stable-diffusion
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41 lines
1.2 KiB
41 lines
1.2 KiB
1 year ago
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# This is a sample Python script.
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# Press Shift+F10 to execute it or replace it with your code.
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# Press Double Shift to search everywhere for classes, files, tool windows, actions, and settings.
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def print_hi(name):
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# Use a breakpoint in the code line below to debug your script.
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print(f'Hi, {name}') # Press Ctrl+F8 to toggle the breakpoint.
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# Press the green button in the gutter to run the script.
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if __name__ == '__main__':
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print_hi('PyCharm')
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# See PyCharm help at https://www.jetbrains.com/help/pycharm/
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import logging
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import torch
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from diffusers import StableDiffusionPipeline, DPMSolverMultistepSchedule
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from towhee.operator import PyOperator
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log = logging.getLogger(PyOperator)
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class Generation(PyOperator):
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def __init__(self,model_id='stabilityai/stable-diffusion-2-1'):
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self._model_id=model_id
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def __call__(self, *args, **kwargs):
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pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float32)
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self._pipe = pipe
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prompt=input("please type the prompt")
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self._prompt=prompt
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image = pipe(prompt).images[0]
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self._image=image
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return image("x.png")
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#image = pipe(prompt).images[0]
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#image.save("x.png”)
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