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https://github.com/leejet/stable-diffusion.cpp.git
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40 lines
2.1 KiB
C++
40 lines
2.1 KiB
C++
#include "model/diffusion/fibo2.hpp"
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#include "conditioning/conditioner.hpp"
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#include "conditioning/fibo2.hpp"
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#include "model_definition.h"
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#include "pipeline/model_builders.h"
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static bool build_fibo2(const sd::model_builders::Context& ctx, const TokenizerConfig& tokenizers, sd::model_builders::CoreRunners& result) {
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const auto* sd_ctx_params = &ctx.params;
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const auto& tensor_storage_map = ctx.tensor_storage_map;
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const auto version = ctx.version;
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const auto& weight_manager = ctx.weight_manager;
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result.conditioner = std::make_shared<Fibo2Conditioner>(ctx.backends.runtime_backend(SDBackendModule::TE),
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tensor_storage_map, weight_manager, tokenizers);
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result.diffusion = std::make_shared<Fibo2::Fibo2Runner>(ctx.backends.runtime_backend(SDBackendModule::DIFFUSION),
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tensor_storage_map, "model.diffusion_model", weight_manager);
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return true;
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}
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const std::vector<ModelDefinition>& fibo2_definitions() {
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static const std::vector<ModelDefinition> definitions = [] {
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std::vector<ModelDefinition> result;
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{
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ModelDefinition definition;
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definition.version = VERSION_FIBO2;
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definition.geometry = {1, 128, 3};
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definition.ref_image_preset = "fibo2";
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definition.name = "Fibo-2.0";
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definition.traits.is_dit = true;
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definition.traits.vae_kind = ModelVAEKind::FLUX2;
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definition.sampling = {FLOW_PRED, 3.f};
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definition.sampling.default_sample_method = EULER_SAMPLE_METHOD;
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definition.sampling.default_scheduler = FLUX_SCHEDULER;
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definition.build = build_fibo2;
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result.push_back(std::move(definition));
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}
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return result;
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}();
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return definitions;
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}
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