
}();
return definitions;
}