DarthAffe/stable-diffusion.cpp
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chore: format code

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leejet committed 2026-10-24 01:23:42 +08:00
1 parent 40b1788476
commit e0ed724e28
69 files changed
+711 -441
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src/model/diffusion/qwen_image_2_1.hpp
+4 -4
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@@ -486,8 +486,8 @@ namespace Qwen {
}
QwenImage21PrefixCache cache;
if (prefix_cache_enabled && !prefix_cache_disabled && extra != nullptr && extra->prefix_id != 0 && layout.prefix_length > 0) {
cache.name = "qwen_image_2_1.prefix." + std::to_string(extra->prefix_id) +
".circular." + std::to_string(circular_x_enabled) + std::to_string(circular_y_enabled);
cache.name = "qwen_image_2_1.prefix." + std::to_string(extra->prefix_id) +
".circular." + std::to_string(circular_x_enabled) + std::to_string(circular_y_enabled);
cache.prefix_length = layout.prefix_length;
if (prefix_cache_type != GGML_TYPE_COUNT) {
cache.type = prefix_cache_type;
@@ -536,7 +536,7 @@ namespace Qwen {
auto build = [&]() {
auto graph = new_graph_custom(QWEN_IMAGE_GRAPH_SIZE * 2);
auto pe = ggml_new_tensor_4d(compute_ctx, GGML_TYPE_F32, 2, 2, config.head_dim / 2,
layout.positions.size() - (cached ? layout.prefix_length : 0));
layout.positions.size() - (cached ? layout.prefix_length : 0));
set_backend_tensor_data(pe, pe_data.data());
std::vector<ggml_tensor*> masks, ref_inputs;
for (const auto& mask : mask_data) {
@@ -549,7 +549,7 @@ namespace Qwen {
}
auto ctx = get_context(graph);
auto out = model.forward(&ctx, make_input(x), make_input(*inputs.timesteps), cached ? nullptr : make_input(context),
ref_inputs, pe, layout, masks, checked_cache);
ref_inputs, pe, layout, masks, checked_cache);
if (!flash_attn_used) {
return static_cast<ggml_cgraph*>(nullptr);
}