Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[Fix] Add method to prepare extra step kwargs for scheduler in xFuserCogVideoXPipeline #426

Merged
merged 1 commit into from
Jan 11, 2025
Merged

[Fix] Add method to prepare extra step kwargs for scheduler in xFuserCogVideoXPipeline #426

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
19 changes: 19 additions & 0 deletions xfuser/model_executor/pipelines/pipeline_cogvideox.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,7 @@

import torch
import torch.distributed
import inspect
from diffusers import CogVideoXPipeline
from diffusers.pipelines.cogvideo.pipeline_cogvideox import (
CogVideoXPipelineOutput,
Expand Down Expand Up @@ -404,6 +405,24 @@ def _init_sync_pipeline(
)
return latents, prompt_embeds, image_rotary_emb


def prepare_extra_step_kwargs(self, generator, eta):
# prepare extra kwargs for the scheduler step, since not all schedulers have the same signature
# eta (η) is only used with the DDIMScheduler, it will be ignored for other schedulers.
# eta corresponds to η in DDIM paper: https://arxiv.org/abs/2010.02502
# and should be between [0, 1]

accepts_eta = "eta" in set(inspect.signature(self.scheduler.module.step).parameters.keys())
extra_step_kwargs = {}
if accepts_eta:
extra_step_kwargs["eta"] = eta

# check if the scheduler accepts generator
accepts_generator = "generator" in set(inspect.signature(self.scheduler.module.step).parameters.keys())
if accepts_generator:
extra_step_kwargs["generator"] = generator
return extra_step_kwargs

@property
def interrupt(self):
return self._interrupt
Expand Down
Loading