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