IOPaint/iopaint/tests/test_sdxl.py
2024-01-10 13:34:11 +08:00

173 lines
4.7 KiB
Python

import os
from iopaint.tests.utils import check_device, current_dir
os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = "1"
import pytest
import torch
from iopaint.model_manager import ModelManager
from iopaint.schema import HDStrategy, SDSampler, FREEUConfig
from iopaint.tests.test_model import get_config, assert_equal
@pytest.mark.parametrize("device", ["cuda", "mps"])
@pytest.mark.parametrize("strategy", [HDStrategy.ORIGINAL])
@pytest.mark.parametrize("sampler", [SDSampler.ddim])
def test_sdxl(device, strategy, sampler):
sd_steps = check_device(device)
model = ModelManager(
name="diffusers/stable-diffusion-xl-1.0-inpainting-0.1",
device=torch.device(device),
disable_nsfw=True,
sd_cpu_textencoder=False,
)
cfg = get_config(
strategy=strategy,
prompt="face of a fox, sitting on a bench",
sd_steps=sd_steps,
sd_strength=1.0,
sd_guidance_scale=7.0,
)
cfg.sd_sampler = sampler
assert_equal(
model,
cfg,
f"sdxl_device_{device}.png",
img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
fx=2,
fy=2,
)
@pytest.mark.parametrize("device", ["cuda", "cpu"])
@pytest.mark.parametrize("strategy", [HDStrategy.ORIGINAL])
@pytest.mark.parametrize("sampler", [SDSampler.ddim])
def test_sdxl_cpu_text_encoder(device, strategy, sampler):
sd_steps = check_device(device)
model = ModelManager(
name="diffusers/stable-diffusion-xl-1.0-inpainting-0.1",
device=torch.device(device),
disable_nsfw=True,
sd_cpu_textencoder=True,
)
cfg = get_config(
strategy=strategy,
prompt="face of a fox, sitting on a bench",
sd_steps=sd_steps,
sd_strength=1.0,
sd_guidance_scale=7.0,
)
cfg.sd_sampler = sampler
assert_equal(
model,
cfg,
f"sdxl_device_{device}.png",
img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
fx=2,
fy=2,
)
@pytest.mark.parametrize("device", ["cuda", "mps"])
@pytest.mark.parametrize("strategy", [HDStrategy.ORIGINAL])
@pytest.mark.parametrize("sampler", [SDSampler.ddim])
def test_sdxl_lcm_lora_and_freeu(device, strategy, sampler):
sd_steps = check_device(device)
model = ModelManager(
name="diffusers/stable-diffusion-xl-1.0-inpainting-0.1",
device=torch.device(device),
disable_nsfw=True,
sd_cpu_textencoder=False,
)
cfg = get_config(
strategy=strategy,
prompt="face of a fox, sitting on a bench",
sd_steps=sd_steps,
sd_strength=1.0,
sd_guidance_scale=2.0,
sd_lcm_lora=True,
)
cfg.sd_sampler = sampler
name = f"device_{device}_{sampler}"
assert_equal(
model,
cfg,
f"sdxl_{name}_lcm_lora.png",
img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
fx=2,
fy=2,
)
cfg = get_config(
strategy=strategy,
prompt="face of a fox, sitting on a bench",
sd_steps=sd_steps,
sd_guidance_scale=7.5,
sd_freeu=True,
sd_freeu_config=FREEUConfig(),
)
assert_equal(
model,
cfg,
f"sdxl_{name}_freeu_device_{device}.png",
img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
fx=2,
fy=2,
)
@pytest.mark.parametrize("device", ["cuda", "mps"])
@pytest.mark.parametrize(
"rect",
[
[-128, -128, 1024, 1024],
],
)
def test_sdxl_outpainting(device, rect):
sd_steps = check_device(device)
model = ModelManager(
name="diffusers/stable-diffusion-xl-1.0-inpainting-0.1",
device=torch.device(device),
disable_nsfw=True,
sd_cpu_textencoder=False,
)
cfg = get_config(
strategy=HDStrategy.ORIGINAL,
prompt="a dog sitting on a bench in the park",
sd_steps=sd_steps,
use_extender=True,
extender_x=rect[0],
extender_y=rect[1],
extender_width=rect[2],
extender_height=rect[3],
sd_strength=1.0,
sd_guidance_scale=8.0,
sd_sampler=SDSampler.ddim,
)
assert_equal(
model,
cfg,
f"sdxl_outpainting_dog_ddim_{'_'.join(map(str, rect))}_device_{device}.png",
img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
fx=1.5,
fy=1.5,
)