wangbo/ComfyUI
1
0
Fork 0
mirror of https://github.com/comfyanonymous/ComfyUI.git synced 2026-01-11 14:50:49 +08:00
Code Issues Actions 11 Packages Projects Releases Wiki Activity

Avoid RAM OOM when unloading to CPU

Browse Source
This commit is contained in:
ifilipis 2026-01-09 00:55:13 +02:00
parent 97189bf6bb
commit c13ec6ac00
2 changed files with 15 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

1
comfy/model_management.py
View File

@ -590,6 +590,7 @@ def minimum_inference_memory():
def free_memory(memory_required, device, keep_loaded=[]):
cleanup_models_gc()
if is_device_cpu(device) and comfy.disk_weights.disk_weights_enabled():
logging.info("RAM pressure: requested %.2f MB, free %.2f MB", memory_required / (1024 * 1024), get_free_memory(device) / (1024 * 1024))
freed_cache = comfy.disk_weights.evict_ram_cache(memory_required)
if freed_cache < memory_required:
evict_ram_to_disk(memory_required - freed_cache)

17
comfy/model_patcher.py
View File

@ -884,6 +884,9 @@ class ModelPatcher:
if len(unload_list) > 0:
NS = comfy.model_management.NUM_STREAMS
offload_weight_factor = [ min(offload_buffer / (NS + 1), unload_list[0][1]) ] * NS
remaining_ram = None
if device_to is not None and comfy.model_management.is_device_cpu(device_to):
remaining_ram = comfy.model_management.get_free_memory(device_to)
for unload in unload_list:
if memory_to_free + offload_buffer - self.model.model_offload_buffer_memory < memory_freed:
@ -923,10 +926,18 @@ class ModelPatcher:
if freed_bytes == 0:
freed_bytes = module_mem
else:
if comfy.disk_weights.disk_weights_enabled():
comfy.disk_weights.move_module_tensors(m, device_to)
if remaining_ram is not None and remaining_ram < module_mem and comfy.disk_weights.disk_weights_enabled():
logging.info("Insufficient CPU RAM for %s (need %.2f MB, free %.2f MB); offloading to disk.", n, module_mem / (1024 * 1024), remaining_ram / (1024 * 1024))
freed_bytes = comfy.disk_weights.offload_module_weights(m)
if freed_bytes == 0:
freed_bytes = module_mem
else:
m.to(device_to)
if comfy.disk_weights.disk_weights_enabled():
comfy.disk_weights.move_module_tensors(m, device_to)
else:
m.to(device_to)
if remaining_ram is not None:
remaining_ram = max(0, remaining_ram - module_mem)
module_mem += move_weight_functions(m, device_to)
if lowvram_possible:
if weight_key in self.patches: