| import gc |
| import unittest |
|
|
| import torch |
|
|
| from diffusers import ( |
| StableDiffusionImg2ImgPipeline, |
| ) |
| from diffusers.utils import load_image |
| from diffusers.utils.testing_utils import ( |
| enable_full_determinism, |
| require_torch_gpu, |
| slow, |
| ) |
|
|
| from .single_file_testing_utils import SDSingleFileTesterMixin |
|
|
|
|
| enable_full_determinism() |
|
|
|
|
| @slow |
| @require_torch_gpu |
| class StableDiffusionImg2ImgPipelineSingleFileSlowTests(unittest.TestCase, SDSingleFileTesterMixin): |
| pipeline_class = StableDiffusionImg2ImgPipeline |
| ckpt_path = "https://huggingface.co/runwayml/stable-diffusion-v1-5/blob/main/v1-5-pruned-emaonly.safetensors" |
| original_config = ( |
| "https://raw.githubusercontent.com/CompVis/stable-diffusion/main/configs/stable-diffusion/v1-inference.yaml" |
| ) |
| repo_id = "runwayml/stable-diffusion-v1-5" |
|
|
| 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) |
| init_image = load_image( |
| "https://huggingface.co/datasets/diffusers/test-arrays/resolve/main" |
| "/stable_diffusion_img2img/sketch-mountains-input.png" |
| ) |
| inputs = { |
| "prompt": "a fantasy landscape, concept art, high resolution", |
| "image": init_image, |
| "generator": generator, |
| "num_inference_steps": 3, |
| "strength": 0.75, |
| "guidance_scale": 7.5, |
| "output_type": "np", |
| } |
| return inputs |
|
|
| def test_single_file_format_inference_is_same_as_pretrained(self): |
| super().test_single_file_format_inference_is_same_as_pretrained(expected_max_diff=1e-3) |
|
|
|
|
| @slow |
| @require_torch_gpu |
| class StableDiffusion21Img2ImgPipelineSingleFileSlowTests(unittest.TestCase, SDSingleFileTesterMixin): |
| pipeline_class = StableDiffusionImg2ImgPipeline |
| ckpt_path = "https://huggingface.co/stabilityai/stable-diffusion-2-1/blob/main/v2-1_768-ema-pruned.safetensors" |
| original_config = "https://raw.githubusercontent.com/Stability-AI/stablediffusion/main/configs/stable-diffusion/v2-inference-v.yaml" |
| repo_id = "stabilityai/stable-diffusion-2-1" |
|
|
| 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) |
| init_image = load_image( |
| "https://huggingface.co/datasets/diffusers/test-arrays/resolve/main" |
| "/stable_diffusion_img2img/sketch-mountains-input.png" |
| ) |
| inputs = { |
| "prompt": "a fantasy landscape, concept art, high resolution", |
| "image": init_image, |
| "generator": generator, |
| "num_inference_steps": 3, |
| "strength": 0.75, |
| "guidance_scale": 7.5, |
| "output_type": "np", |
| } |
| return inputs |
|
|
| def test_single_file_format_inference_is_same_as_pretrained(self): |
| super().test_single_file_format_inference_is_same_as_pretrained(expected_max_diff=1e-3) |
|
|
