diff --git a/src/diffusers/pipelines/cosmos/pipeline_cosmos2_5_predict.py b/src/diffusers/pipelines/cosmos/pipeline_cosmos2_5_predict.py index 372684e0b5..51f10c7f82 100644 --- a/src/diffusers/pipelines/cosmos/pipeline_cosmos2_5_predict.py +++ b/src/diffusers/pipelines/cosmos/pipeline_cosmos2_5_predict.py @@ -53,7 +53,7 @@ else: logger = logging.get_logger(__name__) # pylint: disable=invalid-name -# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img.retrieve_latents +# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_latents def retrieve_latents( encoder_output: torch.Tensor, generator: Optional[torch.Generator] = None, sample_mode: str = "sample" ): diff --git a/src/diffusers/pipelines/z_image/pipeline_z_image_controlnet.py b/src/diffusers/pipelines/z_image/pipeline_z_image_controlnet.py index 5e26862b01..d260ac265f 100644 --- a/src/diffusers/pipelines/z_image/pipeline_z_image_controlnet.py +++ b/src/diffusers/pipelines/z_image/pipeline_z_image_controlnet.py @@ -98,7 +98,7 @@ EXAMPLE_DOC_STRING = """ """ -# Copied from diffusers.pipelines.flux.pipeline_flux.calculate_shift +# Copied from diffusers.pipelines.flux.pipeline_flux_utils.calculate_shift def calculate_shift( image_seq_len, base_seq_len: int = 256, @@ -112,7 +112,7 @@ def calculate_shift( return mu -# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img.retrieve_latents +# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_latents def retrieve_latents( encoder_output: torch.Tensor, generator: Optional[torch.Generator] = None, sample_mode: str = "sample" ): @@ -126,7 +126,7 @@ def retrieve_latents( raise AttributeError("Could not access latents of provided encoder_output") -# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.retrieve_timesteps +# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_timesteps def retrieve_timesteps( scheduler, num_inference_steps: Optional[int] = None, diff --git a/src/diffusers/pipelines/z_image/pipeline_z_image_controlnet_inpaint.py b/src/diffusers/pipelines/z_image/pipeline_z_image_controlnet_inpaint.py index 73ea7d0fdd..459e25df89 100644 --- a/src/diffusers/pipelines/z_image/pipeline_z_image_controlnet_inpaint.py +++ b/src/diffusers/pipelines/z_image/pipeline_z_image_controlnet_inpaint.py @@ -98,7 +98,7 @@ EXAMPLE_DOC_STRING = """ """ -# Copied from diffusers.pipelines.flux.pipeline_flux.calculate_shift +# Copied from diffusers.pipelines.flux.pipeline_flux_utils.calculate_shift def calculate_shift( image_seq_len, base_seq_len: int = 256, @@ -112,7 +112,7 @@ def calculate_shift( return mu -# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img.retrieve_latents +# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_latents def retrieve_latents( encoder_output: torch.Tensor, generator: Optional[torch.Generator] = None, sample_mode: str = "sample" ): @@ -126,7 +126,7 @@ def retrieve_latents( raise AttributeError("Could not access latents of provided encoder_output") -# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.retrieve_timesteps +# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_timesteps def retrieve_timesteps( scheduler, num_inference_steps: Optional[int] = None, diff --git a/src/diffusers/pipelines/z_image/pipeline_z_image_omni.py b/src/diffusers/pipelines/z_image/pipeline_z_image_omni.py index 26848bea0a..39dcad6338 100644 --- a/src/diffusers/pipelines/z_image/pipeline_z_image_omni.py +++ b/src/diffusers/pipelines/z_image/pipeline_z_image_omni.py @@ -61,7 +61,7 @@ EXAMPLE_DOC_STRING = """ """ -# Copied from diffusers.pipelines.flux.pipeline_flux.calculate_shift +# Copied from diffusers.pipelines.flux.pipeline_flux_utils.calculate_shift def calculate_shift( image_seq_len, base_seq_len: int = 256, @@ -75,7 +75,7 @@ def calculate_shift( return mu -# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.retrieve_timesteps +# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_timesteps def retrieve_timesteps( scheduler, num_inference_steps: Optional[int] = None,