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mirror of https://github.com/huggingface/diffusers.git synced 2026-01-27 17:22:53 +03:00

make fix-copies.

This commit is contained in:
sayakpaul
2025-12-31 10:51:08 +05:30
parent a92ed8762b
commit 3d875cbe79
4 changed files with 9 additions and 9 deletions

View File

@@ -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"
):

View File

@@ -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,

View File

@@ -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,

View File

@@ -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,