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Support loading CosXL engines. #14

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Support loading CosXL engines. #14

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10 changes: 8 additions & 2 deletions tensorrt_loader.py
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Original file line number Diff line number Diff line change
Expand Up @@ -110,7 +110,9 @@ class TensorRTLoader:
@classmethod
def INPUT_TYPES(s):
return {"required": {"unet_name": (folder_paths.get_filename_list("tensorrt"), ),
"model_type": (["sdxl_base", "sdxl_refiner", "sd1.x", "sd2.x-768v", "svd", "sd3", "auraflow"], ),
"model_type": (["sdxl_base", "sdxl_refiner",
"sd1.x", "sd2.x-768v", "svd",
"sd3", "auraflow", "cosxl"], ),
}}
RETURN_TYPES = ("MODEL",)
FUNCTION = "load_unet"
Expand Down Expand Up @@ -150,6 +152,10 @@ def load_unet(self, unet_name, model_type):
conf = comfy.supported_models.AuraFlow({})
conf.unet_config["disable_unet_model_creation"] = True
model = conf.get_model({})
elif model_type == "cosxl":
conf = comfy.supported_models.SDXL({"adm_in_channels": 2816})
conf.unet_config["disable_unet_model_creation"] = True
model = comfy.model_base.SDXL(conf, model_type=comfy.model_base.ModelType.V_PREDICTION_EDM)
model.diffusion_model = unet
model.memory_required = lambda *args, **kwargs: 0 #always pass inputs batched up as much as possible, our TRT code will handle batch splitting

Expand All @@ -159,4 +165,4 @@ def load_unet(self, unet_name, model_type):

NODE_CLASS_MAPPINGS = {
"TensorRTLoader": TensorRTLoader,
}
}