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fix: lora peft dummy components #6308

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Merged
merged 2 commits into from
Dec 25, 2023
Merged

fix: lora peft dummy components #6308

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bb0ac6d
fix: lora peft dummy components
sayakpaul Dec 24, 2023
d40bea4
fix: dummy components
sayakpaul Dec 24, 2023
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68 changes: 68 additions & 0 deletions tests/lora/test_lora_layers_peft.py
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Original file line number Diff line number Diff line change
Expand Up @@ -115,9 +115,12 @@ def get_dummy_components(self, scheduler_cls=None):

torch.manual_seed(0)
unet = UNet2DConditionModel(**self.unet_kwargs)

scheduler = scheduler_cls(**self.scheduler_kwargs)

torch.manual_seed(0)
vae = AutoencoderKL(**self.vae_kwargs)

text_encoder = CLIPTextModel.from_pretrained("peft-internal-testing/tiny-clip-text-2")
tokenizer = CLIPTokenizer.from_pretrained("peft-internal-testing/tiny-clip-text-2")

Expand Down Expand Up @@ -1402,6 +1405,35 @@ class StableDiffusionXLLoRATests(PeftLoraLoaderMixinTests, unittest.TestCase):
@slow
@require_torch_gpu
class LoraIntegrationTests(PeftLoraLoaderMixinTests, unittest.TestCase):
pipeline_class = StableDiffusionPipeline
scheduler_cls = DDIMScheduler
scheduler_kwargs = {
"beta_start": 0.00085,
"beta_end": 0.012,
"beta_schedule": "scaled_linear",
"clip_sample": False,
"set_alpha_to_one": False,
"steps_offset": 1,
}
unet_kwargs = {
"block_out_channels": (32, 64),
"layers_per_block": 2,
"sample_size": 32,
"in_channels": 4,
"out_channels": 4,
"down_block_types": ("DownBlock2D", "CrossAttnDownBlock2D"),
"up_block_types": ("CrossAttnUpBlock2D", "UpBlock2D"),
"cross_attention_dim": 32,
}
vae_kwargs = {
"block_out_channels": [32, 64],
"in_channels": 3,
"out_channels": 3,
"down_block_types": ["DownEncoderBlock2D", "DownEncoderBlock2D"],
"up_block_types": ["UpDecoderBlock2D", "UpDecoderBlock2D"],
"latent_channels": 4,
}

def tearDown(self):
import gc

Expand Down Expand Up @@ -1655,6 +1687,42 @@ def test_load_unload_load_kohya_lora(self):
@slow
@require_torch_gpu
class LoraSDXLIntegrationTests(PeftLoraLoaderMixinTests, unittest.TestCase):
has_two_text_encoders = True
pipeline_class = StableDiffusionXLPipeline
scheduler_cls = EulerDiscreteScheduler
scheduler_kwargs = {
"beta_start": 0.00085,
"beta_end": 0.012,
"beta_schedule": "scaled_linear",
"timestep_spacing": "leading",
"steps_offset": 1,
}
unet_kwargs = {
"block_out_channels": (32, 64),
"layers_per_block": 2,
"sample_size": 32,
"in_channels": 4,
"out_channels": 4,
"down_block_types": ("DownBlock2D", "CrossAttnDownBlock2D"),
"up_block_types": ("CrossAttnUpBlock2D", "UpBlock2D"),
"attention_head_dim": (2, 4),
"use_linear_projection": True,
"addition_embed_type": "text_time",
"addition_time_embed_dim": 8,
"transformer_layers_per_block": (1, 2),
"projection_class_embeddings_input_dim": 80, # 6 * 8 + 32
"cross_attention_dim": 64,
}
vae_kwargs = {
"block_out_channels": [32, 64],
"in_channels": 3,
"out_channels": 3,
"down_block_types": ["DownEncoderBlock2D", "DownEncoderBlock2D"],
"up_block_types": ["UpDecoderBlock2D", "UpDecoderBlock2D"],
"latent_channels": 4,
"sample_size": 128,
}

def tearDown(self):
import gc

Expand Down