diff --git a/horde_sdk/ai_horde_api/apimodels/alchemy/_status.py b/horde_sdk/ai_horde_api/apimodels/alchemy/_status.py
index 6ea30dc..f53fc6b 100644
--- a/horde_sdk/ai_horde_api/apimodels/alchemy/_status.py
+++ b/horde_sdk/ai_horde_api/apimodels/alchemy/_status.py
@@ -18,7 +18,7 @@
 class AlchemyUpscaleResult(BaseModel):
     """Represents the result of an upscale job."""
 
-    upscaler_used: KNOWN_UPSCALERS
+    upscaler_used: KNOWN_UPSCALERS | str
     url: str
 
 
diff --git a/horde_sdk/ai_horde_api/apimodels/base.py b/horde_sdk/ai_horde_api/apimodels/base.py
index 551ca8d..9536b31 100644
--- a/horde_sdk/ai_horde_api/apimodels/base.py
+++ b/horde_sdk/ai_horde_api/apimodels/base.py
@@ -114,7 +114,7 @@ class ImageGenerateParamMixin(BaseModel):
 
     model_config = ConfigDict(frozen=True)  # , extra="forbid")
 
-    sampler_name: KNOWN_SAMPLERS = KNOWN_SAMPLERS.k_lms
+    sampler_name: KNOWN_SAMPLERS | str = KNOWN_SAMPLERS.k_lms
     """The sampler to use for this generation. Defaults to `KNOWN_SAMPLERS.k_lms`."""
     cfg_scale: float = 7.5
     """The cfg_scale to use for this generation. Defaults to 7.5."""
@@ -169,7 +169,7 @@ def width_divisible_by_64(cls, value: int) -> int:
     def sampler_name_must_be_known(cls, v: str | KNOWN_SAMPLERS) -> str | KNOWN_SAMPLERS:
         """Ensure that the sampler name is in this list of supported samplers."""
         if v not in KNOWN_SAMPLERS.__members__:
-            raise ValueError(f"Unknown sampler name {v}")
+            logger.warning(f"Unknown sampler name {v}. Is your SDK out of date or did the API change?")
         return v
 
     # @model_validator(mode="after")
diff --git a/tests/ai_horde_api/test_ai_horde_api_models.py b/tests/ai_horde_api/test_ai_horde_api_models.py
index 6cd8aeb..b54e13f 100644
--- a/tests/ai_horde_api/test_ai_horde_api_models.py
+++ b/tests/ai_horde_api/test_ai_horde_api_models.py
@@ -105,6 +105,51 @@ def test_ImageGenerateAsyncRequest(ai_horde_api_key: str) -> None:
     assert test_async_request.dry_run is False
 
 
+def test_ImageGenerateAsyncRequest_unknown_sampler(ai_horde_api_key: str) -> None:
+    test_async_request = ImageGenerateAsyncRequest(
+        apikey=ai_horde_api_key,
+        models=["Deliberate"],
+        prompt="test prompt",
+        params=ImageGenerationInputPayload(
+            sampler_name="unknown sampler",
+            cfg_scale=7.5,
+            denoising_strength=1,
+            seed="123456789",
+            height=512,
+            width=512,
+            seed_variation=None,
+            post_processing=[],
+            karras=True,
+            tiling=False,
+            hires_fix=False,
+            clip_skip=1,
+            control_type=None,
+            image_is_control=None,
+            return_control_map=None,
+            facefixer_strength=None,
+            loras=[],
+            special={},
+            steps=25,
+            n=1,
+            use_nsfw_censor=False,
+        ),
+        nsfw=True,
+        trusted_workers=False,
+        slow_workers=False,
+        workers=[],
+        censor_nsfw=False,
+        source_image="test source image (usually base64)",
+        source_processing=KNOWN_SOURCE_PROCESSING.txt2img,
+        source_mask="test source mask (usually base64)",
+        r2=True,
+        shared=False,
+        replacement_filter=True,
+        dry_run=False,
+    )
+    assert test_async_request.params is not None
+    assert test_async_request.params.sampler_name == "unknown sampler"
+
+
 def test_TeamDetailsLite() -> None:
     test_team_details_lite = TeamDetailsLite(
         name="test team name",