Merge pull request #3874 from Disty0/dev

[HiDream] Offload the TE right away with balanced offload
This commit is contained in:
Vladimir Mandic
2025-04-15 08:05:52 -04:00
committed by GitHub
+23
View File
@@ -175,6 +175,28 @@ class OffloadHook(accelerate.hooks.ModelHook):
return args, kwargs
def post_forward(self, module, output):
if getattr(module, "do_offload", False) and shared.opts.te_hijack and module.device != devices.cpu:
used_gpu, used_ram = devices.torch_gc(fast=True)
perc_gpu = used_gpu / shared.gpu_memory
try:
module_size = self.model_size()
prev_gpu = used_gpu
do_offload = (perc_gpu > shared.opts.diffusers_offload_min_gpu_memory)
if do_offload:
module = module.to(devices.cpu)
used_gpu -= module_size
cls = module.__class__.__name__
quant = getattr(module, "quantization_method", None)
debug_move(f'Offload: type=balanced op={"move post forward" if do_offload else "skip post forward"} gpu={prev_gpu:.3f}:{used_gpu:.3f} perc={perc_gpu:.2f} ram={used_ram:.3f} current={module.device} dtype={module.dtype} quant={quant} module={cls} size={module_size:.3f}')
except Exception as e:
if 'out of memory' in str(e):
devices.torch_gc(fast=True, force=True, reason='oom')
elif 'bitsandbytes' in str(e):
pass
else:
shared.log.error(f'Offload: type=balanced op=apply module={module.__name__} {e}')
if os.environ.get('SD_MOVE_DEBUG', None):
errors.display(e, f'Offload: type=balanced op=apply module={module.__name__}')
return output
def detach_hook(self, module):
@@ -273,6 +295,7 @@ def apply_balanced_offload(sd_model=None, exclude=[]):
if device_map and max_memory:
module.balanced_offload_device_map = device_map
module.balanced_offload_max_memory = max_memory
module.do_offload = bool("HiDreamImage" in sd_model.__class__.__name__ and module_name.startswith("text_encoder"))
devices.torch_gc(fast=True, force=True, reason='offload')
apply_balanced_offload_to_module(sd_model)