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This commit is contained in:
sayakpaul
2026-01-15 17:51:45 +05:30
parent a0d7096175
commit b03d3b1060
6 changed files with 11 additions and 11 deletions
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2
examples/community/pipeline_flux_differential_img2img.py
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@@ -526,7 +526,7 @@ class FluxDifferentialImg2ImgPipeline(DiffusionPipeline, FluxLoraLoaderMixin):
return latents
@staticmethod
# Copied from diffusers.pipelines.flux.pipeline_flux.FluxPipeline._unpack_latents
# Copied from diffusers.pipelines.flux.pipeline_flux_utils.FluxMixin._unpack_latents
def _unpack_latents(latents, height, width, vae_scale_factor):
batch_size, num_patches, channels = latents.shape

2
examples/community/pipeline_flux_kontext_multiple_images.py
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@@ -591,7 +591,7 @@ class FluxKontextPipeline(
return latents
@staticmethod
# Copied from diffusers.pipelines.flux.pipeline_flux.FluxPipeline._unpack_latents
# Copied from diffusers.pipelines.flux.pipeline_flux_utils.FluxMixin._unpack_latents
def _unpack_latents(latents, height, width, vae_scale_factor):
batch_size, num_patches, channels = latents.shape

2
examples/community/pipeline_flux_semantic_guidance.py
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@@ -664,7 +664,7 @@ class FluxSemanticGuidancePipeline(
return latents
@staticmethod
# Copied from diffusers.pipelines.flux.pipeline_flux.FluxPipeline._unpack_latents
# Copied from diffusers.pipelines.flux.pipeline_flux_utils.FluxMixin._unpack_latents
def _unpack_latents(latents, height, width, vae_scale_factor):
batch_size, num_patches, channels = latents.shape

2
examples/community/pipline_flux_fill_controlnet_Inpaint.py
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@@ -558,7 +558,7 @@ class FluxControlNetFillInpaintPipeline(DiffusionPipeline, FluxLoraLoaderMixin,
return latents
@staticmethod
# Copied from diffusers.pipelines.flux.pipeline_flux.FluxPipeline._unpack_latents
# Copied from diffusers.pipelines.flux.pipeline_flux_utils.FluxMixin._unpack_latents
def _unpack_latents(latents, height, width, vae_scale_factor):
batch_size, num_patches, channels = latents.shape

2
src/diffusers/pipelines/bria_fibo/pipeline_bria_fibo.py
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@@ -353,7 +353,7 @@ class BriaFiboPipeline(DiffusionPipeline, FluxLoraLoaderMixin):
return self._interrupt
@staticmethod
# Based on diffusers.pipelines.flux.pipeline_flux.FluxPipeline._unpack_latents
# Based on diffusers.pipelines.flux.pipeline_flux_utils.FluxMixin._unpack_latents
def _unpack_latents(latents, height, width, vae_scale_factor):
batch_size, num_patches, channels = latents.shape

12
src/diffusers/pipelines/chroma/pipeline_chroma_inpainting.py
View File

@@ -78,7 +78,7 @@ 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,
@@ -92,7 +92,7 @@ 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"
):
@@ -106,7 +106,7 @@ 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,
@@ -565,7 +565,7 @@ class ChromaInpaintPipeline(
raise ValueError(f"`max_sequence_length` cannot be greater than 512 but is {max_sequence_length}")
@staticmethod
# Copied from diffusers.pipelines.flux.pipeline_flux.FluxPipeline._prepare_latent_image_ids
# Copied from diffusers.pipelines.flux.pipeline_flux_utils.FluxMixin._prepare_latent_image_ids
def _prepare_latent_image_ids(batch_size, height, width, device, dtype):
latent_image_ids = torch.zeros(height, width, 3)
latent_image_ids[..., 1] = latent_image_ids[..., 1] + torch.arange(height)[:, None]
@@ -580,7 +580,7 @@ class ChromaInpaintPipeline(
return latent_image_ids.to(device=device, dtype=dtype)
@staticmethod
# Copied from diffusers.pipelines.flux.pipeline_flux.FluxPipeline._pack_latents
# Copied from diffusers.pipelines.flux.pipeline_flux_utils.FluxMixin._pack_latents
def _pack_latents(latents, batch_size, num_channels_latents, height, width):
latents = latents.view(batch_size, num_channels_latents, height // 2, 2, width // 2, 2)
latents = latents.permute(0, 2, 4, 1, 3, 5)
@@ -589,7 +589,7 @@ class ChromaInpaintPipeline(
return latents
@staticmethod
# Copied from diffusers.pipelines.flux.pipeline_flux.FluxPipeline._unpack_latents
# Copied from diffusers.pipelines.flux.pipeline_flux_utils.FluxMixin._unpack_latents
def _unpack_latents(latents, height, width, vae_scale_factor):
batch_size, num_patches, channels = latents.shape