# Copyright 2026 Black Forest Labs and 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 ...utils import logging from ..modular_pipeline import ModularPipeline logger = logging.get_logger(__name__) # pylint: disable=invalid-name class Flux3ModularPipeline(ModularPipeline): """ A ModularPipeline for FLUX.3. """ default_blocks_name = "Flux3AutoBlocks" @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 = 128 if getattr(self, "transformer", None): num_channels_latents = self.transformer.config.in_channels return num_channels_latents @property def requires_unconditional_embeds(self): if getattr(self, "guider", None) is None: return False return self.guider._enabled and self.guider.num_conditions > 1 class Flux3DistilledModularPipeline(Flux3ModularPipeline): """ A ModularPipeline for the step-distilled FLUX.3 model (16 steps, no classifier-free guidance). """ default_blocks_name = "Flux3DistilledAutoBlocks"