diff options
Diffstat (limited to 'modules')
| -rw-r--r-- | modules/codeformer_model.py | 2 | ||||
| -rw-r--r-- | modules/devices.py | 3 | ||||
| -rw-r--r-- | modules/sd_models.py | 1 |
3 files changed, 4 insertions, 2 deletions
diff --git a/modules/codeformer_model.py b/modules/codeformer_model.py index f293acf5..da42b5e9 100644 --- a/modules/codeformer_model.py +++ b/modules/codeformer_model.py @@ -99,7 +99,7 @@ def setup_model(dirname): output = self.net(cropped_face_t, w=w if w is not None else shared.opts.code_former_weight, adain=True)[0]
restored_face = tensor2img(output, rgb2bgr=True, min_max=(-1, 1))
del output
- torch.cuda.empty_cache()
+ devices.torch_gc()
except Exception:
errors.report('Failed inference for CodeFormer', exc_info=True)
restored_face = tensor2img(cropped_face_t, rgb2bgr=True, min_max=(-1, 1))
diff --git a/modules/devices.py b/modules/devices.py index 620ed1a6..c5ad950f 100644 --- a/modules/devices.py +++ b/modules/devices.py @@ -49,10 +49,13 @@ def get_device_for(task): def torch_gc(): + if torch.cuda.is_available(): with torch.cuda.device(get_cuda_device_string()): torch.cuda.empty_cache() torch.cuda.ipc_collect() + elif has_mps() and hasattr(torch.mps, 'empty_cache'): + torch.mps.empty_cache() def enable_tf32(): diff --git a/modules/sd_models.py b/modules/sd_models.py index f65f4e36..653c4cc0 100644 --- a/modules/sd_models.py +++ b/modules/sd_models.py @@ -590,7 +590,6 @@ def unload_model_weights(sd_model=None, info=None): sd_model = None
gc.collect()
devices.torch_gc()
- torch.cuda.empty_cache()
print(f"Unloaded weights {timer.summary()}.")
|