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import gc |
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import unittest |
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import torch |
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from diffusers import StableDiffusionXLInstructPix2PixPipeline |
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from diffusers.utils.testing_utils import ( |
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backend_empty_cache, |
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enable_full_determinism, |
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require_torch_accelerator, |
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slow, |
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torch_device, |
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) |
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enable_full_determinism() |
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@slow |
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@require_torch_accelerator |
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class StableDiffusionXLInstructPix2PixPipeline(unittest.TestCase): |
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pipeline_class = StableDiffusionXLInstructPix2PixPipeline |
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ckpt_path = "https://huggingface.co/stabilityai/cosxl/blob/main/cosxl_edit.safetensors" |
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original_config = None |
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repo_id = "diffusers/sdxl-instructpix2pix-768" |
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def setUp(self): |
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super().setUp() |
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gc.collect() |
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backend_empty_cache(torch_device) |
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def tearDown(self): |
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super().tearDown() |
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gc.collect() |
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backend_empty_cache(torch_device) |
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def get_inputs(self, device, generator_device="cpu", dtype=torch.float32, seed=0): |
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generator = torch.Generator(device=generator_device).manual_seed(seed) |
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inputs = { |
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"prompt": "a fantasy landscape, concept art, high resolution", |
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"generator": generator, |
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"num_inference_steps": 2, |
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"strength": 0.75, |
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"guidance_scale": 7.5, |
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"output_type": "np", |
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} |
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return inputs |
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def test_single_file_setting_cosxl_edit(self): |
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pipe = self.pipeline_class.from_single_file(self.ckpt_path, config=self.repo_id, is_cosxl_edit=True) |
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assert pipe.is_cosxl_edit is True |
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