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What does this PR do?

Supports custom sigmas and timesteps for SDXL ControlNet Inpainting and SDXL ControlNet Img2Img pipelines

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@yiyixuxu

)
timesteps, num_inference_steps = self.get_timesteps(num_inference_steps, strength, device)
latent_timestep = timesteps[:1].repeat(batch_size * num_images_per_prompt)
self._num_timesteps = len(timesteps)
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why are we removing this?

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oops that's an accident, should be kept

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This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the contributing guidelines are likely to be ignored.

@github-actions github-actions bot added the stale Issues that haven't received updates label Sep 14, 2024
@yiyixuxu
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Gentle pin!

@yiyixuxu yiyixuxu removed the stale Issues that haven't received updates label Nov 20, 2024
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This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the contributing guidelines are likely to be ignored.

@github-actions github-actions bot added the stale Issues that haven't received updates label Dec 14, 2024
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2 participants