pythonProject/diffusers-main/build/lib/diffusers/modular_pipelines/flux/modular_pipeline.py

# 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
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from ...loaders import FluxLoraLoaderMixin, TextualInversionLoaderMixin
from ...utils import logging
from ..modular_pipeline import ModularPipeline


logger = logging.get_logger(__name__)  # pylint: disable=invalid-name


class FluxModularPipeline(ModularPipeline, FluxLoraLoaderMixin, TextualInversionLoaderMixin):
    """
    A ModularPipeline for Flux.

    <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_size * self.vae_scale_factor

    @property
    def default_width(self):
        return self.default_sample_size * self.vae_scale_factor

    @property
    def default_sample_size(self):
        return 128

    @property
    def vae_scale_factor(self):
        vae_scale_factor = 8
        if getattr(self, "vae", None) is not None:
            vae_scale_factor = 2 ** (len(self.vae.config.block_out_channels) - 1)
        return vae_scale_factor

    @property
    def num_channels_latents(self):
        num_channels_latents = 16
        if getattr(self, "transformer", None):
            num_channels_latents = self.transformer.config.in_channels // 4
        return num_channels_latents