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8f28236546
Sponsored by: Future Crew, LLC Pull Request: https://github.com/freebsd/freebsd-ports/pull/361
24 lines
740 B
Python
24 lines
740 B
Python
import sys
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import torch
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from diffusers import StableDiffusionPipeline
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model_id = "CompVis/stable-diffusion-v1-4"
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device = "cuda" if torch.cuda.is_available() else "cpu"
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if device == "cpu":
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print(
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"CUDA is not available\n"
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"Please ensure the following:\n"
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"1. NVIDIA GPU is present in the system\n"
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"2. NVIDIA Driver kernel module is loaded\n"
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"3. dummy-uvm library is preloaded"
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)
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sys.exit(1)
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pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
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pipe = pipe.to(device)
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prompt = "a photo of an astronaut riding a horse on mars"
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image = pipe(prompt).images[0]
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image.save("astronaut_rides_horse.png")
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print(f"Image saved to astronaut_rides_horse.png")
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