INNER CODE UNIT · Python

from_diffusers

KlingAIResearch/ReCamMaster · diffsynth/extensions/ESRGAN/__init__.py:78

    def from_diffusers(self, state_dict):
        return state_dict, {"upcast_to_float32": True}
    
    def from_civitai(self, state_dict):
        return state_dict, {"upcast_to_float32": True}


class ESRGAN(torch.nn.Module):
    def __init__(self, model):
        super().__init__()
        self.model = model

    @staticmethod
    def from_model_manager(model_manager):
        return ESRGAN(model_manager.fetch_model("esrgan"))

    def process_image(self, image):
        image = torch.Tensor(np.array(image, dtype=np.float32) / 255).permute(2, 0, 1)

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