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feat: adapt LCM for flow models (#1413)

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Wagner Bruna 2026-04-19 06:49:46 -03:00 committed by GitHub
parent 7d33d4b2dd
commit e77e4c46bf
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1 changed files with 6 additions and 2 deletions
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8
src/denoiser.hpp
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@ -1137,7 +1137,8 @@ static sd::Tensor<float> sample_dpmpp_2m_v2(denoise_cb_t model,
static sd::Tensor<float> sample_lcm(denoise_cb_t model,
sd::Tensor<float> x,
const std::vector<float>& sigmas,
std::shared_ptr<RNG> rng) {
std::shared_ptr<RNG> rng,
bool is_flow_denoiser) {
int steps = static_cast<int>(sigmas.size()) - 1;
for (int i = 0; i < steps; i++) {
auto denoised_opt = model(x, sigmas[i], i + 1);
@ -1146,6 +1147,9 @@ static sd::Tensor<float> sample_lcm(denoise_cb_t model,
}
x = std::move(denoised_opt);
if (sigmas[i + 1] > 0) {
if (is_flow_denoiser) {
x *= (1 - sigmas[i + 1]);
}
x += sd::Tensor<float>::randn_like(x, rng) * sigmas[i + 1];
}
}
@ -1671,7 +1675,7 @@ static sd::Tensor<float> sample_k_diffusion(sample_method_t method,
case DPMPP2Mv2_SAMPLE_METHOD:
return sample_dpmpp_2m_v2(model, std::move(x), sigmas);
case LCM_SAMPLE_METHOD:
return sample_lcm(model, std::move(x), sigmas, rng);
return sample_lcm(model, std::move(x), sigmas, rng, is_flow_denoiser);
case IPNDM_SAMPLE_METHOD:
return sample_ipndm(model, std::move(x), sigmas);
case IPNDM_V_SAMPLE_METHOD: