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| from adapt_sd import StableDiffusion | |
| from my.config import BaseConf | |
| class SD(BaseConf): | |
| """Stable Diffusion""" | |
| variant: str = "v1" | |
| v2_highres: bool = False | |
| prompt: str = "a photograph of an astronaut riding a horse" | |
| scale: float = 3.0 # classifier free guidance scale | |
| precision: str = 'autocast' | |
| dir: str = './' | |
| alpha: float = 0.0 # merge scale | |
| def make(self): | |
| args = self.dict() | |
| model = StableDiffusion(**args) | |
| return model |