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Running on Zero
| # 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" | |
| 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 | |
| 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 | |
| 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" | |