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Merge pull request #152 from cmdr2/beta

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Auto-switch to CPU for GPUs with less 3 GB of VRAM
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cmdr2 2022-09-12 11:17:04 +05:30 committed by GitHub
commit 75f5ec8575
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1 changed files with 12 additions and 3 deletions
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15
ui/sd_internal/runtime.py
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@ -57,12 +57,21 @@ sampler_ddim = None
has_valid_gpu = False has_valid_gpu = False
force_full_precision = False force_full_precision = False
try: try:
gpu_name = torch.cuda.get_device_name(torch.cuda.current_device()) gpu = torch.cuda.current_device()
print('detected: ', gpu_name) gpu_name = torch.cuda.get_device_name(gpu)
has_valid_gpu = True print('GPU detected: ', gpu_name)
force_full_precision = ('nvidia' in gpu_name.lower() or 'geforce' in gpu_name.lower()) and (' 1660' in gpu_name or ' 1650' in gpu_name) # otherwise these NVIDIA cards create green images force_full_precision = ('nvidia' in gpu_name.lower() or 'geforce' in gpu_name.lower()) and (' 1660' in gpu_name or ' 1650' in gpu_name) # otherwise these NVIDIA cards create green images
if force_full_precision: if force_full_precision:
print('forcing full precision on NVIDIA 16xx cards, to avoid green images. GPU detected: ', gpu_name) print('forcing full precision on NVIDIA 16xx cards, to avoid green images. GPU detected: ', gpu_name)
mem_free, mem_total = torch.cuda.mem_get_info(gpu)
mem_total /= float(10**9)
if mem_total < 3.0:
print("GPUs with less than 3 GB of VRAM are not compatible with Stable Diffusion")
raise Exception()
has_valid_gpu = True
except: except:
print('WARNING: No compatible GPU found. Using the CPU, but this will be very slow!') print('WARNING: No compatible GPU found. Using the CPU, but this will be very slow!')
pass pass