53 lines
1.6 KiB
Python
53 lines
1.6 KiB
Python
import comfy.supported_models_base
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import comfy.latent_formats
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import comfy.model_patcher
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import comfy.model_base
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import comfy.utils
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import torch
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from comfy import model_management
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from .models import PixArtMS
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class EXM_PixArt(comfy.supported_models_base.BASE):
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unet_config = {}
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unet_extra_config = {}
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latent_format = comfy.latent_formats.SD15
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def model_type(self, state_dict, prefix=""):
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return comfy.model_base.ModelType.EPS
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def load_pixart(model_path, model_conf):
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state_dict = comfy.utils.load_torch_file(model_path)
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state_dict = state_dict.get("model", state_dict)
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parameters = comfy.utils.calculate_parameters(state_dict)
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unet_dtype = model_management.unet_dtype(model_params=parameters)
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model = comfy.model_base.BaseModel(
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EXM_PixArt({"disable_unet_model_creation" : True }),
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model_type=comfy.model_base.ModelType.EPS,
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device=model_management.get_torch_device()
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)
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model.pixart_config = model_conf
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if model_conf["target"] == "PixArtMS":
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from .models.PixArtMS import PixArtMS
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model.diffusion_model = PixArtMS(**model_conf)
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elif model_conf["target"] == "PixArt":
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from .models.PixArt import PixArt
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model.diffusion_model = PixArt(**model_conf)
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else:
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raise NotImplementedError
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model.diffusion_model.load_state_dict(state_dict)
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model.diffusion_model.dtype = unet_dtype
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model.diffusion_model.eval()
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model.diffusion_model.to(unet_dtype)
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model_patcher = comfy.model_patcher.ModelPatcher(
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model,
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load_device = comfy.model_management.get_torch_device(),
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offload_device = comfy.model_management.unet_offload_device(),
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current_device = "cpu",
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)
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return model_patcher
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