[Test] L4 complete diffusion feature test for Z-Image (#2132)

Signed-off-by: yinpe <11810305@mail.sustech.edu.cn>

tests/e2e/online_serving/test_zimage_expansion.py

@@ -0,0 +1,90 @@
+"""
+Tests of common diffusion feature combinations in online serving mode
+for Z-Image.
+
+Coverage is intentionally limited to the minimal 4xL4 cases that
+exercise Z-Image's supported parallel feature combinations:
+- CacheDiT + FP8 + Ring=2 + TP=2
+- TeaCache + FP8 + Ulysses=2 + Ring=2
+"""
+
+import pytest
+
+from tests.conftest import (
+    OmniServer,
+    OmniServerParams,
+    OpenAIClientHandler,
+)
+from tests.utils import hardware_marks
+
+MODEL = "Tongyi-MAI/Z-Image-Turbo"
+PROMPT = "A high-detail studio photo of an orange tabby cat sitting on a laptop keyboard."
+
+FOUR_CARD_MARKS = hardware_marks(res={"cuda": "L4"}, num_cards=4)
+
+
+def _get_diffusion_feature_cases():
+    """Return the common Z-Image feature combinations that fit L4 CI."""
+    return [
+        pytest.param(
+            OmniServerParams(
+                model=MODEL,
+                server_args=[
+                    "--cache-backend",
+                    "cache_dit",
+                    "--quantization",
+                    "fp8",
+                    "--ring",
+                    "2",
+                    "--tensor-parallel-size",
+                    "2",
+                ],
+            ),
+            id="parallel_cachedit_fp8_ring2_tp2",
+            marks=FOUR_CARD_MARKS,
+        ),
+        pytest.param(
+            OmniServerParams(
+                model=MODEL,
+                server_args=[
+                    "--cache-backend",
+                    "tea_cache",
+                    "--quantization",
+                    "fp8",
+                    "--ulysses-degree",
+                    "2",
+                    "--ring",
+                    "2",
+                ],
+            ),
+            id="parallel_teacache_fp8_ulysses2_ring2",
+            marks=FOUR_CARD_MARKS,
+        ),
+    ]
+
+
+@pytest.mark.advanced_model
+@pytest.mark.diffusion
+@pytest.mark.parametrize(
+    "omni_server",
+    _get_diffusion_feature_cases(),
+    indirect=True,
+)
+def test_zimage(
+    omni_server: OmniServer,
+    openai_client: OpenAIClientHandler,
+):
+    """Exercise supported Z-Image diffusion features in minimal CI cases."""
+    request_config = {
+        "model": omni_server.model,
+        "messages": [{"role": "user", "content": PROMPT}],
+        "extra_body": {
+            "height": 512,
+            "width": 512,
+            "num_inference_steps": 2,
+            "guidance_scale": 0.0,
+            "seed": 42,
+        },
+    }
+
+    openai_client.send_diffusion_request(request_config)