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https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
fix debug_image to not crash with non-RGB images.
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875312080d
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24
ldm/util.py
24
ldm/util.py
@ -1,17 +1,13 @@
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import importlib
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import importlib
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import torch
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import numpy as np
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import math
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import math
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from collections import abc
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from einops import rearrange
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from functools import partial
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import multiprocessing as mp
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import multiprocessing as mp
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from threading import Thread
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from collections import abc
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from queue import Queue
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from inspect import isfunction
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from inspect import isfunction
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from queue import Queue
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from threading import Thread
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import numpy as np
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import torch
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from PIL import Image, ImageDraw, ImageFont
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from PIL import Image, ImageDraw, ImageFont
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@ -221,7 +217,7 @@ def rand_perlin_2d(shape, res, device, fade = lambda t: 6*t**5 - 15*t**4 + 10*t*
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grid = torch.stack(torch.meshgrid(torch.arange(0, res[0], delta[0]), torch.arange(0, res[1], delta[1]), indexing='ij'), dim = -1).to(device) % 1
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grid = torch.stack(torch.meshgrid(torch.arange(0, res[0], delta[0]), torch.arange(0, res[1], delta[1]), indexing='ij'), dim = -1).to(device) % 1
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rand_val = torch.rand(res[0]+1, res[1]+1)
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rand_val = torch.rand(res[0]+1, res[1]+1)
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angles = 2*math.pi*rand_val
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angles = 2*math.pi*rand_val
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gradients = torch.stack((torch.cos(angles), torch.sin(angles)), dim = -1).to(device)
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gradients = torch.stack((torch.cos(angles), torch.sin(angles)), dim = -1).to(device)
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@ -249,8 +245,8 @@ def ask_user(question: str, answers: list):
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def debug_image(debug_image, debug_text, debug_show=True, debug_result=False, debug_status=False ):
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def debug_image(debug_image, debug_text, debug_show=True, debug_result=False, debug_status=False ):
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if not debug_status:
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if not debug_status:
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return
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return
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image_copy = debug_image.copy()
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image_copy = debug_image.copy().convert("RGBA")
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ImageDraw.Draw(image_copy).text(
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ImageDraw.Draw(image_copy).text(
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(5, 5),
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(5, 5),
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debug_text,
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debug_text,
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@ -261,4 +257,4 @@ def debug_image(debug_image, debug_text, debug_show=True, debug_result=False, de
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image_copy.show()
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image_copy.show()
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if debug_result:
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if debug_result:
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return image_copy
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return image_copy
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