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https://github.com/leejet/stable-diffusion.cpp.git
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@@ -48,8 +48,7 @@ const char* sampling_methods_str[] = {
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"iPNDM_v",
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"LCM",
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"DDIM \"trailing\"",
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"TCD"
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};
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"TCD"};
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/*================================================== Helper Functions ================================================*/
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@@ -696,7 +695,7 @@ public:
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float curr_multiplier = kv.second;
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lora_state_diff[lora_name] -= curr_multiplier;
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}
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size_t rm = lora_state_diff.size() - lora_state.size();
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if (rm != 0) {
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LOG_INFO("Attempting to apply %lu LoRAs (removing %lu applied LoRAs)", lora_state.size(), rm);
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@@ -815,11 +814,11 @@ public:
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int start_merge_step,
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SDCondition id_cond,
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std::vector<ggml_tensor*> ref_latents = {},
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std::vector<int> skip_layers = {},
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float slg_scale = 0,
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float skip_layer_start = 0.01,
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float skip_layer_end = 0.2,
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ggml_tensor* noise_mask = nullptr) {
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std::vector<int> skip_layers = {},
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float slg_scale = 0,
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float skip_layer_start = 0.01,
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float skip_layer_end = 0.2,
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ggml_tensor* noise_mask = nullptr) {
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LOG_DEBUG("Sample");
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struct ggml_init_params params;
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size_t data_size = ggml_row_size(init_latent->type, init_latent->ne[0]);
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@@ -1973,7 +1972,6 @@ SD_API sd_image_t* img2vid(sd_ctx_t* sd_ctx,
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return result_images;
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}
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sd_image_t* edit(sd_ctx_t* sd_ctx,
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sd_image_t* ref_images,
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int ref_images_count,
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@@ -2062,7 +2060,7 @@ sd_image_t* edit(sd_ctx_t* sd_ctx,
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}
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ref_latents.push_back(latent);
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}
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size_t t1 = ggml_time_ms();
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LOG_INFO("encode_first_stage completed, taking %.2fs", (t1 - t0) * 1.0f / 1000);
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