build-tools / diffusers /modular_pipelines /wan /modular_pipeline.py
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# Copyright 2025 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from ...loaders import WanLoraLoaderMixin
from ...pipelines.pipeline_utils import StableDiffusionMixin
from ...utils import logging
from ..modular_pipeline import ModularPipeline
logger = logging.get_logger(__name__) # pylint: disable=invalid-name
class WanModularPipeline(
ModularPipeline,
StableDiffusionMixin,
WanLoraLoaderMixin,
):
"""
A ModularPipeline for Wan2.1 text2video.
> [!WARNING] > This is an experimental feature and is likely to change in the future.
"""
default_blocks_name = "WanBlocks"
@property
def default_height(self):
return self.default_sample_height * self.vae_scale_factor_spatial
@property
def default_width(self):
return self.default_sample_width * self.vae_scale_factor_spatial
@property
def default_num_frames(self):
return (self.default_sample_num_frames - 1) * self.vae_scale_factor_temporal + 1
@property
def default_sample_height(self):
return 60
@property
def default_sample_width(self):
return 104
@property
def default_sample_num_frames(self):
return 21
@property
def patch_size_spatial(self):
patch_size_spatial = 2
if hasattr(self, "transformer") and self.transformer is not None:
patch_size_spatial = self.transformer.config.patch_size[1]
return patch_size_spatial
@property
def vae_scale_factor_spatial(self):
vae_scale_factor = 8
if hasattr(self, "vae") and self.vae is not None:
vae_scale_factor = 2 ** len(self.vae.temperal_downsample)
return vae_scale_factor
@property
def vae_scale_factor_temporal(self):
vae_scale_factor = 4
if hasattr(self, "vae") and self.vae is not None:
vae_scale_factor = 2 ** sum(self.vae.temperal_downsample)
return vae_scale_factor
@property
def num_channels_transformer(self):
num_channels_transformer = 16
if hasattr(self, "transformer") and self.transformer is not None:
num_channels_transformer = self.transformer.config.in_channels
return num_channels_transformer
@property
def num_channels_latents(self):
num_channels_latents = 16
if hasattr(self, "vae") and self.vae is not None:
num_channels_latents = self.vae.config.z_dim
return num_channels_latents
@property
def requires_unconditional_embeds(self):
requires_unconditional_embeds = False
if hasattr(self, "guider") and self.guider is not None:
requires_unconditional_embeds = self.guider._enabled and self.guider.num_conditions > 1
return requires_unconditional_embeds
@property
def num_train_timesteps(self):
num_train_timesteps = 1000
if hasattr(self, "scheduler") and self.scheduler is not None:
num_train_timesteps = self.scheduler.config.num_train_timesteps
return num_train_timesteps
class WanImage2VideoModularPipeline(WanModularPipeline):
"""
A ModularPipeline for Wan2.1 image2video (both I2V and FLF2V).
> [!WARNING] > This is an experimental feature and is likely to change in the future.
"""
default_blocks_name = "WanImage2VideoAutoBlocks"
class Wan22ModularPipeline(WanModularPipeline):
"""
A ModularPipeline for Wan2.2 text2video.
> [!WARNING] > This is an experimental feature and is likely to change in the future.
"""
default_blocks_name = "Wan22Blocks"
class Wan22Image2VideoModularPipeline(Wan22ModularPipeline):
"""
A ModularPipeline for Wan2.2 image2video.
> [!WARNING] > This is an experimental feature and is likely to change in the future.
"""
default_blocks_name = "Wan22Image2VideoBlocks"