fix(api): check diffusers version before imports (#336)

api/onnx_web/convert/diffusion/control.py

@@ -4,8 +4,7 @@ from pathlib import Path
 from typing import Dict
 
 import torch
-from diffusers.models.controlnet import ControlNetModel
+from ...diffusers.version_safe_diffusers import AttnProcessor, ControlNetModel
-from diffusers.models.cross_attention import CrossAttnProcessor
 
 from ...constants import ONNX_MODEL
 from ..utils import ConversionContext, is_torch_2_0, onnx_export
@@ -43,7 +42,7 @@ def convert_diffusion_control(
 
     # UNET
     if is_torch_2_0:
-        controlnet.set_attn_processor(CrossAttnProcessor())
+        controlnet.set_attn_processor(AttnProcessor())
 
     cnet_path = output_path / "cnet" / ONNX_MODEL
     onnx_export(

api/onnx_web/convert/diffusion/diffusers.py

@@ -22,12 +22,12 @@ from diffusers import (
     OnnxStableDiffusionPipeline,
     StableDiffusionPipeline,
 )
-from diffusers.models.cross_attention import CrossAttnProcessor
 from onnx import load_model, save_model
 
 from ...constants import ONNX_MODEL, ONNX_WEIGHTS
 from ...diffusers.load import optimize_pipeline
 from ...diffusers.pipelines.upscale import OnnxStableDiffusionUpscalePipeline
+from ...diffusers.version_safe_diffusers import AttnProcessor
 from ...models.cnet import UNet2DConditionModel_CNet
 from ..utils import ConversionContext, is_torch_2_0, onnx_export
 
@@ -51,7 +51,7 @@ def convert_diffusion_diffusers_cnet(
     )
 
     if is_torch_2_0:
-        pipe_cnet.set_attn_processor(CrossAttnProcessor())
+        pipe_cnet.set_attn_processor(AttnProcessor())
 
     cnet_path = output_path / "cnet" / ONNX_MODEL
     onnx_export(
@@ -262,7 +262,7 @@ def convert_diffusion_diffusers(
         unet_scale = torch.tensor(False).to(device=device, dtype=torch.bool)
 
     if is_torch_2_0:
-        pipeline.unet.set_attn_processor(CrossAttnProcessor())
+        pipeline.unet.set_attn_processor(AttnProcessor())
 
     unet_in_channels = pipeline.unet.config.in_channels
     unet_sample_size = pipeline.unet.config.sample_size

api/onnx_web/diffusers/load.py

@@ -4,9 +4,24 @@ from typing import Any, List, Optional, Tuple
 
 import numpy as np
 import torch
-from diffusers import (
+from onnx import load_model
+from transformers import CLIPTokenizer
+
+from ..constants import ONNX_MODEL
+from ..convert.diffusion.lora import blend_loras, buffer_external_data_tensors
+from ..convert.diffusion.textual_inversion import blend_textual_inversions
+from ..diffusers.utils import expand_prompt
+from ..models.meta import NetworkModel
+from ..params import DeviceParams, Size
+from ..server import ServerContext
+from ..utils import run_gc
+from .pipelines.controlnet import OnnxStableDiffusionControlNetPipeline
+from .pipelines.lpw import OnnxStableDiffusionLongPromptWeightingPipeline
+from .pipelines.pix2pix import OnnxStableDiffusionInstructPix2PixPipeline
+from .version_safe_diffusers import (
     DDIMScheduler,
     DDPMScheduler,
+    DEISMultistepScheduler,
     DPMSolverMultistepScheduler,
     DPMSolverSinglestepScheduler,
     EulerAncestralDiscreteScheduler,
@@ -21,31 +36,8 @@ from diffusers import (
     OnnxStableDiffusionPipeline,
     PNDMScheduler,
     StableDiffusionPipeline,
+    UniPCMultistepScheduler,
 )
-from onnx import load_model
-from transformers import CLIPTokenizer
-
-try:
-    from diffusers import DEISMultistepScheduler
-except ImportError:
-    from ..diffusers.stub_scheduler import StubScheduler as DEISMultistepScheduler
-
-try:
-    from diffusers import UniPCMultistepScheduler
-except ImportError:
-    from ..diffusers.stub_scheduler import StubScheduler as UniPCMultistepScheduler
-
-from ..constants import ONNX_MODEL
-from ..convert.diffusion.lora import blend_loras, buffer_external_data_tensors
-from ..convert.diffusion.textual_inversion import blend_textual_inversions
-from ..diffusers.pipelines.controlnet import OnnxStableDiffusionControlNetPipeline
-from ..diffusers.pipelines.pix2pix import OnnxStableDiffusionInstructPix2PixPipeline
-from ..diffusers.utils import expand_prompt
-from ..models.meta import NetworkModel
-from ..params import DeviceParams, Size
-from ..server import ServerContext
-from ..utils import run_gc
-from .pipelines.lpw import OnnxStableDiffusionLongPromptWeightingPipeline
 
 logger = getLogger(__name__)
 

api/onnx_web/diffusers/version_safe_diffusers.py

@@ -0,0 +1,30 @@
+import diffusers
+from diffusers import *  # NOQA
+from packaging import version
+
+is_diffusers_0_15 = version.parse(
+    version.parse(diffusers.__version__).base_version
+) >= version.parse("0.15")
+
+
+try:
+    from diffusers import DEISMultistepScheduler  # NOQA
+except ImportError:
+    from ..diffusers.stub_scheduler import (
+        StubScheduler as DEISMultistepScheduler,  # NOQA
+    )
+
+try:
+    from diffusers import UniPCMultistepScheduler  # NOQA
+except ImportError:
+    from ..diffusers.stub_scheduler import (
+        StubScheduler as UniPCMultistepScheduler,  # NOQA
+    )
+
+
+if is_diffusers_0_15:
+    from diffusers.models.attention_processor import AttnProcessor  # NOQA
+else:
+    from diffusers.models.cross_attention import (
+        CrossAttnProcessor as AttnProcessor,  # NOQA
+    )

api/onnx_web/image/laion_face.py

@@ -1,4 +1,5 @@
-# from https://github.com/ForserX/StableDiffusionUI/blob/main/data/repo/diffusion_scripts/modules/controlnet/laion_face_common.py
+# from https://huggingface.co/CrucibleAI/ControlNetMediaPipeFace/blob/main/laion_face_common.py
+# and https://github.com/ForserX/StableDiffusionUI/blob/main/data/repo/diffusion_scripts/modules/controlnet/laion_face_common.py
 
 from typing import Mapping