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import os
from loguru import logger
from iopaint.tests.utils import check_device, get_config, assert_equal
os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = "1"
from pathlib import Path
import pytest
import torch
from iopaint.model_manager import ModelManager
from iopaint.schema import HDStrategy, SDSampler, FREEUConfig
current_dir = Path(__file__).parent.absolute().resolve()
save_dir = current_dir / "result"
save_dir.mkdir(exist_ok=True, parents=True)
@pytest.mark.parametrize("device", ["cuda", "mps"])
def test_runway_sd_1_5_all_samplers(device):
sd_steps = check_device(device)
model = ModelManager(
name="runwayml/stable-diffusion-inpainting",
device=torch.device(device),
disable_nsfw=True,
sd_cpu_textencoder=False,
)
all_samplers = [member.value for member in SDSampler.__members__.values()]
print(all_samplers)
for sampler in all_samplers:
print(f"Testing sampler {sampler}")
if (
sampler
in [SDSampler.dpm2_karras, SDSampler.dpm2_a_karras, SDSampler.lms_karras]
and device == "mps"
):
# diffusers 0.25.0 still has bug on these sampler on mps, wait main branch released to fix it
logger.warning(
"skip dpm2_karras on mps, diffusers does not support it on mps. TypeError: Cannot convert a MPS Tensor to float64 dtype as the MPS framework doesn't support float64. Please use float32 instead."
)
continue
cfg = get_config(
strategy=HDStrategy.ORIGINAL,
prompt="a fox sitting on a bench",
sd_steps=sd_steps,
sd_sampler=sampler,
)
name = f"device_{device}_{sampler}"
assert_equal(
model,
cfg,
f"runway_sd_{name}.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(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,
)
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}.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.ddim])
def test_runway_sd_freeu(device, sampler):
sd_steps = check_device(device)
model = ModelManager(
name="runwayml/stable-diffusion-inpainting",
device=torch.device(device),
disable_nsfw=True,
sd_cpu_textencoder=False,
)
cfg = get_config(
strategy=HDStrategy.ORIGINAL,
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(),
)
cfg.sd_sampler = sampler
assert_equal(
model,
cfg,
f"runway_sd_1_5_freeu_device_{device}.png",
img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
)
@pytest.mark.parametrize("device", ["cuda", "mps"])
@pytest.mark.parametrize("strategy", [HDStrategy.ORIGINAL])
@pytest.mark.parametrize("sampler", [SDSampler.ddim])
def test_runway_sd_sd_strength(device, strategy, sampler):
sd_steps = check_device(device)
model = ModelManager(
name="runwayml/stable-diffusion-inpainting",
device=torch.device(device),
disable_nsfw=True,
sd_cpu_textencoder=False,
)
cfg = get_config(
strategy=strategy,
prompt="a fox sitting on a bench",
sd_steps=sd_steps,
sd_strength=0.8,
)
cfg.sd_sampler = sampler
assert_equal(
model,
cfg,
f"runway_sd_strength_0.8_device_{device}.png",
img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
)
@pytest.mark.parametrize("device", ["cuda", "cpu"])
@pytest.mark.parametrize("strategy", [HDStrategy.ORIGINAL])
@pytest.mark.parametrize("sampler", [SDSampler.ddim])
def test_runway_sd_cpu_textencoder(device, strategy, sampler):
sd_steps = check_device(device)
model = ModelManager(
name="runwayml/stable-diffusion-inpainting",
device=torch.device(device),
disable_nsfw=True,
sd_cpu_textencoder=True,
)
cfg = get_config(
strategy=strategy,
prompt="a fox sitting on a bench",
sd_steps=sd_steps,
sd_sampler=sampler,
)
assert_equal(
model,
cfg,
f"runway_sd_device_{device}_cpu_textencoder.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,
)
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}.png",
img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
)
@pytest.mark.parametrize("device", ["cuda"])
@pytest.mark.parametrize("strategy", [HDStrategy.ORIGINAL])
@pytest.mark.parametrize("sampler", [SDSampler.dpm_plus_plus_2m])
def test_runway_sd_1_5_cpu_offload(device, strategy, sampler):
sd_steps = check_device(device)
model = ModelManager(
name="runwayml/stable-diffusion-inpainting",
device=torch.device(device),
disable_nsfw=True,
sd_cpu_textencoder=False,
cpu_offload=True,
)
cfg = get_config(
strategy=strategy, prompt="a fox sitting on a bench", sd_steps=sd_steps
)
cfg.sd_sampler = sampler
name = f"device_{device}_{sampler}"
assert_equal(
model,
cfg,
f"runway_sd_{strategy.capitalize()}_{name}_cpu_offload.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.ddim])
@pytest.mark.parametrize(
"name",
[
"sd-v1-5-inpainting.safetensors",
"v1-5-pruned-emaonly.safetensors",
"sd_xl_base_1.0.safetensors",
"sd_xl_base_1.0_inpainting_0.1.safetensors",
],
)
def test_local_file_path(device, sampler, name):
sd_steps = check_device(device)
model = ModelManager(
name=name,
device=torch.device(device),
disable_nsfw=True,
sd_cpu_textencoder=False,
cpu_offload=False,
)
cfg = get_config(
strategy=HDStrategy.ORIGINAL,
prompt="a fox sitting on a bench",
sd_steps=sd_steps,
)
cfg.sd_sampler = sampler
name = f"device_{device}_{sampler}_{name}"
is_sdxl = "sd_xl" in name
assert_equal(
model,
cfg,
f"sd_local_model_{name}.png",
img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
fx=1.5 if is_sdxl else 1,
fy=1.5 if is_sdxl else 1,
)