diff --git a/tests/e2e/offline_inference/test_bagel_img2img.py b/tests/e2e/offline_inference/test_bagel_img2img.py
index 63d2a37da79..be79aa7348a 100644
--- a/tests/e2e/offline_inference/test_bagel_img2img.py
+++ b/tests/e2e/offline_inference/test_bagel_img2img.py
@@ -32,30 +32,30 @@
 # prompt='Change the grass color to red',
 # input image: 2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg
 REFERENCE_PIXELS = [
-    {"position": (100, 100), "rgb": (157, 172, 217)},
-    {"position": (400, 50), "rgb": (105, 144, 218)},
-    {"position": (700, 100), "rgb": (118, 159, 233)},
-    {"position": (150, 400), "rgb": (195, 34, 60)},
-    {"position": (512, 336), "rgb": (222, 214, 193)},
-    {"position": (700, 400), "rgb": (197, 15, 43)},
-    {"position": (100, 600), "rgb": (105, 13, 18)},
-    {"position": (400, 600), "rgb": (169, 33, 44)},
-    {"position": (700, 600), "rgb": (101, 86, 93)},
-    {"position": (256, 256), "rgb": (181, 202, 222)},
+    {"position": (100, 100), "rgb": (156, 172, 217)},
+    {"position": (400, 50), "rgb": (105, 144, 217)},
+    {"position": (700, 100), "rgb": (118, 159, 232)},
+    {"position": (150, 400), "rgb": (180, 22, 52)},
+    {"position": (512, 336), "rgb": (221, 211, 194)},
+    {"position": (700, 400), "rgb": (192, 10, 46)},
+    {"position": (100, 600), "rgb": (102, 12, 22)},
+    {"position": (400, 600), "rgb": (161, 28, 47)},
+    {"position": (700, 600), "rgb": (100, 87, 94)},
+    {"position": (256, 256), "rgb": (181, 201, 221)},
 ]
 
 if current_omni_platform.is_rocm():
     REFERENCE_PIXELS = [
-        {"position": (100, 100), "rgb": (156, 172, 215)},
-        {"position": (400, 50), "rgb": (106, 144, 216)},
-        {"position": (700, 100), "rgb": (118, 158, 231)},
-        {"position": (150, 400), "rgb": (183, 23, 48)},
-        {"position": (512, 336), "rgb": (218, 215, 191)},
-        {"position": (700, 400), "rgb": (194, 14, 42)},
-        {"position": (100, 600), "rgb": (105, 10, 16)},
-        {"position": (400, 600), "rgb": (167, 33, 46)},
-        {"position": (700, 600), "rgb": (102, 86, 92)},
-        {"position": (256, 256), "rgb": (181, 201, 220)},
+        {"position": (100, 100), "rgb": (156, 172, 217)},
+        {"position": (400, 50), "rgb": (105, 144, 217)},
+        {"position": (700, 100), "rgb": (118, 159, 232)},
+        {"position": (150, 400), "rgb": (180, 22, 52)},
+        {"position": (512, 336), "rgb": (221, 211, 194)},
+        {"position": (700, 400), "rgb": (192, 10, 46)},
+        {"position": (100, 600), "rgb": (102, 12, 22)},
+        {"position": (400, 600), "rgb": (161, 28, 47)},
+        {"position": (700, 600), "rgb": (100, 87, 94)},
+        {"position": (256, 256), "rgb": (181, 201, 221)},
     ]
 
 PIXEL_TOLERANCE = 10
diff --git a/tests/e2e/offline_inference/test_bagel_text2img.py b/tests/e2e/offline_inference/test_bagel_text2img.py
index e45d64f2ac5..534b8730682 100644
--- a/tests/e2e/offline_inference/test_bagel_text2img.py
+++ b/tests/e2e/offline_inference/test_bagel_text2img.py
@@ -37,30 +37,30 @@
 # "Generated with seed=52, num_inference_steps=15,
 # prompt='A futuristic city skyline at twilight, cyberpunk style'"
 REFERENCE_PIXELS = [
-    {"position": (100, 100), "rgb": (121, 118, 100)},
-    {"position": (400, 50), "rgb": (163, 162, 143)},
-    {"position": (700, 100), "rgb": (170, 156, 127)},
-    {"position": (150, 400), "rgb": (129, 127, 112)},
-    {"position": (512, 512), "rgb": (135, 61, 59)},
-    {"position": (700, 400), "rgb": (205, 107, 43)},
-    {"position": (100, 700), "rgb": (197, 177, 157)},
-    {"position": (400, 700), "rgb": (139, 107, 86)},
-    {"position": (700, 700), "rgb": (247, 205, 146)},
-    {"position": (256, 256), "rgb": (171, 160, 153)},
+    {"position": (100, 100), "rgb": (115, 113, 94)},
+    {"position": (400, 50), "rgb": (159, 160, 144)},
+    {"position": (700, 100), "rgb": (164, 151, 123)},
+    {"position": (150, 400), "rgb": (120, 121, 107)},
+    {"position": (512, 512), "rgb": (165, 133, 127)},
+    {"position": (700, 400), "rgb": (217, 130, 66)},
+    {"position": (100, 700), "rgb": (191, 168, 152)},
+    {"position": (400, 700), "rgb": (130, 96, 77)},
+    {"position": (700, 700), "rgb": (247, 203, 140)},
+    {"position": (256, 256), "rgb": (167, 156, 150)},
 ]
 
 if current_omni_platform.is_rocm():
     REFERENCE_PIXELS = [
-        {"position": (100, 100), "rgb": (123, 119, 100)},
-        {"position": (400, 50), "rgb": (162, 161, 142)},
-        {"position": (700, 100), "rgb": (171, 156, 127)},
-        {"position": (150, 400), "rgb": (131, 128, 112)},
-        {"position": (512, 512), "rgb": (134, 61, 59)},
-        {"position": (700, 400), "rgb": (204, 107, 43)},
-        {"position": (100, 700), "rgb": (201, 180, 165)},
-        {"position": (400, 700), "rgb": (140, 108, 87)},
-        {"position": (700, 700), "rgb": (247, 205, 145)},
-        {"position": (256, 256), "rgb": (171, 160, 153)},
+        {"position": (100, 100), "rgb": (115, 113, 94)},
+        {"position": (400, 50), "rgb": (159, 160, 144)},
+        {"position": (700, 100), "rgb": (164, 151, 123)},
+        {"position": (150, 400), "rgb": (120, 121, 107)},
+        {"position": (512, 512), "rgb": (165, 133, 127)},
+        {"position": (700, 400), "rgb": (217, 130, 66)},
+        {"position": (100, 700), "rgb": (191, 168, 152)},
+        {"position": (400, 700), "rgb": (130, 96, 77)},
+        {"position": (700, 700), "rgb": (247, 203, 140)},
+        {"position": (256, 256), "rgb": (167, 156, 150)},
     ]
 
 # Maximum allowed difference per color channel
diff --git a/vllm_omni/diffusion/models/bagel/pipeline_bagel.py b/vllm_omni/diffusion/models/bagel/pipeline_bagel.py
index a3d2259e643..90baf5f6761 100644
--- a/vllm_omni/diffusion/models/bagel/pipeline_bagel.py
+++ b/vllm_omni/diffusion/models/bagel/pipeline_bagel.py
@@ -397,11 +397,26 @@ def forward(self, req: OmniDiffusionRequest) -> DiffusionOutput:
                     cfg_text_context["ropes"] = cfg_text_metadata["ropes"]
                 else:
                     cfg_text_context["ropes"] = [cfg_text_seq_len]
-
-            if cfg_img_kv is None and cfg_text_kv is not None:
-                cfg_img_kv = injected_kv
-
-            if cfg_img_kv is not None:
+            else:
+                # No cfg_text companion received.  For text2img this is the
+                # expected path: original BAGEL uses an empty KV cache (0
+                # tokens) as the text-unconditional branch.  Keep the default
+                # empty NaiveCache in cfg_text_context and preserve the
+                # original cfg_text_scale so CFG still applies.
+                pass
+
+            if cfg_img_kv is None:
+                # text2img multi-stage: cfg_img reuses gen KV (positive prompt,
+                # no image), mirroring forward_cache_update_text on cfg_img_context
+                # in the single-stage path.
+                cfg_img_seq_len = injected_kv.key_cache[0].shape[0]
+                cfg_img_context["past_key_values"] = injected_kv
+                cfg_img_context["kv_lens"] = [cfg_img_seq_len]
+                if req.sampling_params.kv_metadata and "ropes" in req.sampling_params.kv_metadata:
+                    cfg_img_context["ropes"] = req.sampling_params.kv_metadata["ropes"]
+                else:
+                    cfg_img_context["ropes"] = [cfg_img_seq_len]
+            else:
                 cfg_img_seq_len = cfg_img_kv.key_cache[0].shape[0]
                 cfg_img_context["past_key_values"] = cfg_img_kv
                 cfg_img_context["kv_lens"] = [cfg_img_seq_len]
@@ -410,15 +425,6 @@ def forward(self, req: OmniDiffusionRequest) -> DiffusionOutput:
                 else:
                     cfg_img_context["ropes"] = [cfg_img_seq_len]
 
-            if not cfg_parallel_contract:
-                logger.warning("CFG is disabled: only single KV cache available")
-                gen_params = BagelGenParams(
-                    num_timesteps=gen_params.num_timesteps,
-                    timestep_shift=gen_params.timestep_shift,
-                    cfg_text_scale=1.0,
-                    cfg_img_scale=1.0,
-                )
-
         else:
             image_input = (
                 None
diff --git a/vllm_omni/model_executor/stage_input_processors/bagel.py b/vllm_omni/model_executor/stage_input_processors/bagel.py
index bfcff0ea0f3..52cc14d3aa2 100644
--- a/vllm_omni/model_executor/stage_input_processors/bagel.py
+++ b/vllm_omni/model_executor/stage_input_processors/bagel.py
@@ -82,6 +82,8 @@ def expand_cfg_prompts(
     neg_prompt = _get_negative_prompt(prompt, sampling_params)
 
     if "image" in modalities:
+        if not neg_prompt:
+            return []
         neg_prompt_dict = {
             "prompt": neg_prompt,
             "modalities": prompt.get("modalities", []),
@@ -166,6 +168,8 @@ def expand_cfg_prompts_think(
     companion_params = {"max_tokens": 1}
 
     if "image" in modalities:
+        if not neg_prompt:
+            return []
         neg_prompt_dict = {
             "prompt": neg_prompt,
             "modalities": prompt.get("modalities", []),
@@ -287,9 +291,10 @@ def _get_negative_prompt(
 ) -> str:
     """Resolve the negative prompt for CFG from prompt or sampling params.
 
-    An empty string is treated the same as absent (falls through to
-    the Bagel default token pair), because an empty negative prompt is
-    not meaningful for CFG guidance.
+    Returns the negative prompt string when one is supplied, otherwise an
+    empty string. Callers decide how to treat the empty case: text2img
+    skips the cfg_text companion entirely, while img2img substitutes it
+    into the cfg_text prompt template.
     """
     neg = prompt.get("negative_prompt")
     if neg:
@@ -300,4 +305,4 @@ def _get_negative_prompt(
         if neg:
             return neg
 
-    return "<|im_start|><|im_end|>"
+    return ""