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examples/community/rerender_a_video.py

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@@ -30,9 +30,10 @@
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from diffusers.pipelines.controlnet.pipeline_controlnet_img2img import StableDiffusionControlNetImg2ImgPipeline
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from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker
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from diffusers.schedulers import KarrasDiffusionSchedulers
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from diffusers.utils import is_torch_xla_available, BaseOutput, deprecate, logging
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from diffusers.utils import BaseOutput, deprecate, is_torch_xla_available, logging
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from diffusers.utils.torch_utils import is_compiled_module, randn_tensor
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if is_torch_xla_available():
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import torch_xla.core.xla_model as xm
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@@ -1105,7 +1106,7 @@ def denoising_loop(latents, mask=None, xtrg=None, noise_rescale=None):
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progress_bar.update()
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if callback is not None and i % callback_steps == 0:
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callback(i, t, latents)
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if XLA_AVAILABLE:
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xm.mark_step()
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