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import torch | |
from diffusers import StableDiffusionImg2ImgPipeline | |
import os | |
TOKEN = os.environ.get('TOKEN_SD') or True | |
torch.cuda.empty_cache() | |
device = "cpu" | |
def pipe_image(prompt, | |
init_image=None, | |
strength=0.6): | |
pipe = StableDiffusionImg2ImgPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", | |
revision="fp16", | |
torch_dtype=torch.float32, | |
use_auth_token=TOKEN | |
) | |
pipe = pipe.to(device) | |
#pipe.enable_attention_slicing() | |
images = pipe(prompt=prompt, | |
init_image=init_image, | |
strength=strength, | |
guidance_scale=7.5, | |
) | |
return images |