67 lines
2.0 KiB
Python
67 lines
2.0 KiB
Python
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from ast import parse
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from distutils.log import error
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from msilib.schema import Directory
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import os
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import time
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from IPython.display import display, update_display
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import torch
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from tqdm.auto import tqdm
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from min_dalle import MinDalle
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t = torch.cuda.get_device_properties(0).total_memory
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if t <=8500000000:
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print("Not enough GPU memory to generate pictures")
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else:
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amount = int(input("Amount: "))
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directory = "./data/input/"
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if not os.path.exists(directory):
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os.makedirs(directory)
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for root, subdirectories, files in os.walk(directory):
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for filename in files:
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if filename.endswith(".png"):
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path_img = os.path.join(root, filename)
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os.remove(path_img)
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dtype = "float32"
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if t <= 10500000000:
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dtype = "float16"
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model = MinDalle(
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dtype=getattr(torch, dtype),
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device='cuda',
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is_mega=True,
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is_reusable=True
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)
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file1 = open("prompt.txt","r+")
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text = file1.read()
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print(text)
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##text = "Brave cat knight in closeface helmet with big cat eyes and cat fur, open neck, full face, rainy background, raytraced, digital art , 4k , highly detailed , trending on artstation, close to life" #@param {type:"string"}
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progressive_outputs = True
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seamless = True
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grid_size = 1
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temperature = 2
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supercondition_factor = 16
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top_k = 128
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start_time = time.time()
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for counterr in range(amount):
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print("Making pic "+str(counterr))
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image_stream = model.generate_image_stream(
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text=text,
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seed=-1,
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grid_size=grid_size,
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progressive_outputs=progressive_outputs,
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is_seamless=seamless,
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temperature=temperature,
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top_k=int(top_k),
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supercondition_factor=float(supercondition_factor)
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)
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for image in image_stream:
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image.save(directory+str(counterr)+".png")
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print("Made " + str(amount) + " pictures in " + str(time.time()-start_time) + " seconds")
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