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import os
from loguru import logger
from iopaint.tests.utils import check_device, get_config, assert_equal, 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
@pytest.mark.parametrize("device", ["cuda", "mps"])
def test_runway_sd_1_5_low_mem(device):
sd_steps = check_device(device)
model = ModelManager(
name="runwayml/stable-diffusion-inpainting",
device=torch.device(device),
disable_nsfw=True,
sd_cpu_textencoder=False,
low_mem=True,
)
all_samplers = [member.value for member in SDSampler.__members__.values()]
print(all_samplers)
cfg = get_config(
strategy=HDStrategy.ORIGINAL,
prompt="a fox sitting on a bench",
sd_steps=sd_steps,
sd_sampler=SDSampler.ddim,
)
name = f"device_{device}"
assert_equal(
model,
cfg,
f"runway_sd_{name}_low_mem.png",
img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
)
@pytest.mark.parametrize("device", ["cuda", "mps", "cpu"])
@pytest.mark.parametrize("sampler", [SDSampler.lcm])
def test_runway_sd_lcm_lora_low_mem(device, sampler):
check_device(device)
sd_steps = 5
model = ModelManager(
name="runwayml/stable-diffusion-inpainting",
device=torch.device(device),
disable_nsfw=True,
sd_cpu_textencoder=False,
low_mem=True,
)
cfg = get_config(
strategy=HDStrategy.ORIGINAL,
prompt="face of a fox, sitting on a bench",
sd_steps=sd_steps,
sd_guidance_scale=2,
sd_lcm_lora=True,
)
cfg.sd_sampler = sampler
assert_equal(
model,
cfg,
f"runway_sd_1_5_lcm_lora_device_{device}_low_mem.png",
img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
)
@pytest.mark.parametrize("device", ["cuda", "mps", "cpu"])
@pytest.mark.parametrize("strategy", [HDStrategy.ORIGINAL])
@pytest.mark.parametrize("sampler", [SDSampler.ddim])
def test_runway_norm_sd_model(device, strategy, sampler):
sd_steps = check_device(device)
model = ModelManager(
name="runwayml/stable-diffusion-v1-5",
device=torch.device(device),
disable_nsfw=True,
sd_cpu_textencoder=False,
low_mem=True,
)
cfg = get_config(
strategy=strategy, prompt="face of a fox, sitting on a bench", sd_steps=sd_steps
)
cfg.sd_sampler = sampler
assert_equal(
model,
cfg,
f"runway_{device}_norm_sd_model_device_{device}_low_mem.png",
img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
)
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