mirror of
https://github.com/brycedrennan/imaginAIry
synced 2024-11-17 09:25:47 +00:00
42 lines
1.3 KiB
Python
42 lines
1.3 KiB
Python
import torch
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from torch.cuda import OutOfMemoryError
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from imaginairy import ImaginePrompt, imagine_image_files
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from imaginairy.utils import get_device
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def assess_memory_usage():
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assert get_device() == "cuda"
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img_size = 3048
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prompt = ImaginePrompt("strawberries", width=64, height=64, seed=1)
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imagine_image_files([prompt], outdir="outputs")
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datalog = []
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while True:
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torch.cuda.reset_peak_memory_stats()
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prompt = ImaginePrompt(
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"beautiful landscape, Unreal Engine 5, RTX, AAA Game, Detailed 3D Render, Cinema4D",
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width=img_size,
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height=img_size,
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seed=1,
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steps=2,
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)
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try:
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imagine_image_files([prompt], outdir="outputs")
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except OutOfMemoryError as e:
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print(f"Out of memory at {img_size}x{img_size} size image.")
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print(e)
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break
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max_used = torch.cuda.max_memory_allocated() / 1024**3
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datalog.append((img_size, max_used))
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print(f"{img_size},{max_used:.2f}\n")
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img_size += 128
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with open("img_size_memory_usage.csv", "w", encoding="utf-8") as f:
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f.write("img_size,max_used\n")
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for img_size, max_used in datalog:
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f.write(f"{img_size},{max_used:.2f}\n")
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if __name__ == "__main__":
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assess_memory_usage()
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