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#!/usr/bin/env python3
from diffusers import DiffusionPipeline
import torch
import os
import sys
local_path = sys.argv[1]
local_path = os.path.abspath(local_path)
prompts = ["astronaut on mars", "Barack Obama smiling with a big grin"]
pipe = DiffusionPipeline.from_pretrained(local_path, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
for prompt in prompts:
image = pipe(prompt).images[0]
image.save(f"/home/patrick_huggingface_co/images/a_{'_'.join(prompt.split())}.png")
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