IOPaint/lama_cleaner/tests/test_outpainting.py
2023-12-28 10:48:52 +08:00

150 lines
4.5 KiB
Python

import os
from lama_cleaner.tests.utils import current_dir, check_device
os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = "1"
from pathlib import Path
import pytest
import torch
from lama_cleaner.model_manager import ModelManager
from lama_cleaner.schema import HDStrategy, SDSampler
from lama_cleaner.tests.test_model import get_config, assert_equal
@pytest.mark.parametrize("name", ["runwayml/stable-diffusion-inpainting"])
@pytest.mark.parametrize("device", ["cuda", "mps", "cpu"])
@pytest.mark.parametrize(
"rect",
[
[0, -100, 512, 512 - 128 + 100],
[0, 128, 512, 512 - 128 + 100],
[128, 0, 512 - 128 + 100, 512],
[-100, 0, 512 - 128 + 100, 512],
[0, 0, 512, 512 + 200],
[0, 0, 512 + 200, 512],
[-100, -100, 512 + 200, 512 + 200],
],
)
def test_outpainting(name, device, rect):
sd_steps = check_device(device)
def callback(i, t, latents):
pass
model = ModelManager(
name=name,
device=torch.device(device),
disable_nsfw=True,
sd_cpu_textencoder=False,
callback=callback,
)
cfg = get_config(
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_guidance_scale=8.0,
sd_sampler=SDSampler.dpm_plus_plus,
)
assert_equal(
model,
cfg,
f"{name.replace('/', '--')}_outpainting_{'_'.join(map(str, rect))}_device_{device}.png",
img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
)
@pytest.mark.parametrize("name", ["kandinsky-community/kandinsky-2-2-decoder-inpaint"])
@pytest.mark.parametrize("device", ["cuda", "mps", "cpu"])
@pytest.mark.parametrize(
"rect",
[
[-128, -128, 768, 768],
],
)
def test_kandinsky_outpainting(name, device, rect):
sd_steps = check_device(device)
def callback(i, t, latents):
pass
model = ModelManager(
name=name,
device=torch.device(device),
disable_nsfw=True,
sd_cpu_textencoder=False,
callback=callback,
)
cfg = get_config(
prompt="a cat",
negative_prompt="lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature",
sd_steps=sd_steps,
use_extender=True,
extender_x=rect[0],
extender_y=rect[1],
extender_width=rect[2],
extender_height=rect[3],
sd_guidance_scale=7,
sd_sampler=SDSampler.dpm_plus_plus,
)
assert_equal(
model,
cfg,
f"{name.replace('/', '--')}_outpainting_{'_'.join(map(str, rect))}_device_{device}.png",
img_p=current_dir / "cat.png",
mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
fx=1,
fy=1,
)
@pytest.mark.parametrize("name", ["Sanster/PowerPaint-V1-stable-diffusion-inpainting"])
@pytest.mark.parametrize("device", ["cuda", "mps", "cpu"])
@pytest.mark.parametrize(
"rect",
[
[-100, -100, 512 + 200, 512 + 200],
],
)
def test_powerpaint_outpainting(name, device, rect):
sd_steps = check_device(device)
def callback(i, t, latents):
pass
model = ModelManager(
name=name,
device=torch.device(device),
disable_nsfw=True,
sd_cpu_textencoder=False,
callback=callback,
)
cfg = get_config(
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_guidance_scale=8.0,
sd_sampler=SDSampler.dpm_plus_plus,
powerpaint_task="outpainting",
)
assert_equal(
model,
cfg,
f"{name.replace('/', '--')}_outpainting_{'_'.join(map(str, rect))}_device_{device}.png",
img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
)