DarthAffe/stable-diffusion.cpp
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feat: add configurable conditioning cache for all models (#2034)

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leejet authored and GitHub committed 2026-09-23 22:25:42 +08:00
1 parent 241518b35d
commit e6281b6318
12 files changed
+172 -51
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src/pipeline/image.cpp
+3 -6
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@@ -441,8 +441,7 @@ namespace sd::pipeline {
sd->compute_ip_adapter_tokens(sd_img_gen_params->ip_adapter_image, sd_img_gen_params->ip_adapter_strength);
int64_t prepare_start_ms = ggml_time_ms();
condition_params.zero_out_masked = false;
auto cond = sd->cond_stage_model->get_learned_condition(sd->n_threads,
condition_params);
auto cond = sd->get_learned_condition(condition_params);
if (cond.empty()) {
LOG_ERROR("failed to encode prompt");
return std::nullopt;
@@ -480,8 +479,7 @@ namespace sd::pipeline {
// LLaDA-Image CFG keeps the source latent but drops its SigVQ features.
condition_params.ref_images = nullptr;
}
uncond = sd->cond_stage_model->get_learned_condition(sd->n_threads,
condition_params);
uncond = sd->get_learned_condition(condition_params);
if (uncond.empty()) {
LOG_ERROR("failed to encode negative prompt");
return std::nullopt;
@@ -509,8 +507,7 @@ namespace sd::pipeline {
if (use_ref_latent_img_cfg) {
condition_params.ref_images = &empty_ref_images;
}
img_uncond = sd->cond_stage_model->get_learned_condition(sd->n_threads,
condition_params);
img_uncond = sd->get_learned_condition(condition_params);
if (img_uncond.empty()) {
LOG_ERROR("failed to encode image guidance prompt");
return std::nullopt;