162 lines
4.2 KiB
Python
162 lines
4.2 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, FREEUConfig
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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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@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.ddim])
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def test_sdxl(sd_device, strategy, sampler):
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def callback(i, t, latents):
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pass
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if sd_device == "cuda" and not torch.cuda.is_available():
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return
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sd_steps = 20
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model = ModelManager(
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name="diffusers/stable-diffusion-xl-1.0-inpainting-0.1",
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device=torch.device(sd_device),
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hf_access_token="",
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disable_nsfw=True,
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sd_cpu_textencoder=False,
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callback=callback,
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)
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cfg = get_config(
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strategy,
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prompt="face of a fox, sitting on a bench",
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sd_steps=sd_steps,
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sd_strength=1.0,
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sd_guidance_scale=7.0,
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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"sdxl_{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=2,
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fy=2,
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)
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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.ddim])
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def test_sdxl_lcm_lora_and_freeu(sd_device, strategy, sampler):
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def callback(i, t, latents):
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pass
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if sd_device == "cuda" and not torch.cuda.is_available():
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return
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sd_steps = 5
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model = ModelManager(
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name="diffusers/stable-diffusion-xl-1.0-inpainting-0.1",
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device=torch.device(sd_device),
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hf_access_token="",
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disable_nsfw=True,
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sd_cpu_textencoder=False,
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callback=callback,
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)
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cfg = get_config(
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strategy,
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prompt="face of a fox, sitting on a bench",
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sd_steps=sd_steps,
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sd_strength=1.0,
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sd_guidance_scale=2.0,
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sd_lcm_lora=True,
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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"sdxl_{name}_lcm_lora.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=2,
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fy=2,
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)
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cfg = get_config(
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strategy,
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prompt="face of a fox, sitting on a bench",
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sd_steps=sd_steps,
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sd_guidance_scale=7.5,
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sd_freeu=True,
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sd_freeu_config=FREEUConfig(),
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)
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assert_equal(
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model,
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cfg,
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f"sdxl_{name}_freeu.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=2,
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fy=2,
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)
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@pytest.mark.parametrize("sd_device", ["mps"])
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@pytest.mark.parametrize(
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"rect",
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[
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[-128, -128, 1024, 1024],
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],
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)
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def test_sdxl_outpainting(sd_device, rect):
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if sd_device == "cuda" and not torch.cuda.is_available():
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return
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model = ModelManager(
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name="diffusers/stable-diffusion-xl-1.0-inpainting-0.1",
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device=torch.device(sd_device),
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hf_access_token="",
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disable_nsfw=True,
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sd_cpu_textencoder=False,
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)
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cfg = get_config(
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HDStrategy.ORIGINAL,
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prompt="a dog sitting on a bench in the park",
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sd_steps=20,
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use_extender=True,
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extender_x=rect[0],
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extender_y=rect[1],
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extender_width=rect[2],
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extender_height=rect[3],
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sd_strength=1.0,
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sd_guidance_scale=8.0,
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sd_sampler=SDSampler.ddim,
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)
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assert_equal(
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model,
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cfg,
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f"sdxl_outpainting_dog_ddim_{'_'.join(map(str, rect))}.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=1.5,
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fy=1.5,
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)
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