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https://github.com/leejet/stable-diffusion.cpp.git
synced 2026-07-23 11:20:53 -05:00
feat: add DPM++ 2M SDE sampler (#1742)
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@@ -1106,7 +1106,7 @@ ArgOptions SDGenerationParams::get_options() {
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&sample_params.guidance.slg.layer_end},
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{"",
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"--eta",
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"noise multiplier (default: 0 for ddim_trailing, tcd, res_multistep and res_2s; 1 for euler_a, er_sde and dpm++2s_a)",
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"noise multiplier (default: 0 for ddim_trailing, tcd, res_multistep and res_2s; 1 for euler_a, er_sde, dpm++2s_a and dpm++2m_sde)",
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&sample_params.eta},
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{"",
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"--flow-shift",
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@@ -1138,7 +1138,7 @@ ArgOptions SDGenerationParams::get_options() {
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&high_noise_sample_params.guidance.slg.layer_end},
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{"",
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"--high-noise-eta",
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"(high noise) noise multiplier (default: 0 for ddim_trailing, tcd, res_multistep and res_2s; 1 for euler_a, er_sde and dpm++2s_a)",
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"(high noise) noise multiplier (default: 0 for ddim_trailing, tcd, res_multistep and res_2s; 1 for euler_a, er_sde, dpm++2s_a and dpm++2m_sde)",
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&high_noise_sample_params.eta},
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{"",
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"--strength",
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@@ -1509,12 +1509,12 @@ ArgOptions SDGenerationParams::get_options() {
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on_seed_arg},
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{"",
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"--sampling-method",
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"sampling method, one of [euler, euler_a, heun, dpm2, dpm++2s_a, dpm++2m, dpm++2mv2, ipndm, ipndm_v, lcm, ddim_trailing, tcd, res_multistep, res_2s, er_sde, euler_cfg_pp, euler_a_cfg_pp]"
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"sampling method, one of [euler, euler_a, heun, dpm2, dpm++2s_a, dpm++2m, dpm++2mv2, dpm++2m_sde, ipndm, ipndm_v, lcm, ddim_trailing, tcd, res_multistep, res_2s, er_sde, euler_cfg_pp, euler_a_cfg_pp]"
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"(default: euler for Flux/SD3/Wan, euler_a otherwise)",
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on_sample_method_arg},
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{"",
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"--high-noise-sampling-method",
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"(high noise) sampling method, one of [euler, euler_a, heun, dpm2, dpm++2s_a, dpm++2m, dpm++2mv2, ipndm, ipndm_v, lcm, ddim_trailing, tcd, res_multistep, res_2s, er_sde, euler_cfg_pp, euler_a_cfg_pp]"
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"(high noise) sampling method, one of [euler, euler_a, heun, dpm2, dpm++2s_a, dpm++2m, dpm++2mv2, dpm++2m_sde, ipndm, ipndm_v, lcm, ddim_trailing, tcd, res_multistep, res_2s, er_sde, euler_cfg_pp, euler_a_cfg_pp]"
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" default: euler for Flux/SD3/Wan, euler_a otherwise",
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on_high_noise_sample_method_arg},
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{"",
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@@ -63,6 +63,8 @@ static enum sample_method_t get_sdapi_sample_method(std::string name) {
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{"ddim", DDIM_TRAILING_SAMPLE_METHOD},
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{"dpm++ 2m", DPMPP2M_SAMPLE_METHOD},
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{"k_dpmpp_2m", DPMPP2M_SAMPLE_METHOD},
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{"dpm++ 2m sde", DPMPP2M_SDE_SAMPLE_METHOD},
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{"k_dpmpp_2m_sde", DPMPP2M_SDE_SAMPLE_METHOD},
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{"res multistep", RES_MULTISTEP_SAMPLE_METHOD},
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{"k_res_multistep", RES_MULTISTEP_SAMPLE_METHOD},
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{"res 2s", RES_2S_SAMPLE_METHOD},
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@@ -54,6 +54,7 @@ enum sample_method_t {
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EULER_CFG_PP_SAMPLE_METHOD,
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EULER_A_CFG_PP_SAMPLE_METHOD,
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EULER_GE_SAMPLE_METHOD,
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DPMPP2M_SDE_SAMPLE_METHOD,
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SAMPLE_METHOD_COUNT
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};
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@@ -1814,6 +1814,52 @@ static sd::Tensor<float> sample_dpmpp_2m_v2(denoise_cb_t model,
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return x;
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}
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// DPM-Solver++(2M) SDE, midpoint variant. Ref: Lu et al. arXiv:2211.01095;
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// k-diffusion sample_dpmpp_2m_sde.
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static sd::Tensor<float> sample_dpmpp_2m_sde(denoise_cb_t model,
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sd::Tensor<float> x,
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const std::vector<float>& sigmas,
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std::shared_ptr<RNG> rng,
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float eta) {
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sd::Tensor<float> old_denoised;
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bool have_old_denoised = false;
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float h_last = 0.f;
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int steps = static_cast<int>(sigmas.size()) - 1;
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for (int i = 0; i < steps; i++) {
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auto denoised_opt = model(x, sigmas[i], i + 1);
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if (denoised_opt.pred.empty()) {
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return {};
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}
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sd::Tensor<float> denoised = std::move(denoised_opt.pred);
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if (sigmas[i + 1] == 0.f) {
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x = denoised;
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} else {
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float t = -std::log(sigmas[i]);
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float s = -std::log(sigmas[i + 1]);
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float h = s - t;
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float eta_h = eta * h;
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float a = sigmas[i + 1] / sigmas[i] * std::exp(-eta_h);
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float b = -std::expm1(-h - eta_h);
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x = a * x + b * denoised;
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if (have_old_denoised) {
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float r = h_last / h;
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x += (0.5f * b / r) * (denoised - old_denoised);
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}
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if (eta > 0.f) {
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x += sd::Tensor<float>::randn_like(x, rng) * (sigmas[i + 1] * std::sqrt(-std::expm1(-2.f * eta_h)));
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}
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h_last = h;
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}
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old_denoised = denoised;
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have_old_denoised = true;
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}
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return x;
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}
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using SamplerExtraArgs = KeyValueArgs;
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static sd::Tensor<float> sample_lcm(denoise_cb_t model,
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@@ -2490,6 +2536,8 @@ static sd::Tensor<float> sample_k_diffusion(sample_method_t method,
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return sample_res_2s(model, std::move(x), sigmas, rng, is_flow_denoiser, eta);
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case ER_SDE_SAMPLE_METHOD:
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return sample_er_sde(model, std::move(x), sigmas, rng, is_flow_denoiser, eta);
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case DPMPP2M_SDE_SAMPLE_METHOD:
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return sample_dpmpp_2m_sde(model, std::move(x), sigmas, rng, eta);
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case DDIM_TRAILING_SAMPLE_METHOD:
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// DDIM is equivalent to Euler Ancestral with the Simple scheduler
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return sample_euler_ancestral(model, std::move(x), sigmas, rng, is_flow_denoiser, eta);
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@@ -2818,6 +2818,7 @@ const char* sample_method_to_str[] = {
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"euler_cfg_pp",
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"euler_a_cfg_pp",
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"euler_ge",
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"dpm++2m_sde",
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};
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const char* sd_sample_method_name(enum sample_method_t sample_method) {
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@@ -3519,6 +3520,7 @@ static float resolve_eta(sd_ctx_t* sd_ctx,
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case DPMPP2S_A_SAMPLE_METHOD:
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case ER_SDE_SAMPLE_METHOD:
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case EULER_A_CFG_PP_SAMPLE_METHOD:
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case DPMPP2M_SDE_SAMPLE_METHOD:
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return 1.0f;
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default:;
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}
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