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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 diffusers.loaders import WanLoraLoaderMixin
from diffusers.utils import logging
from diffusers.modular_pipelines import ModularPipeline
logger = logging.get_logger(__name__) # pylint: disable=invalid-name
class MatrixGameWanModularPipeline(ModularPipeline, WanLoraLoaderMixin):
"""
A ModularPipeline for MatrixGameWan.
<Tip warning={true}>
This is an experimental feature and is likely to change in the future.
</Tip>
"""
@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 44
@property
def default_sample_width(self):
return 80
@property
def default_sample_num_frames(self):
return 21
@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
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