Update nodes.py
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@@ -10,7 +10,7 @@ import comfy.model_management as mm
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import comfy.utils
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from contextlib import nullcontext
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from .lvdm.models.samplers.ddim import DDIMSampler
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from. lvdm.modules.networks.openaimodel3d import ControlNet
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from .lvdm.modules.networks.openaimodel3d import ControlNet
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from contextlib import nullcontext
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try:
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@@ -163,12 +163,10 @@ class DownloadAndLoadDynamiCrafterCNModel:
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CATEGORY = "DynamiCrafterWrapper"
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def loadmodel(self, model):
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device = mm.get_torch_device()
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mm.soft_empty_cache()
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custom_config = {
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'ckpt_name': model,
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}
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if not hasattr(self, 'model') or self.model == None or custom_config != self.current_config:
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if not hasattr(self, 'cn_model') or self.cn_model == None or custom_config != self.current_config:
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download_path = os.path.join(folder_paths.models_dir, "checkpoints", "dynamicrafter", "controlnet")
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cn_model_path = os.path.join(download_path, model)
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@@ -199,14 +197,14 @@ class DownloadAndLoadDynamiCrafterCNModel:
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if "sketch_encoder" in model:
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cn_config["hint_channels"] = 1
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cn_model = ControlNet(**cn_config)
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self.cn_model = ControlNet(**cn_config)
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print("Loading ControlNet")
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cn_sd = comfy.utils.load_torch_file(cn_model_path)
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cn_model.load_state_dict(cn_sd, strict=True)
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self.cn_model.load_state_dict(cn_sd, strict=True)
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print("ControlNet loaded")
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controlnet = {
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'model': cn_model,
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'model': self.cn_model,
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'config': cn_config,
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}
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@@ -226,15 +224,12 @@ class DynamiCrafterCNLoader:
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CATEGORY = "DynamiCrafterWrapper"
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def loadmodel(self, ckpt_name):
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device = mm.get_torch_device()
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mm.soft_empty_cache()
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custom_config = {
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'ckpt_name': ckpt_name,
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}
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if not hasattr(self, 'model') or self.model == None or custom_config != self.current_config:
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if not hasattr(self, 'cn_model') or self.cn_model == None or custom_config != self.current_config:
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model_path = folder_paths.get_full_path("controlnet", ckpt_name)
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ckpt_base_name = os.path.basename(model_path)
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print(f"Loading ControlNet from: {model_path}")
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cn_config = {
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@@ -256,14 +251,15 @@ class DynamiCrafterCNLoader:
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if "sketch_encoder" in ckpt_name:
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cn_config["hint_channels"] = 1
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cn_model = ControlNet(**cn_config)
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self.cn_model = ControlNet(**cn_config)
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print("Loading ControlNet")
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cn_sd = comfy.utils.load_torch_file(model_path)
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cn_model.load_state_dict(cn_sd, strict=True)
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self.cn_model.load_state_dict(cn_sd, strict=True)
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del cn_sd
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print("ControlNet loaded")
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controlnet = {
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'model': cn_model,
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'model': self.cn_model,
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'config': cn_config,
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}
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