Modular device management
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modules/devices.py
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12
modules/devices.py
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@ -0,0 +1,12 @@
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import torch
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# has_mps is only available in nightly pytorch (for now), `getattr` for compatibility
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has_mps = getattr(torch, 'has_mps', False)
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def get_optimal_device():
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if torch.cuda.is_available():
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return torch.device("cuda")
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if has_mps:
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return torch.device("mps")
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return torch.device("cpu")
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@ -9,12 +9,13 @@ from PIL import Image
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import modules.esrgam_model_arch as arch
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from modules import shared
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from modules.shared import opts
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from modules.devices import has_mps
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import modules.images
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def load_model(filename):
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# this code is adapted from https://github.com/xinntao/ESRGAN
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pretrained_net = torch.load(filename, map_location='cpu' if torch.has_mps else None)
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pretrained_net = torch.load(filename, map_location='cpu' if has_mps else None)
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crt_model = arch.RRDBNet(3, 3, 64, 23, gc=32)
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if 'conv_first.weight' in pretrained_net:
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@ -1,13 +1,9 @@
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import torch
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from modules.devices import get_optimal_device
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module_in_gpu = None
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cpu = torch.device("cpu")
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if torch.has_cuda:
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device = gpu = torch.device("cuda")
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elif torch.has_mps:
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device = gpu = torch.device("mps")
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else:
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device = gpu = torch.device("cpu")
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device = gpu = get_optimal_device()
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def setup_for_low_vram(sd_model, use_medvram):
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parents = {}
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@ -9,6 +9,7 @@ import tqdm
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import modules.artists
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from modules.paths import script_path, sd_path
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from modules.devices import get_optimal_device
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import modules.styles
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config_filename = "config.json"
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@ -43,12 +44,8 @@ parser.add_argument("--ui-config-file", type=str, help="filename to use for ui c
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cmd_opts = parser.parse_args()
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if torch.has_cuda:
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device = torch.device("cuda")
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elif torch.has_mps:
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device = torch.device("mps")
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else:
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device = torch.device("cpu")
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device = get_optimal_device()
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batch_cond_uncond = cmd_opts.always_batch_cond_uncond or not (cmd_opts.lowvram or cmd_opts.medvram)
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parallel_processing_allowed = not cmd_opts.lowvram and not cmd_opts.medvram
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