Create new.py
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new.py
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from diffusers import AutoPipelineForText2Image
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import torch
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pipeline = AutoPipelineForText2Image.from_pretrained(
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"runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16, variant="fp16"
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).to("cuda")
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image = pipeline(
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"stained glass of darth vader, backlight, centered composition, masterpiece, photorealistic, 8k"
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).images[0]
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image
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