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import gc
import unittest
import torch
from diffusers import StableDiffusionXLInstructPix2PixPipeline
from diffusers.utils.testing_utils import (
backend_empty_cache,
enable_full_determinism,
require_torch_accelerator,
slow,
torch_device,
)
enable_full_determinism()
@slow
@require_torch_accelerator
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()
backend_empty_cache(torch_device)
def tearDown(self):
super().tearDown()
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):
# Default is PNDM for this checkpoint
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
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