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

Jump to bottom

Rename --only_save_embeds to --save_as_full_pipeline #3206

Merged
merged 2 commits into from
May 6, 2023
Merged

Rename --only_save_embeds to --save_as_full_pipeline #3206

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
b1a9bfa
Set --only_save_embeds to False by default
arrufat Apr 24, 2023
a25304f
Refactor only_save_embeds to save_as_full_pipeline
arrufat May 2, 2023
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
9 changes: 4 additions & 5 deletions examples/textual_inversion/textual_inversion.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -176,10 +176,9 @@ def parse_args():
help="Save learned_embeds.bin every X updates steps.",
)
parser.add_argument(
"--only_save_embeds",
"--save_as_full_pipeline",
action="store_true",
default=True,
help="Save only the embeddings for the new concept.",
help="Save the complete stable diffusion pipeline.",
)
parser.add_argument(
"--num_vectors",
Expand Down Expand Up @@ -900,11 +899,11 @@ def main():
# Create the pipeline using the trained modules and save it.
accelerator.wait_for_everyone()
if accelerator.is_main_process:
if args.push_to_hub and args.only_save_embeds:
if args.push_to_hub and not args.save_as_full_pipeline:
logger.warn("Enabling full model saving because --push_to_hub=True was specified.")
save_full_model = True
else:
save_full_model = not args.only_save_embeds
save_full_model = args.save_as_full_pipeline
if save_full_model:
pipeline = StableDiffusionPipeline.from_pretrained(
args.pretrained_model_name_or_path,
Expand Down