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Friday 1 year ago
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  1. 6
      README.md
  2. 2
      Stable_diff_text2image.py

6
README.md

@ -59,9 +59,11 @@ pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float
#pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config) #pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
prompt = "an orange cat"/“a corgi”
prompt = "an orange cat"
image = pipe(prompt).images[0] image.save("orange_cat.png"/“corgi.png”)
image = pipe(prompt).images[0]
image.save("orange_cat.png")
``` ```
. .

2
Stable_diff_text2image.py

@ -8,7 +8,7 @@ log = logging.getLogger(PyOperator)
class StableDiffusion(PyOperator): class StableDiffusion(PyOperator):
def __init__(self,model_id='stabilityai/stable-diffusion-2-1',pipe='StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float32'): def __init__(self,model_id='stabilityai/stable-diffusion-2-1',pipe='StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float32'):
self._model_id=model_id self._model_id=model_id
self.pipe = pipe
self._pipe = pipe
def __call__(self, prompt:str): def __call__(self, prompt:str):
# pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config) # pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)

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