File size: 3,873 Bytes
cbbdd92 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 |
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, FREEUConfig
@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("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,
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=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}_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",
)
|