Spaces:
Paused
Paused
File size: 2,303 Bytes
cd458ae | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 | # Copyright 2026 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 FromSingleFileMixin, SD3IPAdapterMixin, SD3LoraLoaderMixin
from ...utils import logging
from ..modular_pipeline import ModularPipeline
logger = logging.get_logger(__name__)
class StableDiffusion3ModularPipeline(ModularPipeline, SD3LoraLoaderMixin, FromSingleFileMixin, SD3IPAdapterMixin):
"""
A ModularPipeline for Stable Diffusion 3.
>[!WARNING] > This is an experimental feature and is likely to change in the future.
"""
default_blocks_name = "StableDiffusion3AutoBlocks"
@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):
if getattr(self, "transformer", None) is not None:
return self.transformer.config.sample_size
return 128
@property
def patch_size(self):
if getattr(self, "transformer", None) is not None:
return self.transformer.config.patch_size
return 2
@property
def tokenizer_max_length(self):
if getattr(self, "tokenizer", None) is not None:
return self.tokenizer.model_max_length
return 77
@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):
if getattr(self, "transformer", None) is not None:
return self.transformer.config.in_channels
return 16
|