93 lines
2.9 KiB
Python
93 lines
2.9 KiB
Python
import os
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os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = "1"
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from pathlib import Path
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import pytest
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import torch
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from lama_cleaner.model_manager import ModelManager
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from lama_cleaner.schema import HDStrategy, SDSampler
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from lama_cleaner.tests.test_model import get_config, assert_equal
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current_dir = Path(__file__).parent.absolute().resolve()
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save_dir = current_dir / "result"
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save_dir.mkdir(exist_ok=True, parents=True)
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device = "cuda" if torch.cuda.is_available() else "cpu"
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device = torch.device(device)
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@pytest.mark.parametrize("sd_device", ["cuda", "mps"])
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@pytest.mark.parametrize("strategy", [HDStrategy.ORIGINAL])
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@pytest.mark.parametrize("sampler", [SDSampler.uni_pc])
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@pytest.mark.parametrize("cpu_textencoder", [True])
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@pytest.mark.parametrize("disable_nsfw", [True])
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def test_runway_sd_1_5(sd_device, strategy, sampler, cpu_textencoder, disable_nsfw):
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if sd_device == "cuda" and not torch.cuda.is_available():
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return
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if device == "mps" and not torch.backends.mps.is_available():
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return
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sd_steps = 1 if sd_device == "cpu" else 30
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model = ModelManager(
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name="sd1.5",
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sd_controlnet=True,
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device=torch.device(sd_device),
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hf_access_token="",
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sd_run_local=True,
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disable_nsfw=disable_nsfw,
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sd_cpu_textencoder=cpu_textencoder,
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)
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cfg = get_config(strategy, prompt="a fox sitting on a bench", sd_steps=sd_steps)
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cfg.sd_sampler = sampler
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name = f"device_{sd_device}_{sampler}_cpu_textencoder_{cpu_textencoder}_disnsfw_{disable_nsfw}"
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assert_equal(
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model,
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cfg,
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f"sd_controlnet_{name}.png",
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img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
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mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
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fx=1.2,
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fy=1.2,
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)
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@pytest.mark.parametrize("sd_device", ["cuda", "mps"])
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@pytest.mark.parametrize("sampler", [SDSampler.uni_pc])
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def test_local_file_path(sd_device, sampler):
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if sd_device == "cuda" and not torch.cuda.is_available():
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return
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if device == "mps" and not torch.backends.mps.is_available():
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return
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sd_steps = 1 if sd_device == "cpu" else 30
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model = ModelManager(
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name="sd1.5",
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sd_controlnet=True,
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device=torch.device(sd_device),
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hf_access_token="",
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sd_run_local=True,
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disable_nsfw=True,
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sd_cpu_textencoder=False,
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cpu_offload=True,
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sd_local_model_path="/Users/cwq/data/models/sd-v1-5-inpainting.ckpt",
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)
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cfg = get_config(
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HDStrategy.ORIGINAL,
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prompt="a fox sitting on a bench",
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sd_steps=sd_steps,
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)
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cfg.sd_sampler = sampler
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name = f"device_{sd_device}_{sampler}"
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assert_equal(
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model,
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cfg,
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f"sd_controlnet_local_model_{name}.png",
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img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
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mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
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)
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