| | import gc |
| |
|
| | import torch |
| |
|
| | from diffusers import StableDiffusionXLInstructPix2PixPipeline |
| |
|
| | from ..testing_utils import ( |
| | backend_empty_cache, |
| | enable_full_determinism, |
| | require_torch_accelerator, |
| | slow, |
| | torch_device, |
| | ) |
| |
|
| |
|
| | enable_full_determinism() |
| |
|
| |
|
| | @slow |
| | @require_torch_accelerator |
| | class StableDiffusionXLInstructPix2PixPipeline: |
| | 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_method(self): |
| | gc.collect() |
| | backend_empty_cache(torch_device) |
| |
|
| | def teardown_method(self): |
| | gc.collect() |
| | backend_empty_cache(torch_device) |
| |
|
| | 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 |
| |
|
