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https://github.com/leejet/stable-diffusion.cpp.git
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feat: add qwen image layered support (#1119)
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@@ -575,7 +575,7 @@ namespace ZImage {
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const sd::Tensor<float>& timesteps_tensor,
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const sd::Tensor<float>& context_tensor,
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const std::vector<sd::Tensor<float>>& ref_latents_tensor = {},
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bool increase_ref_index = false) {
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Rope::RefIndexMode ref_index_mode = Rope::RefIndexMode::FIXED) {
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ggml_cgraph* gf = new_graph_custom(Z_IMAGE_GRAPH_SIZE);
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ggml_tensor* x = make_input(x_tensor);
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ggml_tensor* timesteps = make_input(timesteps_tensor);
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@@ -595,7 +595,7 @@ namespace ZImage {
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static_cast<int>(context->ne[1]),
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SEQ_MULTI_OF,
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ref_latents,
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increase_ref_index,
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ref_index_mode,
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config.theta,
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circular_y_enabled,
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circular_x_enabled,
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@@ -626,12 +626,12 @@ namespace ZImage {
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const sd::Tensor<float>& timesteps,
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const sd::Tensor<float>& context,
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const std::vector<sd::Tensor<float>>& ref_latents = {},
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bool increase_ref_index = false) {
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Rope::RefIndexMode ref_index_mode = Rope::RefIndexMode::FIXED) {
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// x: [N, in_channels, h, w]
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// timesteps: [N, ]
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// context: [N, max_position, hidden_size]
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auto get_graph = [&]() -> ggml_cgraph* {
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return build_graph(x, timesteps, context, ref_latents, increase_ref_index);
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return build_graph(x, timesteps, context, ref_latents, ref_index_mode);
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};
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return restore_trailing_singleton_dims(GGMLRunner::compute<float>(get_graph, n_threads, false, false, false), x.dim());
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@@ -647,7 +647,7 @@ namespace ZImage {
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*diffusion_params.timesteps,
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tensor_or_empty(diffusion_params.context),
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diffusion_params.ref_latents ? *diffusion_params.ref_latents : empty_ref_latents,
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diffusion_params.increase_ref_index);
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diffusion_params.ref_index_mode);
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}
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void test() {
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@@ -681,7 +681,7 @@ namespace ZImage {
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timesteps,
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context,
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{},
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false);
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Rope::RefIndexMode::FIXED);
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int64_t t1 = ggml_time_ms();
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GGML_ASSERT(!out_opt.empty());
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