forked from extern/easydiffusion
63 lines
1.4 KiB
Python
63 lines
1.4 KiB
Python
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import json
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class Request:
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prompt: str = ""
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init_image: str = None # base64
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mask: str = None # base64
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num_outputs: int = 1
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num_inference_steps: int = 50
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guidance_scale: float = 7.5
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width: int = 512
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height: int = 512
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seed: int = 42
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prompt_strength: float = 0.8
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# allow_nsfw: bool = False
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precision: str = "autocast" # or "full"
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save_to_disk_path: str = None
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turbo: bool = True
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use_cpu: bool = False
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use_full_precision: bool = False
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def to_string(self):
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return f'''
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prompt: {self.prompt}
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seed: {self.seed}
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num_inference_steps: {self.num_inference_steps}
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guidance_scale: {self.guidance_scale}
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w: {self.width}
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h: {self.height}
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precision: {self.precision}
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save_to_disk_path: {self.save_to_disk_path}
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turbo: {self.turbo}
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use_cpu: {self.use_cpu}
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use_full_precision: {self.use_full_precision}'''
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class Image:
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data: str # base64
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seed: int
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is_nsfw: bool
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def __init__(self, data, seed):
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self.data = data
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self.seed = seed
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def json(self):
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return {
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"data": self.data,
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"seed": self.seed,
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}
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class Response:
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images: list
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def json(self):
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res = {
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"status": 'succeeded',
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"output": [],
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}
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for image in self.images:
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res["output"].append(image.json())
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return res
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