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Add Flux2 DreamBooth prior preservation tests #13857

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bc6fae6
Add Flux2 DreamBooth prior preservation tests
azolotenkov Jun 3, 2026
b6636d2
Use isolated class dirs in Flux2 prior tests
azolotenkov Jun 3, 2026
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33 changes: 33 additions & 0 deletions examples/dreambooth/test_dreambooth_lora_flux2.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,6 +16,7 @@
import json
import logging
import os
import shutil
import sys
import tempfile

Expand Down Expand Up @@ -111,6 +112,38 @@ def test_dreambooth_lora_latent_caching(self):
starts_with_transformer = all(key.startswith("transformer") for key in lora_state_dict.keys())
self.assertTrue(starts_with_transformer)

def test_dreambooth_lora_flux2_prior_preservation_batch_size_two(self):
with tempfile.TemporaryDirectory() as tmpdir:
class_data_dir = os.path.join(tmpdir, "class_data")
os.makedirs(class_data_dir)
for image_name in os.listdir(self.instance_data_dir)[:2]:
shutil.copy(os.path.join(self.instance_data_dir, image_name), class_data_dir)

test_args = f"""
{self.script_path}
--pretrained_model_name_or_path {self.pretrained_model_name_or_path}
--instance_data_dir {self.instance_data_dir}
--instance_prompt {self.instance_prompt}
--with_prior_preservation
--class_data_dir {class_data_dir}
--class_prompt dog
--num_class_images 2
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@azolotenkov azolotenkov Jun 3, 2026

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I updated both tests to use a dedicated temporary class_data directory and copy two fixture images into it, so the tests no longer reuse the instance data directory for class images.

--resolution 64
--train_batch_size 2
--gradient_accumulation_steps 1
--max_train_steps 1
--learning_rate 5.0e-04
--scale_lr
--lr_scheduler constant
--lr_warmup_steps 0
--max_sequence_length 8
--text_encoder_out_layers 1
--output_dir {tmpdir}
""".split()
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run_command(self._launch_args + test_args)
self.assertTrue(os.path.isfile(os.path.join(tmpdir, "pytorch_lora_weights.safetensors")))

def test_dreambooth_lora_layers(self):
with tempfile.TemporaryDirectory() as tmpdir:
test_args = f"""
Expand Down
33 changes: 33 additions & 0 deletions examples/dreambooth/test_dreambooth_lora_flux2_klein.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,6 +16,7 @@
import json
import logging
import os
import shutil
import sys
import tempfile

Expand Down Expand Up @@ -111,6 +112,38 @@ def test_dreambooth_lora_latent_caching(self):
starts_with_transformer = all(key.startswith("transformer") for key in lora_state_dict.keys())
self.assertTrue(starts_with_transformer)

def test_dreambooth_lora_flux2_klein_prior_preservation_batch_size_two(self):
with tempfile.TemporaryDirectory() as tmpdir:
class_data_dir = os.path.join(tmpdir, "class_data")
os.makedirs(class_data_dir)
for image_name in os.listdir(self.instance_data_dir)[:2]:
shutil.copy(os.path.join(self.instance_data_dir, image_name), class_data_dir)

test_args = f"""
{self.script_path}
--pretrained_model_name_or_path {self.pretrained_model_name_or_path}
--instance_data_dir {self.instance_data_dir}
--instance_prompt {self.instance_prompt}
--with_prior_preservation
--class_data_dir {class_data_dir}
--class_prompt dog
--num_class_images 2
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--resolution 64
--train_batch_size 2
--gradient_accumulation_steps 1
--max_train_steps 1
--learning_rate 5.0e-04
--scale_lr
--lr_scheduler constant
--lr_warmup_steps 0
--max_sequence_length 8
--text_encoder_out_layers 1
--output_dir {tmpdir}
""".split()

run_command(self._launch_args + test_args)
self.assertTrue(os.path.isfile(os.path.join(tmpdir, "pytorch_lora_weights.safetensors")))

def test_dreambooth_lora_layers(self):
with tempfile.TemporaryDirectory() as tmpdir:
test_args = f"""
Expand Down
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