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 the issue on sd3 dreambooth w./w.t. lora training #9419

Merged
merged 9 commits into from
Sep 14, 2024
Merged

Fix the issue on sd3 dreambooth w./w.t. lora training #9419

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
9 commits
Select commit Hold shift + click to select a range
ea3b2d1
Fix dtype error
Aug 19, 2024
3b5bf98
Merge branch 'main' into main
sayakpaul Aug 20, 2024
767c834
Merge branch 'huggingface:main' into main
leisuzz Sep 12, 2024
449aded
[bugfix] Fixed the issue on sd3 dreambooth training
Sep 12, 2024
3142d26
Merge branch 'main' into main
leisuzz Sep 12, 2024
5d6f5a9
[bugfix] Fixed the issue on sd3 dreambooth training
Sep 12, 2024
f7b7396
Merge branch 'main' into main
leisuzz Sep 12, 2024
b3c2060
Merge branch 'main' into main
leisuzz Sep 13, 2024
f2d29e3
Merge branch 'main' into main
leisuzz Sep 14, 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
5 changes: 4 additions & 1 deletion examples/dreambooth/train_dreambooth_flux.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -154,13 +154,14 @@ def log_validation(
accelerator,
pipeline_args,
epoch,
torch_dtype,
is_final_validation=False,
):
logger.info(
f"Running validation... \n Generating {args.num_validation_images} images with prompt:"
f" {args.validation_prompt}."
)
pipeline = pipeline.to(accelerator.device)
pipeline = pipeline.to(accelerator.device, dtype=torch_dtype)
pipeline.set_progress_bar_config(disable=True)

# run inference
Expand Down Expand Up @@ -1717,6 +1718,7 @@ def get_sigmas(timesteps, n_dim=4, dtype=torch.float32):
accelerator=accelerator,
pipeline_args=pipeline_args,
epoch=epoch,
torch_dtype=weight_dtype,
)
if not args.train_text_encoder:
del text_encoder_one, text_encoder_two
Expand Down Expand Up @@ -1761,6 +1763,7 @@ def get_sigmas(timesteps, n_dim=4, dtype=torch.float32):
pipeline_args=pipeline_args,
epoch=epoch,
is_final_validation=True,
torch_dtype=weight_dtype,
)

if args.push_to_hub:
Expand Down
5 changes: 4 additions & 1 deletion examples/dreambooth/train_dreambooth_lora.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -122,6 +122,7 @@ def log_validation(
accelerator,
pipeline_args,
epoch,
torch_dtype,
is_final_validation=False,
):
logger.info(
Expand All @@ -141,7 +142,7 @@ def log_validation(

pipeline.scheduler = DPMSolverMultistepScheduler.from_config(pipeline.scheduler.config, **scheduler_args)

pipeline = pipeline.to(accelerator.device)
pipeline = pipeline.to(accelerator.device, dtype=torch_dtype)
pipeline.set_progress_bar_config(disable=True)

# run inference
Expand Down Expand Up @@ -1360,6 +1361,7 @@ def compute_text_embeddings(prompt):
accelerator,
pipeline_args,
epoch,
torch_dtype=weight_dtype,
)

# Save the lora layers
Expand Down Expand Up @@ -1402,6 +1404,7 @@ def compute_text_embeddings(prompt):
pipeline_args,
epoch,
is_final_validation=True,
torch_dtype=weight_dtype,
)

if args.push_to_hub:
Expand Down
5 changes: 4 additions & 1 deletion examples/dreambooth/train_dreambooth_lora_flux.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -170,13 +170,14 @@ def log_validation(
accelerator,
pipeline_args,
epoch,
torch_dtype,
is_final_validation=False,
):
logger.info(
f"Running validation... \n Generating {args.num_validation_images} images with prompt:"
f" {args.validation_prompt}."
)
pipeline = pipeline.to(accelerator.device)
pipeline = pipeline.to(accelerator.device, dtype=torch_dtype)
pipeline.set_progress_bar_config(disable=True)

# run inference
Expand Down Expand Up @@ -1785,6 +1786,7 @@ def get_sigmas(timesteps, n_dim=4, dtype=torch.float32):
accelerator=accelerator,
pipeline_args=pipeline_args,
epoch=epoch,
torch_dtype=weight_dtype,
)
if not args.train_text_encoder:
del text_encoder_one, text_encoder_two
Expand Down Expand Up @@ -1832,6 +1834,7 @@ def get_sigmas(timesteps, n_dim=4, dtype=torch.float32):
pipeline_args=pipeline_args,
epoch=epoch,
is_final_validation=True,
torch_dtype=weight_dtype,
)

if args.push_to_hub:
Expand Down
5 changes: 4 additions & 1 deletion examples/dreambooth/train_dreambooth_lora_sd3.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -179,13 +179,14 @@ def log_validation(
accelerator,
pipeline_args,
epoch,
torch_dtype,
is_final_validation=False,
):
logger.info(
f"Running validation... \n Generating {args.num_validation_images} images with prompt:"
f" {args.validation_prompt}."
)
pipeline = pipeline.to(accelerator.device)
pipeline = pipeline.to(accelerator.device, dtype=torch_dtype)
pipeline.set_progress_bar_config(disable=True)

# run inference
Expand Down Expand Up @@ -1788,6 +1789,7 @@ def get_sigmas(timesteps, n_dim=4, dtype=torch.float32):
accelerator=accelerator,
pipeline_args=pipeline_args,
epoch=epoch,
torch_dtype=weight_dtype,
)
objs = []
if not args.train_text_encoder:
Expand Down Expand Up @@ -1840,6 +1842,7 @@ def get_sigmas(timesteps, n_dim=4, dtype=torch.float32):
pipeline_args=pipeline_args,
epoch=epoch,
is_final_validation=True,
torch_dtype=weight_dtype,
)

if args.push_to_hub:
Expand Down
5 changes: 4 additions & 1 deletion examples/dreambooth/train_dreambooth_lora_sdxl.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -180,6 +180,7 @@ def log_validation(
accelerator,
pipeline_args,
epoch,
torch_dtype,
is_final_validation=False,
):
logger.info(
Expand All @@ -201,7 +202,7 @@ def log_validation(

pipeline.scheduler = DPMSolverMultistepScheduler.from_config(pipeline.scheduler.config, **scheduler_args)

pipeline = pipeline.to(accelerator.device)
pipeline = pipeline.to(accelerator.device, dtype=torch_dtype)
pipeline.set_progress_bar_config(disable=True)

# run inference
Expand Down Expand Up @@ -1890,6 +1891,7 @@ def get_sigmas(timesteps, n_dim=4, dtype=torch.float32):
accelerator,
pipeline_args,
epoch,
torch_dtype=weight_dtype,
)

# Save the lora layers
Expand Down Expand Up @@ -1955,6 +1957,7 @@ def get_sigmas(timesteps, n_dim=4, dtype=torch.float32):
pipeline_args,
epoch,
is_final_validation=True,
torch_dtype=weight_dtype,
)

if args.push_to_hub:
Expand Down
5 changes: 4 additions & 1 deletion examples/dreambooth/train_dreambooth_sd3.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -157,13 +157,14 @@ def log_validation(
accelerator,
pipeline_args,
epoch,
torch_dtype,
is_final_validation=False,
):
logger.info(
f"Running validation... \n Generating {args.num_validation_images} images with prompt:"
f" {args.validation_prompt}."
)
pipeline = pipeline.to(accelerator.device)
pipeline = pipeline.to(accelerator.device, dtype=torch_dtype)
pipeline.set_progress_bar_config(disable=True)

# run inference
Expand Down Expand Up @@ -1725,6 +1726,7 @@ def get_sigmas(timesteps, n_dim=4, dtype=torch.float32):
accelerator=accelerator,
pipeline_args=pipeline_args,
epoch=epoch,
torch_dtype=weight_dtype,
)
if not args.train_text_encoder:
del text_encoder_one, text_encoder_two, text_encoder_three
Expand Down Expand Up @@ -1775,6 +1777,7 @@ def get_sigmas(timesteps, n_dim=4, dtype=torch.float32):
pipeline_args=pipeline_args,
epoch=epoch,
is_final_validation=True,
torch_dtype=weight_dtype,
)

if args.push_to_hub:
Expand Down
Loading