diff --git a/python/sglang/multimodal_gen/runtime/managers/scheduler.py b/python/sglang/multimodal_gen/runtime/managers/scheduler.py
index c11c2c850..1c26655f9 100644
--- a/python/sglang/multimodal_gen/runtime/managers/scheduler.py
+++ b/python/sglang/multimodal_gen/runtime/managers/scheduler.py
@@ -4,12 +4,13 @@
 import asyncio
 import os
 import pickle
+import tempfile
 from collections import deque
 from typing import Any, List
 
 import zmq
 
-from sglang.multimodal_gen.configs.pipeline_configs.base import ModelTaskType
+from sglang.multimodal_gen.runtime.distributed import get_world_group
 from sglang.multimodal_gen.runtime.entrypoints.openai.utils import (
     _parse_size,
     save_image_to_path,
@@ -198,32 +199,24 @@ class Scheduler:
             # insert warmup reqs constructed with each warmup-resolution
             self._warmup_total = len(self.server_args.warmup_resolutions)
             self._warmup_processed = 0
+            task_type = self.server_args.pipeline_config.task_type
+
+            requires_warmup_image = task_type.accepts_image_input()
+            warmup_input_path = None
+            if requires_warmup_image:
+                warmup_input_path = self._prepare_shared_warmup_image_path()
 
             for resolution in self.server_args.warmup_resolutions:
                 width, height = _parse_size(resolution)
-                task_type = self.server_args.pipeline_config.task_type
 
-                if task_type in (
-                    ModelTaskType.I2I,
-                    ModelTaskType.TI2I,
-                    ModelTaskType.I2V,
-                    ModelTaskType.TI2V,
-                ):
-                    uploads_dir = os.path.join("outputs", "uploads")
-                    os.makedirs(uploads_dir, exist_ok=True)
-                    input_path = asyncio.run(
-                        save_image_to_path(
-                            MINIMUM_PICTURE_BASE64_FOR_WARMUP,
-                            os.path.join(uploads_dir, "warmup_image.jpg"),
-                        )
-                    )
+                if requires_warmup_image:
                     req = Req(
                         data_type=task_type.data_type(),
                         width=width,
                         height=height,
                         prompt="",
                         negative_prompt="",
-                        image_path=[input_path],
+                        image_path=[warmup_input_path],
                     )
                 else:
                     req = Req(
@@ -237,6 +230,53 @@ class Scheduler:
             # if server is warmed-up, set this flag to avoid req-based warmup
             self.warmed_up = True
 
+    def _prepare_shared_warmup_image_path(self) -> str:
+        world_group = get_world_group()
+        src_rank = world_group.ranks[0]
+
+        warmup_sync: dict[str, str | None]
+        if world_group.rank == src_rank:
+            try:
+                if self.server_args.input_save_path is not None:
+                    uploads_dir = self.server_args.input_save_path
+                    os.makedirs(uploads_dir, exist_ok=True)
+                else:
+                    uploads_dir = tempfile.mkdtemp(prefix="sglang_input_")
+                warmup_image_base = os.path.join(uploads_dir, "warmup_image")
+                input_path = asyncio.run(
+                    save_image_to_path(
+                        MINIMUM_PICTURE_BASE64_FOR_WARMUP,
+                        warmup_image_base,
+                    )
+                )
+                warmup_sync = {"input_path": input_path, "error": None}
+            except Exception as e:
+                warmup_sync = {"input_path": None, "error": str(e)}
+        else:
+            warmup_sync = {}
+
+        # Sync rank 0's warmup-image write result (path or error) to all ranks.
+        warmup_sync = broadcast_pyobj(
+            warmup_sync,
+            world_group.rank,
+            world_group.cpu_group,
+            src=src_rank,
+        )
+        if not isinstance(warmup_sync, dict):
+            raise RuntimeError("Invalid warmup sync payload received across ranks")
+
+        error = warmup_sync.get("error")
+        if error is not None:
+            raise RuntimeError(
+                f"Warmup image preparation failed on rank {src_rank}: {error}"
+            )
+
+        input_path = warmup_sync.get("input_path")
+        if not isinstance(input_path, str) or not input_path:
+            raise RuntimeError("Warmup image preparation returned empty input path")
+
+        return input_path
+
     def process_received_reqs_with_req_based_warmup(
         self, recv_reqs: List[tuple[bytes, Any]]
     ) -> List[tuple[bytes, Any]]:
@@ -406,7 +446,7 @@ class Scheduler:
                                 f"Warmup req ({self._warmup_processed}/{self._warmup_total}) processing failed"
                             )
                         else:
-                            logger.info(f"Warmup req processing failed")
+                            logger.info("Warmup req processing failed")
 
                 # TODO: Support sending back to multiple identities if batched
                 self.return_result(output_batch, identities[0], is_warmup=is_warmup)