[CI/Build] Share nightly CUDA YAML between H100/L4 and B200 (#7028)

Signed-off-by: wangyu <410167048@qq.com>
Signed-off-by: [Your Name] [Your Email]
Signed-off-by: [Your Name] <your.email@example.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: amy-why-3459 <wuhaiyan17@huawei.com>

tests/diffusion/quantization/test_gguf_diffusion.py

@@ -109,7 +109,7 @@ def _generate_single_stage_image(
     return images, peak_mem
 
 
-@hardware_test(res={"cuda": "L4"})
+@hardware_test(res={"cuda": ["L4", "B200"]})
 @pytest.mark.full_model
 @pytest.mark.diffusion
 @pytest.mark.parametrize("model", [Z_IMAGE_CONFIG, FLUX_CONFIG], ids=["Z-Image-Turbo", "FLUX.2-klein"])