AI/diffusers
1
0
Fork 0
mirror of https://github.com/huggingface/diffusers.git synced 2026-01-29 07:22:12 +03:00
Code Activity

rename vae_spatial_compression_ratio for vae_scale_factor

Browse Source
This commit is contained in:
David Bertoin
2025-10-13 11:49:25 +00:00
committed by DavidBert
parent 2077252947
commit ffe3501c1c
1 changed files with 4 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
src/diffusers/pipelines/photon/pipeline_photon.py
View File

@@ -276,10 +276,10 @@ class PhotonPipeline(
self.register_to_config(default_sample_size=default_sample_size)
self.image_processor = PixArtImageProcessor(vae_scale_factor=self.vae_spatial_compression_ratio)
self.image_processor = PixArtImageProcessor(vae_scale_factor=self.vae_scale_factor)
@property
def vae_spatial_compression_ratio(self):
def vae_scale_factor(self):
if hasattr(self.vae, "spatial_compression_ratio"):
return self.vae.spatial_compression_ratio
else: # Flux VAE
@@ -303,7 +303,7 @@ class PhotonPipeline(
):
"""Prepare initial latents for the diffusion process."""
if latents is None:
spatial_compression = self.vae_spatial_compression_ratio
spatial_compression = self.vae_scale_factor
latent_height, latent_width = (
height // spatial_compression,
width // spatial_compression,
@@ -387,7 +387,7 @@ class PhotonPipeline(
callback_on_step_end_tensor_inputs: Optional[List[str]] = None,
):
"""Check that all inputs are in correct format."""
spatial_compression = self.vae_spatial_compression_ratio
spatial_compression = self.vae_scale_factor
if height % spatial_compression != 0 or width % spatial_compression != 0:
raise ValueError(
f"`height` and `width` have to be divisible by {spatial_compression} but are {height} and {width}."