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/video.cpp
+2 -8
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@@ -1157,17 +1157,12 @@ namespace sd::pipeline {
condition_params.zero_out_masked = true;
condition_params.ref_images = &latents.ref_images;
condition_params.minimax_h3_references = &latents.minimax_presentation_refs;
condition_params.allow_cache =
sd_version_is_minimax_h3(sd->version) &&
sd->conditioning_cache_allowed_ &&
!request.use_uncond;
if (sd_version_is_lingbot_video(sd->version) || sd_version_is_minimax_h3(sd->version)) {
condition_params.ref_image_params.vlm_resize_mode = RefImageResizeMode::AREA;
}
int64_t prepare_start_ms = ggml_time_ms();
embeds.cond = sd->cond_stage_model->get_learned_condition(sd->n_threads,
condition_params);
embeds.cond = sd->get_learned_condition(condition_params);
if (embeds.cond.empty()) {
LOG_ERROR("failed to encode video prompt");
return std::nullopt;
@@ -1192,8 +1187,7 @@ namespace sd::pipeline {
}
if (request.use_uncond) {
condition_params.text = request.negative_prompt;
embeds.uncond = sd->cond_stage_model->get_learned_condition(sd->n_threads,
condition_params);
embeds.uncond = sd->get_learned_condition(condition_params);
if (embeds.uncond.empty()) {
LOG_ERROR("failed to encode negative video prompt");
return std::nullopt;