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[lora training] add caption dropout and aspect ratio buckets to krea2 and qwen-image #14089

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[lora training] add caption dropout and aspect ratio buckets to krea2 and qwen-image #14089

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[lora training] add caption dropout and aspect ratio buckets to krea2…
linoytsaban Jul 10, 2026
bda82f1
Merge branch 'main' into lora-caption-dropout-ar-buckets
linoytsaban Jul 10, 2026
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48 changes: 48 additions & 0 deletions examples/dreambooth/test_dreambooth_lora_qwenimage.py
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Original file line number Diff line number Diff line change
Expand Up @@ -246,3 +246,51 @@ def test_dreambooth_lora_with_metadata(self):
self.assertTrue(loaded_lora_alpha == lora_alpha)
loaded_lora_rank = raw["transformer.r"]
self.assertTrue(loaded_lora_rank == rank)

def test_dreambooth_lora_qwen_aspect_ratio_buckets(self):
with tempfile.TemporaryDirectory() as tmpdir:
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}
--aspect_ratio_buckets 64,64;64,128
--bucket_no_upscale
--cache_latents
--train_batch_size 1
--gradient_accumulation_steps 1
--max_train_steps 2
--learning_rate 5.0e-04
--lr_scheduler constant
--lr_warmup_steps 0
--output_dir {tmpdir}
""".split()

run_command(self._launch_args + test_args)
self.assertTrue(os.path.isfile(os.path.join(tmpdir, "pytorch_lora_weights.safetensors")))
lora_state_dict = safetensors.torch.load_file(os.path.join(tmpdir, "pytorch_lora_weights.safetensors"))
self.assertTrue(all("lora" in k for k in lora_state_dict.keys()))
self.assertTrue(all(key.startswith("transformer") for key in lora_state_dict.keys()))

def test_dreambooth_lora_qwen_caption_dropout(self):
with tempfile.TemporaryDirectory() as tmpdir:
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}
--resolution 64
--caption_dropout 1.0
--train_batch_size 1
--gradient_accumulation_steps 1
--max_train_steps 2
--learning_rate 5.0e-04
--lr_scheduler constant
--lr_warmup_steps 0
--output_dir {tmpdir}
""".split()

run_command(self._launch_args + test_args)
self.assertTrue(os.path.isfile(os.path.join(tmpdir, "pytorch_lora_weights.safetensors")))
lora_state_dict = safetensors.torch.load_file(os.path.join(tmpdir, "pytorch_lora_weights.safetensors"))
self.assertTrue(all("lora" in k for k in lora_state_dict.keys()))
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