diff --git a/src/refiners/foundationals/latent_diffusion/__init__.py b/src/refiners/foundationals/latent_diffusion/__init__.py
index ce47a46..35e1b9a 100644
--- a/src/refiners/foundationals/latent_diffusion/__init__.py
+++ b/src/refiners/foundationals/latent_diffusion/__init__.py
@@ -19,6 +19,7 @@ from refiners.foundationals.latent_diffusion.stable_diffusion_xl import (
     SDXLIPAdapter,
     SDXLT2IAdapter,
     SDXLUNet,
+    StableDiffusion_XL,
 )
 
 __all__ = [
@@ -37,4 +38,5 @@ __all__ = [
     "CLIPTextEncoderL",
     "LatentDiffusionAutoencoder",
     "SDFreeUAdapter",
+    "StableDiffusion_XL",
 ]
diff --git a/tests/foundationals/latent_diffusion/test_self_attention_guidance.py b/tests/foundationals/latent_diffusion/test_self_attention_guidance.py
new file mode 100644
index 0000000..ec920fb
--- /dev/null
+++ b/tests/foundationals/latent_diffusion/test_self_attention_guidance.py
@@ -0,0 +1,26 @@
+import pytest
+import torch
+
+from refiners.fluxion.utils import no_grad
+from refiners.foundationals.latent_diffusion import StableDiffusion_1, StableDiffusion_XL
+
+
+@no_grad()
+@pytest.mark.parametrize("k_sd", [StableDiffusion_1, StableDiffusion_XL])
+def test_set_self_attention_guidance(
+    k_sd: type[StableDiffusion_1] | type[StableDiffusion_XL], test_device: torch.device
+):
+    sd = k_sd(device=test_device, dtype=torch.float16)
+
+    assert sd._find_sag_adapter() is None  # type: ignore
+    sd.set_self_attention_guidance(enable=True, scale=0.42)
+    adapter = sd._find_sag_adapter()  # type: ignore
+    assert adapter is not None
+    assert adapter.scale == 0.42
+
+    sd.set_self_attention_guidance(enable=True, scale=0.75)
+    assert sd._find_sag_adapter() == adapter  # type: ignore
+    assert adapter.scale == 0.75
+
+    sd.set_self_attention_guidance(enable=False)
+    assert sd._find_sag_adapter() is None  # type: ignore