pass pipe_components when turn control on/off

iopaint/model/controlnet.py

@@ -47,7 +47,7 @@ class ControlNet(DiffusionInpaintModel):
         self.model_info = model_info
         self.controlnet_method = controlnet_method
 
-        model_kwargs = {}
+        model_kwargs = {**kwargs.get("pipe_components", {})}
         if kwargs["disable_nsfw"] or kwargs.get("cpu_offload", False):
             logger.info("Disable Stable Diffusion Model NSFW checker")
             model_kwargs.update(

iopaint/model/helper/cpu_text_encoder.py

@@ -1,10 +1,12 @@
 import torch
+from transformers import PreTrainedModel
+
 from ..utils import torch_gc
 
 
-class CPUTextEncoderWrapper(torch.nn.Module):
+class CPUTextEncoderWrapper(PreTrainedModel):
     def __init__(self, text_encoder, torch_dtype):
-        super().__init__()
+        super().__init__(text_encoder.config)
         self.config = text_encoder.config
         self.text_encoder = text_encoder.to(torch.device("cpu"), non_blocking=True)
         self.text_encoder = self.text_encoder.to(torch.float32, non_blocking=True)

iopaint/model/sd.py

@@ -19,7 +19,7 @@ class SD(DiffusionInpaintModel):
 
         use_gpu, torch_dtype = get_torch_dtype(device, kwargs.get("no_half", False))
 
-        model_kwargs = {}
+        model_kwargs = {**kwargs.get("pipe_components", {})}
         if kwargs["disable_nsfw"] or kwargs.get("cpu_offload", False):
             logger.info("Disable Stable Diffusion Model NSFW checker")
             model_kwargs.update(

iopaint/model/sdxl.py

@@ -36,15 +36,18 @@ class SDXL(DiffusionInpaintModel):
                 num_in_channels=num_in_channels,
             )
         else:
+            model_kwargs = {**kwargs.get("pipe_components", {})}
+            if 'vae' not in model_kwargs:
                 vae = AutoencoderKL.from_pretrained(
                     "madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch_dtype
                 )
+                model_kwargs['vae'] = vae
             self.model = handle_from_pretrained_exceptions(
                 StableDiffusionXLInpaintPipeline.from_pretrained,
                 pretrained_model_name_or_path=self.model_id_or_path,
                 torch_dtype=torch_dtype,
-                vae=vae,
                 variant="fp16",
+                **model_kwargs
             )
 
         enable_low_mem(self.model, kwargs.get("low_mem", False))

iopaint/model/utils.py

@@ -978,6 +978,7 @@ def handle_from_pretrained_exceptions(func, **kwargs):
         if "You are trying to load the model files of the `variant=fp16`" in str(e):
             logger.info("variant=fp16 not found, try revision=fp16")
             return func(**{**kwargs, "variant": None, "revision": "fp16"})
+        raise e
     except OSError as e:
         previous_traceback = traceback.format_exc()
         if "RevisionNotFoundError: 404 Client Error." in previous_traceback:

iopaint/model_manager.py

@@ -141,8 +141,19 @@ class ModelManager:
             self.enable_controlnet = config.enable_controlnet
             self.controlnet_method = config.controlnet_method
 
+            pipe_components = {
+                "vae": self.model.model.vae,
+                "text_encoder": self.model.model.text_encoder,
+                "unet": self.model.model.unet,
+            }
+            if hasattr(self.model.model, "text_encoder_2"):
+                pipe_components["text_encoder_2"] = self.model.model.text_encoder_2
+
             self.model = self.init_model(
-                self.name, switch_mps_device(self.name, self.device), **self.kwargs
+                self.name,
+                switch_mps_device(self.name, self.device),
+                pipe_components=pipe_components,
+                **self.kwargs,
             )
             if not config.enable_controlnet:
                 logger.info(f"Disable controlnet")