diff --git a/src/model/diffusion/minimax_h3.hpp b/src/model/diffusion/minimax_h3.hpp
index 80c29ab5..ed7c5ac7 100644
--- a/src/model/diffusion/minimax_h3.hpp
+++ b/src/model/diffusion/minimax_h3.hpp
@@ -264,6 +264,9 @@ namespace MiniMaxH3 {
             for (int64_t i = 0; i < num_layers; ++i) {
                 auto block = std::dynamic_pointer_cast<TokenRefinerBlock>(blocks["blocks." + std::to_string(i)]);
                 x          = block->forward(ctx, x);
+                sd::ggml_graph_cut::mark_graph_cut(x,
+                                                   "minimax_h3.token_refiner.blocks." + std::to_string(i),
+                                                   "hidden_states");
             }
             return std::dynamic_pointer_cast<RMSNorm>(blocks["final_norm"])->forward(ctx, x);
         }
@@ -527,7 +530,11 @@ namespace MiniMaxH3 {
             GGML_ASSERT(context->ne[0] == config.text_dim);
             auto condition_proj = std::dynamic_pointer_cast<Linear>(blocks["condition_proj"]);
             auto token_refiner  = std::dynamic_pointer_cast<TokenRefiner>(blocks["token_refiner"]);
-            return token_refiner->forward(ctx, condition_proj->forward(ctx, context));
+            auto projected      = condition_proj->forward(ctx, context);
+            sd::ggml_graph_cut::mark_graph_cut(projected,
+                                               "minimax_h3.condition_proj",
+                                               "hidden_states");
+            return token_refiner->forward(ctx, projected);
         }
 
         ggml_tensor* time_embedding(GGMLRunnerContext* ctx,
diff --git a/src/model/diffusion/qwen_image_2_1.hpp b/src/model/diffusion/qwen_image_2_1.hpp
index 1364de13..37483125 100644
--- a/src/model/diffusion/qwen_image_2_1.hpp
+++ b/src/model/diffusion/qwen_image_2_1.hpp
@@ -178,13 +178,13 @@ namespace Qwen {
                 auto h = std::dynamic_pointer_cast<Linear>(blocks[name])->forward(ctx, x);
                 return ggml_reshape_4d(ctx->ggml_ctx, h, dim_head, heads, x->ne[1], x->ne[2]);
             };
-            auto q              = project("to_q");
-            auto k              = project("to_k");
-            auto v              = project("to_v");
-            q                   = std::dynamic_pointer_cast<RMSNorm>(blocks["norm_q"])->forward(ctx, q);
-            k                   = std::dynamic_pointer_cast<RMSNorm>(blocks["norm_k"])->forward(ctx, k);
-            q                   = Rope::apply_rope(ctx->ggml_ctx, q, pe);
-            k                   = Rope::apply_rope(ctx->ggml_ctx, k, pe);
+            auto q = project("to_q");
+            auto k = project("to_k");
+            auto v = project("to_v");
+            q      = std::dynamic_pointer_cast<RMSNorm>(blocks["norm_q"])->forward(ctx, q);
+            k      = std::dynamic_pointer_cast<RMSNorm>(blocks["norm_k"])->forward(ctx, k);
+            q      = Rope::apply_rope(ctx->ggml_ctx, q, pe);
+            k      = Rope::apply_rope(ctx->ggml_ctx, k, pe);
             if (cache.mode == QwenImage21PrefixCache::Mode::STORE) {
                 auto persist = [&](ggml_tensor* tensor, int axis, const char* name) {
                     auto part = ggml_ext_slice(ctx->ggml_ctx, tensor, axis, 0, cache.prefix_length);