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

【NOMERGE】Profile load graph time #619

Closed
wants to merge 9 commits into from
Closed

【NOMERGE】Profile load graph time #619

Changes from 1 commit
Commits
Show all changes
9 commits
Select commit Hold shift + click to select a range
ae31423
remove custom scheduler to refine quality
doombeaker Feb 2, 2024
d4f49ef
wired time consuming
doombeaker Feb 4, 2024
5c6eb64
using origin file
doombeaker Feb 4, 2024
54ae7e4
Fix duplicate compilation
ccssu Feb 5, 2024
13bc5fe
Merge branch 'fix_repetitive_compilation' of github.com:siliconflow/o…
doombeaker Feb 5, 2024
9f88c65
Merge branch 'main' into profile_load_graph_time
doombeaker Feb 5, 2024
4d3ba03
init dev warmupmodule
doombeaker Feb 7, 2024
4e7cd9b
for debug update
doombeaker Feb 7, 2024
7061345
profiling
doombeaker Feb 18, 2024
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
Next Next commit
remove custom scheduler to refine quality
  • Loading branch information
@doombeaker
doombeaker committed Feb 2, 2024
commit ae3142349db8ec0b807473190dec94dbbc4b32ef
3 changes: 0 additions & 3 deletions examples/text_to_image_sdxl_turbo.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,6 @@
import torch

from onediff.infer_compiler import oneflow_compile
from onediff.schedulers import EulerDiscreteScheduler
from diffusers import AutoPipelineForText2Image

parser = argparse.ArgumentParser()
Expand Down Expand Up @@ -38,10 +37,8 @@
OUTPUT_TYPE = "pil"

# SDXL turbo base: AutoPipelineForText2Image
scheduler = EulerDiscreteScheduler.from_pretrained(args.base, subfolder="scheduler")
base = AutoPipelineForText2Image.from_pretrained(
args.base,
scheduler=scheduler,
torch_dtype=torch.float16,
variant=args.variant,
use_safetensors=True,
Expand Down
Loading