Release: v0.26.2-patch

fix sd reference community ppeline

Co-authored-by: yiyixuxu <yixu310@gmail,com>

examples/advanced_diffusion_training/train_dreambooth_lora_sd15_advanced.py

@@ -70,7 +70,7 @@ from diffusers.utils.import_utils import is_xformers_available
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.25.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__)
 

examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py

@@ -72,7 +72,7 @@ from diffusers.utils.torch_utils import is_compiled_module
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__)
 

examples/community/marigold_depth_estimation.py

@@ -40,8 +40,7 @@ from diffusers.utils import BaseOutput, check_min_version
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
-
+check_min_version("0.26.0")
 
 class MarigoldDepthOutput(BaseOutput):
     """

examples/community/stable_diffusion_reference.py

@@ -538,7 +538,7 @@ class StableDiffusionReferencePipeline(StableDiffusionPipeline):
 
             return hidden_states, output_states
 
-        def hacked_DownBlock2D_forward(self, hidden_states, temb=None):
+        def hacked_DownBlock2D_forward(self, hidden_states, temb=None, **kwargs):
             eps = 1e-6
 
             output_states = ()
@@ -634,7 +634,9 @@ class StableDiffusionReferencePipeline(StableDiffusionPipeline):
 
             return hidden_states
 
-        def hacked_UpBlock2D_forward(self, hidden_states, res_hidden_states_tuple, temb=None, upsample_size=None):
+        def hacked_UpBlock2D_forward(
+            self, hidden_states, res_hidden_states_tuple, temb=None, upsample_size=None, **kwargs
+        ):
             eps = 1e-6
             for i, resnet in enumerate(self.resnets):
                 # pop res hidden states

examples/community/stable_diffusion_xl_reference.py

@@ -507,7 +507,7 @@ class StableDiffusionXLReferencePipeline(StableDiffusionXLPipeline):
 
             return hidden_states, output_states
 
-        def hacked_DownBlock2D_forward(self, hidden_states, temb=None):
+        def hacked_DownBlock2D_forward(self, hidden_states, temb=None, **kwargs):
             eps = 1e-6
 
             output_states = ()
@@ -603,7 +603,9 @@ class StableDiffusionXLReferencePipeline(StableDiffusionXLPipeline):
 
             return hidden_states
 
-        def hacked_UpBlock2D_forward(self, hidden_states, res_hidden_states_tuple, temb=None, upsample_size=None):
+        def hacked_UpBlock2D_forward(
+            self, hidden_states, res_hidden_states_tuple, temb=None, upsample_size=None, **kwargs
+        ):
             eps = 1e-6
             for i, resnet in enumerate(self.resnets):
                 # pop res hidden states

examples/consistency_distillation/train_lcm_distill_lora_sd_wds.py

@@ -72,7 +72,7 @@ if is_wandb_available():
     import wandb
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__)
 

examples/consistency_distillation/train_lcm_distill_lora_sdxl.py

@@ -60,7 +60,7 @@ if is_wandb_available():
     import wandb
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__)
 

examples/consistency_distillation/train_lcm_distill_lora_sdxl_wds.py

@@ -78,7 +78,7 @@ if is_wandb_available():
     import wandb
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__)
 

examples/consistency_distillation/train_lcm_distill_sd_wds.py

@@ -71,7 +71,7 @@ if is_wandb_available():
     import wandb
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__)
 

examples/consistency_distillation/train_lcm_distill_sdxl_wds.py

@@ -77,7 +77,7 @@ if is_wandb_available():
     import wandb
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__)
 

examples/controlnet/train_controlnet.py

@@ -57,7 +57,7 @@ if is_wandb_available():
     import wandb
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__)
 

examples/controlnet/train_controlnet_flax.py

@@ -59,7 +59,7 @@ if is_wandb_available():
     import wandb
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = logging.getLogger(__name__)
 

examples/controlnet/train_controlnet_sdxl.py

@@ -59,7 +59,7 @@ if is_wandb_available():
     import wandb
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__)
 

examples/custom_diffusion/train_custom_diffusion.py

@@ -62,7 +62,7 @@ from diffusers.utils.import_utils import is_xformers_available
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__)
 

examples/dreambooth/train_dreambooth.py

@@ -62,7 +62,7 @@ if is_wandb_available():
     import wandb
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__)
 

examples/dreambooth/train_dreambooth_flax.py

@@ -35,7 +35,7 @@ from diffusers.utils import check_min_version
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 # Cache compiled models across invocations of this script.
 cc.initialize_cache(os.path.expanduser("~/.cache/jax/compilation_cache"))

examples/dreambooth/train_dreambooth_lora.py

@@ -66,7 +66,7 @@ from diffusers.utils.torch_utils import is_compiled_module
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__)
 

examples/dreambooth/train_dreambooth_lora_sdxl.py

@@ -65,7 +65,7 @@ from diffusers.utils.torch_utils import is_compiled_module
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__)
 

examples/instruct_pix2pix/train_instruct_pix2pix.py

@@ -53,7 +53,7 @@ from diffusers.utils.torch_utils import is_compiled_module
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__, log_level="INFO")
 

examples/instruct_pix2pix/train_instruct_pix2pix_sdxl.py

@@ -59,7 +59,7 @@ if is_wandb_available():
     import wandb
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__, log_level="INFO")
 

examples/kandinsky2_2/text_to_image/train_text_to_image_decoder.py

@@ -52,7 +52,7 @@ if is_wandb_available():
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__, log_level="INFO")
 

examples/kandinsky2_2/text_to_image/train_text_to_image_lora_decoder.py

@@ -46,7 +46,7 @@ from diffusers.utils import check_min_version, is_wandb_available
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__, log_level="INFO")
 

examples/kandinsky2_2/text_to_image/train_text_to_image_lora_prior.py

@@ -46,7 +46,7 @@ from diffusers.utils import check_min_version, is_wandb_available
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__, log_level="INFO")
 

examples/kandinsky2_2/text_to_image/train_text_to_image_prior.py

@@ -51,7 +51,7 @@ if is_wandb_available():
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__, log_level="INFO")
 

examples/t2i_adapter/train_t2i_adapter_sdxl.py

@@ -59,7 +59,7 @@ if is_wandb_available():
     import wandb
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__)
 

examples/text_to_image/train_text_to_image.py

@@ -54,7 +54,7 @@ if is_wandb_available():
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__, log_level="INFO")
 

examples/text_to_image/train_text_to_image_flax.py

@@ -33,7 +33,7 @@ from diffusers.utils import check_min_version
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = logging.getLogger(__name__)
 

examples/text_to_image/train_text_to_image_lora.py

@@ -50,7 +50,7 @@ from diffusers.utils.torch_utils import is_compiled_module
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__, log_level="INFO")
 

examples/text_to_image/train_text_to_image_lora_sdxl.py

@@ -63,7 +63,7 @@ from diffusers.utils.torch_utils import is_compiled_module
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__)
 

examples/text_to_image/train_text_to_image_sdxl.py

@@ -53,7 +53,7 @@ from diffusers.utils.torch_utils import is_compiled_module
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__)
 

examples/textual_inversion/textual_inversion.py

@@ -79,7 +79,7 @@ else:
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__)
 

examples/textual_inversion/textual_inversion_flax.py

@@ -56,7 +56,7 @@ else:
 # ------------------------------------------------------------------------------
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = logging.getLogger(__name__)
 

examples/textual_inversion/textual_inversion_sdxl.py

@@ -77,7 +77,7 @@ else:
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.25.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__)
 

examples/unconditional_image_generation/train_unconditional.py

@@ -29,7 +29,7 @@ from diffusers.utils.import_utils import is_xformers_available
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__, log_level="INFO")
 

examples/wuerstchen/text_to_image/train_text_to_image_lora_prior.py

@@ -50,7 +50,7 @@ if is_wandb_available():
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__, log_level="INFO")
 

examples/wuerstchen/text_to_image/train_text_to_image_prior.py

@@ -51,7 +51,7 @@ if is_wandb_available():
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.26.0.dev0")
+check_min_version("0.26.0")
 
 logger = get_logger(__name__, log_level="INFO")
 

setup.py

@@ -249,7 +249,7 @@ version_range_max = max(sys.version_info[1], 10) + 1
 
 setup(
     name="diffusers",
-    version="0.26.0.dev0",  # expected format is one of x.y.z.dev0, or x.y.z.rc1 or x.y.z (no to dashes, yes to dots)
+    version="0.26.2",  # expected format is one of x.y.z.dev0, or x.y.z.rc1 or x.y.z (no to dashes, yes to dots)
     description="State-of-the-art diffusion in PyTorch and JAX.",
     long_description=open("README.md", "r", encoding="utf-8").read(),
     long_description_content_type="text/markdown",

src/diffusers/__init__.py

@@ -1,4 +1,4 @@
-__version__ = "0.26.0.dev0"
+__version__ = "0.26.2"
 
 from typing import TYPE_CHECKING
 

src/diffusers/models/attention.py

@@ -158,6 +158,12 @@ class BasicTransformerBlock(nn.Module):
         super().__init__()
         self.only_cross_attention = only_cross_attention
 
+        self.use_ada_layer_norm_zero = (num_embeds_ada_norm is not None) and norm_type == "ada_norm_zero"
+        self.use_ada_layer_norm = (num_embeds_ada_norm is not None) and norm_type == "ada_norm"
+        self.use_ada_layer_norm_single = norm_type == "ada_norm_single"
+        self.use_layer_norm = norm_type == "layer_norm"
+        self.use_ada_layer_norm_continuous = norm_type == "ada_norm_continuous"
+
         if norm_type in ("ada_norm", "ada_norm_zero") and num_embeds_ada_norm is None:
             raise ValueError(
                 f"`norm_type` is set to {norm_type}, but `num_embeds_ada_norm` is not defined. Please make sure to"

src/diffusers/training_utils.py

@@ -5,7 +5,6 @@ from typing import Any, Dict, Iterable, List, Optional, Union
 
 import numpy as np
 import torch
-from torchvision import transforms
 
 from .models import UNet2DConditionModel
 from .utils import (
@@ -13,6 +12,7 @@ from .utils import (
     convert_state_dict_to_peft,
     deprecate,
     is_peft_available,
+    is_torchvision_available,
     is_transformers_available,
 )
 
@@ -23,6 +23,9 @@ if is_transformers_available():
 if is_peft_available():
     from peft import set_peft_model_state_dict
 
+if is_torchvision_available():
+    from torchvision import transforms
+
 
 def set_seed(seed: int):
     """
@@ -79,6 +82,11 @@ def resolve_interpolation_mode(interpolation_type: str):
         `torchvision.transforms.InterpolationMode`: an `InterpolationMode` enum used by torchvision's `resize`
         transform.
     """
+    if not is_torchvision_available():
+        raise ImportError(
+            "Please make sure to install `torchvision` to be able to use the `resolve_interpolation_mode()` function."
+        )
+
     if interpolation_type == "bilinear":
         interpolation_mode = transforms.InterpolationMode.BILINEAR
     elif interpolation_type == "bicubic":

src/diffusers/utils/__init__.py

@@ -75,6 +75,7 @@ from .import_utils import (
     is_torch_version,
     is_torch_xla_available,
     is_torchsde_available,
+    is_torchvision_available,
     is_transformers_available,
     is_transformers_version,
     is_unidecode_available,

src/diffusers/utils/import_utils.py

@@ -278,6 +278,13 @@ try:
 except importlib_metadata.PackageNotFoundError:
     _peft_available = False
 
+_torchvision_available = importlib.util.find_spec("torchvision") is not None
+try:
+    _torchvision_version = importlib_metadata.version("torchvision")
+    logger.debug(f"Successfully imported torchvision version {_torchvision_version}")
+except importlib_metadata.PackageNotFoundError:
+    _torchvision_available = False
+
 
 def is_torch_available():
     return _torch_available
@@ -367,6 +374,10 @@ def is_peft_available():
     return _peft_available
 
 
+def is_torchvision_available():
+    return _torchvision_available
+
+
 # docstyle-ignore
 FLAX_IMPORT_ERROR = """
 {0} requires the FLAX library but it was not found in your environment. Checkout the instructions on the