mirror of
https://github.com/leejet/stable-diffusion.cpp.git
synced 2026-07-28 22:00:52 -05:00
feat: add CosXL support (#683)
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@@ -103,6 +103,9 @@ public:
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bool vae_tiling = false;
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bool stacked_id = false;
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bool is_using_v_parameterization = false;
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bool is_using_edm_v_parameterization = false;
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std::map<std::string, struct ggml_tensor*> tensors;
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std::string lora_model_dir;
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@@ -543,12 +546,17 @@ public:
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LOG_INFO("loading model from '%s' completed, taking %.2fs", model_path.c_str(), (t1 - t0) * 1.0f / 1000);
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// check is_using_v_parameterization_for_sd2
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bool is_using_v_parameterization = false;
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if (sd_version_is_sd2(version)) {
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if (is_using_v_parameterization_for_sd2(ctx, sd_version_is_inpaint(version))) {
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is_using_v_parameterization = true;
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}
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} else if (sd_version_is_sdxl(version)) {
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if (model_loader.tensor_storages_types.find("edm_vpred.sigma_max") != model_loader.tensor_storages_types.end()) {
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// CosXL models
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// TODO: get sigma_min and sigma_max values from file
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is_using_edm_v_parameterization = true;
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}
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if (model_loader.tensor_storages_types.find("v_pred") != model_loader.tensor_storages_types.end()) {
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is_using_v_parameterization = true;
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}
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@@ -573,6 +581,9 @@ public:
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} else if (is_using_v_parameterization) {
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LOG_INFO("running in v-prediction mode");
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denoiser = std::make_shared<CompVisVDenoiser>();
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} else if (is_using_edm_v_parameterization) {
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LOG_INFO("running in v-prediction EDM mode");
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denoiser = std::make_shared<EDMVDenoiser>();
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} else {
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LOG_INFO("running in eps-prediction mode");
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}
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@@ -1396,7 +1407,7 @@ sd_image_t* generate_image(sd_ctx_t* sd_ctx,
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SDCondition uncond;
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if (cfg_scale != 1.0) {
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bool force_zero_embeddings = false;
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if (sd_version_is_sdxl(sd_ctx->sd->version) && negative_prompt.size() == 0) {
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if (sd_version_is_sdxl(sd_ctx->sd->version) && negative_prompt.size() == 0 && !sd_ctx->sd->is_using_edm_v_parameterization) {
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force_zero_embeddings = true;
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}
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uncond = sd_ctx->sd->cond_stage_model->get_learned_condition(work_ctx,
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