block info

Author: Haoming02

comfy/ldm/lumina/model.py

@@ -625,7 +625,10 @@ def _forward(self, x, timesteps, context, num_tokens, attention_mask=None, trans
         img, mask, img_size, cap_size, freqs_cis = self.patchify_and_embed(x, cap_feats, cap_mask, t, num_tokens, transformer_options=transformer_options)
         freqs_cis = freqs_cis.to(img.device)
 
+        transformer_options["total_blocks"] = len(self.layers)
+        transformer_options["block_type"] = "double"
         for i, layer in enumerate(self.layers):
+            transformer_options["block_index"] = torch.tensor(i, dtype=torch.uint8, device=img.device)
             img = layer(img, mask, freqs_cis, adaln_input, transformer_options=transformer_options)
             if "double_block" in patches:
                 for p in patches["double_block"]: