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Update pipeline_controlnet.py add support for pytorch_xla #10222

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Merged
merged 2 commits into from Dec 16, 2024
Merged

Update pipeline_controlnet.py add support for pytorch_xla #10222

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9821496
Update pipeline_controlnet.py
Dec 14, 2024
2604f6e
make style
hlky Dec 14, 2024
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10 changes: 10 additions & 0 deletions src/diffusers/pipelines/controlnet/pipeline_controlnet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -31,6 +31,7 @@
from ...utils import (
USE_PEFT_BACKEND,
deprecate,
is_torch_xla_available,
logging,
replace_example_docstring,
scale_lora_layers,
Expand All @@ -42,6 +43,13 @@
from ..stable_diffusion.safety_checker import StableDiffusionSafetyChecker


if is_torch_xla_available():
import torch_xla.core.xla_model as xm

XLA_AVAILABLE = True
else:
XLA_AVAILABLE = False

logger = logging.get_logger(__name__) # pylint: disable=invalid-name


Expand Down Expand Up @@ -1323,6 +1331,8 @@ def __call__(
step_idx = i // getattr(self.scheduler, "order", 1)
callback(step_idx, t, latents)

if XLA_AVAILABLE:
xm.mark_step()
# If we do sequential model offloading, let's offload unet and controlnet
# manually for max memory savings
if hasattr(self, "final_offload_hook") and self.final_offload_hook is not None:
Expand Down
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