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@@ -129,6 +129,7 @@ def prepare_pos_ids(modality_id=0, type="text", start=(0, 0), num_token=None, he
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return pos_ids
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# Copied from diffusers.pipelines.flux.pipeline_flux_utils.calculate_shift
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def calculate_shift(
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image_seq_len,
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base_seq_len: int = 256,
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@@ -142,7 +143,7 @@ def calculate_shift(
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return mu
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# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.retrieve_timesteps
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# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_timesteps
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def retrieve_timesteps(
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scheduler,
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num_inference_steps: Optional[int] = None,
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@@ -141,7 +141,7 @@ def calculate_shift(
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return mu
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# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.retrieve_timesteps
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# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_timesteps
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def retrieve_timesteps(
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scheduler,
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num_inference_steps: Optional[int] = None,
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@@ -201,7 +201,7 @@ def retrieve_timesteps(
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return timesteps, num_inference_steps
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# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img.retrieve_latents
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# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_latents
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def retrieve_latents(
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encoder_output: torch.Tensor, generator: Optional[torch.Generator] = None, sample_mode: str = "sample"
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):
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