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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 | # Copyright 2026 Krea AI 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 ...loaders import Krea2LoraLoaderMixin
from ..modular_pipeline import ModularPipeline
class Krea2ModularPipeline(ModularPipeline, Krea2LoraLoaderMixin):
"""
A ModularPipeline for Krea 2.
> [!WARNING] > This is an experimental feature!
"""
default_blocks_name = "Krea2AutoBlocks"
@property
def patch_size(self):
return 2
@property
def default_height(self):
return 1024
@property
def default_width(self):
return 1024
@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.temperal_downsample)
return vae_scale_factor
@property
def requires_unconditional_embeds(self):
requires_unconditional_embeds = False
if hasattr(self, "guider") and self.guider is not None:
requires_unconditional_embeds = self.guider._enabled and self.guider.num_conditions > 1
return requires_unconditional_embeds
class Krea2TurboModularPipeline(Krea2ModularPipeline):
"""
A ModularPipeline for the distilled Krea 2 turbo (TDM) checkpoint. It runs without classifier-free guidance, so it
takes no negative prompt and has no guider.
> [!WARNING] > This is an experimental feature!
"""
default_blocks_name = "Krea2TurboAutoBlocks"
@property
def requires_unconditional_embeds(self):
return False
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