Error completing request5:47,  8.54it/s]
Arguments: ('task(pk62i5fpzfslnh3)', 'masterpiece, best quality, ultra-detailed, illustration, (solo), nsfw, wide hips, looking to the side, (white hair), garden background, sunlight, furry, furry female, body fur, snout, animal nose, cowboy shot, 1girl, white outline, outline, (brown fur), (red eyes), empty eyes, cleft of venus, teeth, tail raised, light smile, head tilt, (focus on eyes), sally acorn, squirrel girl, squirrel tail, squirrel ears, red hair, two-tone fur, white fur, small breasts, blue footwear, standing, (blue vest:1.2), (blue knee boots:1.2), chest tuft, blue jacket, bare shoulders, (black shorts), (closed mouth), waterfall, (arms behind back), zipper, light smile, fluffy,', '(worst quality, low quality:1.4), multiple girls, bad face, cropped, error, (ugly:1.2), colored sclera, gape, black fur, grey fur, multiple tails, from behind, headband, jewelry, nipples, pussy, gloves, penis, testicles, breasts out,', [], 30, 15, False, False, 1, 1, 5, -1.0, 1366881690.0, 0.15, 0, 0, False, 512, 512, True, 0.7, 2, 'Latent (nearest-exact)', 0, 720, 1080, 0, 0, 0, 0, 0, 0.25, True, 'LoRA', '10 - big(3f0b4fd7)', 1, 'LoRA', 'None', 0, 'LoRA', 'None', 0, 'LoRA', 'None', 0, 'LoRA', 'None', 0, 'Refresh models', False, False, False, False, '', 0, '01 - big\n02 - big\n03 - big\n04 - big\n05 - big\n06 - big\n07 - big\n08 - big\n09 - big\n10 - big', 22, '1', True, False, False, '', 5, 24, 12.5, 1000, 'DDIM', 0, 64, 64, '', 64, 7.5, 0.42, 'DDIM', 64, 64, 1, 0, 92, True, True, True, False, False, False, 'midas_v21_small', 0, 0, 512, 512, False, False, True, True, True, False, True, 1, False, False, 2.5, 4, 0, False, 0, 1, False) {}
Traceback (most recent call last):
  File "F:\stable-diffusion\modules\call_queue.py", line 56, in f
    res = list(func(*args, **kwargs))
  File "F:\stable-diffusion\modules\call_queue.py", line 37, in f
    res = func(*args, **kwargs)
  File "F:\stable-diffusion\modules\txt2img.py", line 52, in txt2img
    processed = process_images(p)
  File "F:\stable-diffusion\modules\processing.py", line 475, in process_images
    res = process_images_inner(p)
  File "F:\stable-diffusion\modules\processing.py", line 614, in process_images_inner
    devices.test_for_nans(x, "vae")
  File "F:\stable-diffusion\modules\devices.py", line 136, in test_for_nans
    raise NansException(message)
modules.devices.NansException: A tensor with all NaNs was produced in VAE.