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80 lines
2.8 KiB
C++
80 lines
2.8 KiB
C++
#pragma once
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#include "engine/framework/core/backend_weight_store.h"
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#include "engine/framework/core/execution_context.h"
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#include "engine/framework/modules/conv_modules.h"
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#include "engine/framework/modules/linear_module.h"
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#include "engine/framework/modules/norm_modules.h"
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#include <array>
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#include <memory>
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#include <vector>
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namespace engine::models::latentsync {
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struct LatentSyncSdVaeConfig {
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std::array<int64_t, 4> channels{128, 256, 512, 512};
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int64_t latent_channels = 4;
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int64_t layers_per_block = 2;
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int64_t norm_groups = 32;
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bool cuda_cudnn = false;
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bool cuda_f16_activations = false;
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};
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struct SdVaeResnetWeights {
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modules::NormWeights norm1, norm2;
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modules::Conv2dWeights conv1, conv2;
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std::optional<modules::Conv2dWeights> shortcut;
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};
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struct SdVaeStageWeights {
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std::vector<SdVaeResnetWeights> resnets;
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std::optional<modules::Conv2dWeights> resample;
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};
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struct SdVaeTowerWeights {
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modules::Conv2dWeights input, output, quant;
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modules::NormWeights output_norm, attention_norm;
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struct AttentionWeights {
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modules::LinearWeights query, key, value, out;
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} attention;
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std::array<SdVaeResnetWeights, 2> mid_resnets;
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std::vector<SdVaeStageWeights> stages;
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};
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SdVaeTowerWeights load_sd_vae_weights(core::BackendWeightStore & store,
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const assets::TensorSource & source, const LatentSyncSdVaeConfig & config,
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bool encoder, assets::TensorStorageType type);
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class LatentSyncSdVae {
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public:
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explicit LatentSyncSdVae(LatentSyncSdVaeConfig config);
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core::TensorValue build_encoder(core::ModuleBuildContext & ctx,
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const core::TensorValue & image, const SdVaeTowerWeights & weights) const;
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core::TensorValue build_decoder(core::ModuleBuildContext & ctx,
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const core::TensorValue & latent, const SdVaeTowerWeights & weights) const;
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private:
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core::TensorValue build_resnet(core::ModuleBuildContext & ctx,
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const core::TensorValue & input, const SdVaeResnetWeights & weights) const;
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core::TensorValue build_mid(core::ModuleBuildContext & ctx,
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const core::TensorValue & input, const SdVaeTowerWeights & weights) const;
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LatentSyncSdVaeConfig config_;
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};
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class LatentSyncSdVaeRuntime {
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public:
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LatentSyncSdVaeRuntime(core::ExecutionContext & execution, const assets::TensorSource & source,
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assets::TensorStorageType weight_type, int64_t resolution = 512,
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bool cuda_cudnn = false, bool cuda_f16_activations = false,
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bool share_graph_workspace = false);
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~LatentSyncSdVaeRuntime();
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std::vector<float> encode_moments(const std::vector<float> & image);
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std::vector<float> encode(const std::vector<float> & image, const std::vector<float> & posterior_noise);
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std::vector<float> decode(const std::vector<float> & scaled_latent);
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private:
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struct Impl;
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std::unique_ptr<Impl> impl_;
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};
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} // namespace engine::models::latentsync
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