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refactor: move model file IO into dedicated module #1442

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Merged
leejet merged 1 commit into from
Apr 19, 2026
Merged

refactor: move model file IO into dedicated module #1442

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4 changes: 3 additions & 1 deletion CMakeLists.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -156,10 +156,12 @@ endif()

set(SD_LIB stable-diffusion)

file(GLOB SD_LIB_SOURCES
file(GLOB SD_LIB_SOURCES CONFIGURE_DEPENDS
"src/*.h"
"src/*.cpp"
"src/*.hpp"
"src/model_io/*.h"
"src/model_io/*.cpp"
"src/tokenizers/*.h"
"src/tokenizers/*.cpp"
"src/tokenizers/vocab/*.h"
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2 changes: 1 addition & 1 deletion format-code.sh
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Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
for f in src/*.cpp src/*.h src/*.hpp src/tokenizers/*.h src/tokenizers/*.cpp src/tokenizers/vocab/*.h src/tokenizers/vocab/*.cpp \
examples/cli/*.cpp examples/cli/*.h examples/server/*.cpp \
src/model_io/*.h src/model_io/*.cpp examples/cli/*.cpp examples/cli/*.h examples/server/*.cpp \
examples/common/*.hpp examples/common/*.h examples/common/*.cpp; do
[[ "$f" == vocab* ]] && continue
echo "formatting '$f'"
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10 changes: 4 additions & 6 deletions src/denoiser.hpp
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Expand Up @@ -977,7 +977,7 @@ static sd::Tensor<float> sample_dpmpp_2s_ancestral_flow(denoise_cb_t model,
float eta = 1.0f) {
int steps = static_cast<int>(sigmas.size()) - 1;
for (int i = 0; i < steps; i++) {
float sigma = sigmas[i];
float sigma = sigmas[i];
float sigma_to = sigmas[i + 1];

bool opt_first_step = (1.0 - sigma < 1e-6);
Expand Down Expand Up @@ -1040,10 +1040,10 @@ static sd::Tensor<float> sample_dpmpp_2s_ancestral_flow(denoise_cb_t model,
// and sigma_s = sigma_fn(s) = 1.0f / (exp(s) + 1.0f)

float exp_s = std::sqrt(((1 - sigma) / sigma) * ((1 - sigma_down) / sigma_down));
sigma_s = 1.0f / (exp_s + 1.0f);
sigma_s = 1.0f / (exp_s + 1.0f);

float sigma_s_i_ratio = sigma_s / sigma;
sd::Tensor<float> u = (x * sigma_s_i_ratio) + (denoised * (1.0f - sigma_s_i_ratio));
sd::Tensor<float> u = (x * sigma_s_i_ratio) + (denoised * (1.0f - sigma_s_i_ratio));

auto denoised2_opt = model(u, sigma_s, i + 1);
if (denoised2_opt.empty()) {
Expand All @@ -1053,7 +1053,7 @@ static sd::Tensor<float> sample_dpmpp_2s_ancestral_flow(denoise_cb_t model,
}

float sigma_down_i_ratio = sigma_down / sigma;
x = (x * sigma_down_i_ratio) + (D_i * (1.0f - sigma_down_i_ratio));
x = (x * sigma_down_i_ratio) + (D_i * (1.0f - sigma_down_i_ratio));

if (sigma_to > 0.0f && eta > 0.0f) {
x = alpha_scale * x + sd::Tensor<float>::randn_like(x, rng) * sigma_up;
Expand All @@ -1064,8 +1064,6 @@ static sd::Tensor<float> sample_dpmpp_2s_ancestral_flow(denoise_cb_t model,
return x;
}



static sd::Tensor<float> sample_dpmpp_2m(denoise_cb_t model,
sd::Tensor<float> x,
const std::vector<float>& sigmas) {
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