Enable async offloading by default on Nvidia. #10953
Merged
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Add --disable-async-offload to disable it. If this causes OOMs that go away when you --disable-async-offload please report it.
|
Hm… what does async offload actually do? Is it something like a VRAM saving option? I just updated to the latest commit, and what I noticed is that my usual text2image workflow, which combines SDXL and wan 2.2 low noise, now takes almost twice as long on the first run. In sequential runs, it slightly slower compared to having it disabled. |
rattus128
added a commit
to rattus128/ComfyUI
that referenced
this pull request
Nov 29, 2025
According to git grep, this is not used now, and was not used in the initial commit that introduced it (see below). This semantic is difficult to implement temporal roll VAE for (and would defeat the purpose). Rather than implement the complex if, just delete the unused feature. (venv) rattus@rattus-box2:~/ComfyUI$ git log --oneline 220afe3 (HEAD) Initial commit. (venv) rattus@rattus-box2:~/ComfyUI$ git grep give_pre comfy/ldm/modules/diffusionmodules/model.py: resolution, z_channels, give_pre_end=False, tanh_out=False, use_linear_attn=False, comfy/ldm/modules/diffusionmodules/model.py: self.give_pre_end = give_pre_end comfy/ldm/modules/diffusionmodules/model.py: if self.give_pre_end: (venv) rattus@rattus-box2:~/ComfyUI$ git co origin/master Previous HEAD position was 220afe3 Initial commit. HEAD is now at 9d8a817 Enable async offloading by default on Nvidia. (comfyanonymous#10953) (venv) rattus@rattus-box2:~/ComfyUI$ git grep give_pre comfy/ldm/modules/diffusionmodules/model.py: resolution, z_channels, give_pre_end=False, tanh_out=False, use_linear_attn=False, comfy/ldm/modules/diffusionmodules/model.py: self.give_pre_end = give_pre_end comfy/ldm/modules/diffusionmodules/model.py: if self.give_pre_end:
comfyanonymous
pushed a commit
that referenced
this pull request
Dec 3, 2025
…Kandinsky) (#10995) * hunyuan upsampler: rework imports Remove the transitive import of VideoConv3d and Resnet and takes these from actual implementation source. * model: remove unused give_pre_end According to git grep, this is not used now, and was not used in the initial commit that introduced it (see below). This semantic is difficult to implement temporal roll VAE for (and would defeat the purpose). Rather than implement the complex if, just delete the unused feature. (venv) rattus@rattus-box2:~/ComfyUI$ git log --oneline 220afe3 (HEAD) Initial commit. (venv) rattus@rattus-box2:~/ComfyUI$ git grep give_pre comfy/ldm/modules/diffusionmodules/model.py: resolution, z_channels, give_pre_end=False, tanh_out=False, use_linear_attn=False, comfy/ldm/modules/diffusionmodules/model.py: self.give_pre_end = give_pre_end comfy/ldm/modules/diffusionmodules/model.py: if self.give_pre_end: (venv) rattus@rattus-box2:~/ComfyUI$ git co origin/master Previous HEAD position was 220afe3 Initial commit. HEAD is now at 9d8a817 Enable async offloading by default on Nvidia. (#10953) (venv) rattus@rattus-box2:~/ComfyUI$ git grep give_pre comfy/ldm/modules/diffusionmodules/model.py: resolution, z_channels, give_pre_end=False, tanh_out=False, use_linear_attn=False, comfy/ldm/modules/diffusionmodules/model.py: self.give_pre_end = give_pre_end comfy/ldm/modules/diffusionmodules/model.py: if self.give_pre_end: * move refiner VAE temporal roller to core Move the carrying conv op to the common VAE code and give it a better name. Roll the carry implementation logic for Resnet into the base class and scrap the Hunyuan specific subclass. * model: Add temporal roll to main VAE decoder If there are no attention layers, its a standard resnet and VideoConv3d is asked for, substitute in the temporal rolloing VAE algorithm. This reduces VAE usage by the temporal dimension (can be huge VRAM savings). * model: Add temporal roll to main VAE encoder If there are no attention layers, its a standard resnet and VideoConv3d is asked for, substitute in the temporal rolling VAE algorithm. This reduces VAE usage by the temporal dimension (can be huge VRAM savings).
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Add --disable-async-offload to disable it.
If this causes OOMs that go away when you --disable-async-offload please report it.