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Raise an error when trying to use SD Cascade Decoder with dtype bfloat16 and torch < 2.2 #7244

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Mar 7, 2024
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Raise an error when trying to use SD Cascade Decoder with dtype bfloat16 and torch < 2.2 #7244

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4 changes: 3 additions & 1 deletion src/diffusers/pipelines/stable_cascade/pipeline_stable_cascade.py
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Original file line number Diff line number Diff line change
Expand Up @@ -19,7 +19,7 @@

from ...models import StableCascadeUNet
from ...schedulers import DDPMWuerstchenScheduler
from ...utils import logging, replace_example_docstring
from ...utils import is_torch_version, logging, replace_example_docstring
from ...utils.torch_utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
from ..wuerstchen.modeling_paella_vq_model import PaellaVQModel
Expand Down Expand Up @@ -361,6 +361,8 @@ def __call__(
device = self._execution_device
dtype = self.decoder.dtype
self._guidance_scale = guidance_scale
if is_torch_version("<", "2.2.0") and dtype == torch.bfloat16:
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Is it only the decoder dtype or the general torch_dtype that we use?

raise ValueError("`StableCascadeDecoderPipeline` requires torch>=2.2.0 when using `torch.bfloat16` dtype.")

# 1. Check inputs. Raise error if not correct
self.check_inputs(
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