update

Author: DN6

tests/lora/test_lora_layers_flux.py

@@ -20,7 +20,6 @@
 import unittest
 
 import numpy as np
-import pytest
 import safetensors.torch
 import torch
 from parameterized import parameterized
@@ -813,7 +812,6 @@ def test_simple_inference_with_text_denoiser_multi_adapter_block_lora(self):
 @require_torch_accelerator
 @require_peft_backend
 @require_big_accelerator
-@pytest.mark.big_accelerator
 class FluxLoRAIntegrationTests(unittest.TestCase):
     """internal note: The integration slices were obtained on audace.
 
@@ -960,7 +958,6 @@ def test_flux_xlabs_load_lora_with_single_blocks(self):
 @require_torch_accelerator
 @require_peft_backend
 @require_big_accelerator
-@pytest.mark.big_accelerator
 class FluxControlLoRAIntegrationTests(unittest.TestCase):
     num_inference_steps = 10
     seed = 0

tests/lora/test_lora_layers_hunyuanvideo.py

@@ -17,7 +17,6 @@
 import unittest
 
 import numpy as np
-import pytest
 import torch
 from transformers import CLIPTextModel, CLIPTokenizer, LlamaModel, LlamaTokenizerFast
 
@@ -198,7 +197,6 @@ def test_simple_inference_with_text_lora_save_load(self):
 @require_torch_accelerator
 @require_peft_backend
 @require_big_accelerator
-@pytest.mark.big_accelerator
 class HunyuanVideoLoRAIntegrationTests(unittest.TestCase):
     """internal note: The integration slices were obtained on DGX.
 

tests/lora/test_lora_layers_sd3.py

@@ -17,7 +17,6 @@
 import unittest
 
 import numpy as np
-import pytest
 import torch
 from transformers import AutoTokenizer, CLIPTextModelWithProjection, CLIPTokenizer, T5EncoderModel
 
@@ -139,7 +138,6 @@ def test_multiple_wrong_adapter_name_raises_error(self):
 @require_torch_accelerator
 @require_peft_backend
 @require_big_accelerator
-@pytest.mark.big_accelerator
 class SD3LoraIntegrationTests(unittest.TestCase):
     pipeline_class = StableDiffusion3Img2ImgPipeline
     repo_id = "stabilityai/stable-diffusion-3-medium-diffusers"

tests/pipelines/controlnet_flux/test_controlnet_flux.py

@@ -17,7 +17,6 @@
 import unittest
 
 import numpy as np
-import pytest
 import torch
 from huggingface_hub import hf_hub_download
 from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer, T5EncoderModel, T5TokenizerFast
@@ -211,7 +210,6 @@ def test_flux_image_output_shape(self):
 
 @nightly
 @require_big_accelerator
-@pytest.mark.big_accelerator
 class FluxControlNetPipelineSlowTests(unittest.TestCase):
     pipeline_class = FluxControlNetPipeline
 

tests/pipelines/controlnet_sd3/test_controlnet_sd3.py

@@ -18,7 +18,6 @@
 from typing import Optional
 
 import numpy as np
-import pytest
 import torch
 from transformers import AutoTokenizer, CLIPTextConfig, CLIPTextModelWithProjection, CLIPTokenizer, T5EncoderModel
 
@@ -221,7 +220,6 @@ def test_xformers_attention_forwardGenerator_pass(self):
 
 @slow
 @require_big_accelerator
-@pytest.mark.big_accelerator
 class StableDiffusion3ControlNetPipelineSlowTests(unittest.TestCase):
     pipeline_class = StableDiffusion3ControlNetPipeline
 

tests/pipelines/flux/test_pipeline_flux.py

@@ -2,7 +2,6 @@
 import unittest
 
 import numpy as np
-import pytest
 import torch
 from huggingface_hub import hf_hub_download
 from transformers import AutoTokenizer, CLIPTextConfig, CLIPTextModel, CLIPTokenizer, T5EncoderModel
@@ -224,7 +223,6 @@ def test_flux_true_cfg(self):
 
 @nightly
 @require_big_accelerator
-@pytest.mark.big_accelerator
 class FluxPipelineSlowTests(unittest.TestCase):
     pipeline_class = FluxPipeline
     repo_id = "black-forest-labs/FLUX.1-schnell"
@@ -312,7 +310,6 @@ def test_flux_inference(self):
 
 @slow
 @require_big_accelerator
-@pytest.mark.big_accelerator
 class FluxIPAdapterPipelineSlowTests(unittest.TestCase):
     pipeline_class = FluxPipeline
     repo_id = "black-forest-labs/FLUX.1-dev"

tests/pipelines/flux/test_pipeline_flux_redux.py

@@ -2,7 +2,6 @@
 import unittest
 
 import numpy as np
-import pytest
 import torch
 
 from diffusers import FluxPipeline, FluxPriorReduxPipeline
@@ -19,7 +18,6 @@
 
 @slow
 @require_big_accelerator
-@pytest.mark.big_accelerator
 class FluxReduxSlowTests(unittest.TestCase):
     pipeline_class = FluxPriorReduxPipeline
     repo_id = "black-forest-labs/FLUX.1-Redux-dev"

tests/pipelines/mochi/test_mochi.py

@@ -17,7 +17,6 @@
 import unittest
 
 import numpy as np
-import pytest
 import torch
 from transformers import AutoTokenizer, T5EncoderModel
 
@@ -268,7 +267,6 @@ def test_vae_tiling(self, expected_diff_max: float = 0.2):
 @nightly
 @require_torch_accelerator
 @require_big_accelerator
-@pytest.mark.big_accelerator
 class MochiPipelineIntegrationTests(unittest.TestCase):
     prompt = "A painting of a squirrel eating a burger."
 

tests/pipelines/stable_diffusion_3/test_pipeline_stable_diffusion_3.py

@@ -2,7 +2,6 @@
 import unittest
 
 import numpy as np
-import pytest
 import torch
 from transformers import AutoTokenizer, CLIPTextConfig, CLIPTextModelWithProjection, CLIPTokenizer, T5EncoderModel
 
@@ -233,7 +232,6 @@ def test_skip_guidance_layers(self):
 
 @slow
 @require_big_accelerator
-@pytest.mark.big_accelerator
 class StableDiffusion3PipelineSlowTests(unittest.TestCase):
     pipeline_class = StableDiffusion3Pipeline
     repo_id = "stabilityai/stable-diffusion-3-medium-diffusers"

tests/pipelines/stable_diffusion_3/test_pipeline_stable_diffusion_3_img2img.py

@@ -3,7 +3,6 @@
 import unittest
 
 import numpy as np
-import pytest
 import torch
 from transformers import AutoTokenizer, CLIPTextConfig, CLIPTextModelWithProjection, CLIPTokenizer, T5EncoderModel
 
@@ -168,7 +167,6 @@ def test_multi_vae(self):
 
 @slow
 @require_big_accelerator
-@pytest.mark.big_accelerator
 class StableDiffusion3Img2ImgPipelineSlowTests(unittest.TestCase):
     pipeline_class = StableDiffusion3Img2ImgPipeline
     repo_id = "stabilityai/stable-diffusion-3-medium-diffusers"