241 lines
7.3 KiB
Python
241 lines
7.3 KiB
Python
import os
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from loguru import logger
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from iopaint.tests.utils import check_device, get_config, assert_equal
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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 iopaint.model_manager import ModelManager
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from iopaint.schema import HDStrategy, SDSampler
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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("device", ["cuda", "mps"])
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def test_runway_sd_1_5_all_samplers(device):
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sd_steps = check_device(device)
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model = ModelManager(
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name="runwayml/stable-diffusion-inpainting",
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device=torch.device(device),
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disable_nsfw=True,
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sd_cpu_textencoder=False,
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)
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all_samplers = [member.value for member in SDSampler.__members__.values()]
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print(all_samplers)
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for sampler in all_samplers:
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print(f"Testing sampler {sampler}")
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if (
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sampler
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in [SDSampler.dpm2_karras, SDSampler.dpm2_a_karras, SDSampler.lms_karras]
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and device == "mps"
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):
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# diffusers 0.25.0 still has bug on these sampler on mps, wait main branch released to fix it
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logger.warning(
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"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."
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)
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continue
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cfg = get_config(
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strategy=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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sd_sampler=sampler,
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)
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name = f"device_{device}_{sampler}"
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assert_equal(
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model,
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cfg,
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f"runway_sd_{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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@pytest.mark.parametrize("device", ["cuda", "mps", "cpu"])
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@pytest.mark.parametrize("sampler", [SDSampler.lcm])
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def test_runway_sd_lcm_lora(device, sampler):
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check_device(device)
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sd_steps = 5
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model = ModelManager(
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name="runwayml/stable-diffusion-inpainting",
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device=torch.device(device),
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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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strategy=HDStrategy.ORIGINAL,
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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=2,
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sd_lcm_lora=True,
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)
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cfg.sd_sampler = sampler
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assert_equal(
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model,
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cfg,
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f"runway_sd_1_5_lcm_lora_device_{device}.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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@pytest.mark.parametrize("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_runway_sd_sd_strength(device, strategy, sampler):
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sd_steps = check_device(device)
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model = ModelManager(
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name="runwayml/stable-diffusion-inpainting",
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device=torch.device(device),
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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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strategy=strategy,
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prompt="a fox sitting on a bench",
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sd_steps=sd_steps,
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sd_strength=0.8,
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)
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cfg.sd_sampler = sampler
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assert_equal(
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model,
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cfg,
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f"runway_sd_strength_0.8_device_{device}.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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@pytest.mark.parametrize("device", ["cuda", "cpu"])
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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_runway_sd_cpu_textencoder(device, strategy, sampler):
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sd_steps = check_device(device)
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model = ModelManager(
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name="runwayml/stable-diffusion-inpainting",
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device=torch.device(device),
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disable_nsfw=True,
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sd_cpu_textencoder=True,
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)
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cfg = get_config(
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strategy=strategy,
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prompt="a fox sitting on a bench",
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sd_steps=sd_steps,
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sd_sampler=sampler,
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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"runway_sd_device_{device}_cpu_textencoder.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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@pytest.mark.parametrize("device", ["cuda", "mps", "cpu"])
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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_runway_norm_sd_model(device, strategy, sampler):
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sd_steps = check_device(device)
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model = ModelManager(
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name="runwayml/stable-diffusion-v1-5",
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device=torch.device(device),
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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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strategy=strategy, prompt="face of a fox, sitting on a bench", sd_steps=sd_steps
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)
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cfg.sd_sampler = sampler
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assert_equal(
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model,
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cfg,
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f"runway_{device}_norm_sd_model_device_{device}.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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@pytest.mark.parametrize("device", ["cuda"])
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@pytest.mark.parametrize("strategy", [HDStrategy.ORIGINAL])
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@pytest.mark.parametrize("sampler", [SDSampler.dpm_plus_plus_2m])
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def test_runway_sd_1_5_cpu_offload(device, strategy, sampler):
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sd_steps = check_device(device)
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model = ModelManager(
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name="runwayml/stable-diffusion-inpainting",
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device=torch.device(device),
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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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)
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cfg = get_config(
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strategy=strategy, prompt="a fox sitting on a bench", sd_steps=sd_steps
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)
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cfg.sd_sampler = sampler
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name = f"device_{device}_{sampler}"
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assert_equal(
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model,
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cfg,
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f"runway_sd_{strategy.capitalize()}_{name}_cpu_offload.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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@pytest.mark.parametrize("device", ["cuda", "mps", "cpu"])
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@pytest.mark.parametrize("sampler", [SDSampler.ddim])
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@pytest.mark.parametrize(
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"name",
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[
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"sd-v1-5-inpainting.safetensors",
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"v1-5-pruned-emaonly.safetensors",
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"sd_xl_base_1.0.safetensors",
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"sd_xl_base_1.0_inpainting_0.1.safetensors",
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],
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)
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def test_local_file_path(device, sampler, name):
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sd_steps = check_device(device)
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model = ModelManager(
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name=name,
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device=torch.device(device),
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disable_nsfw=True,
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sd_cpu_textencoder=False,
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cpu_offload=False,
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)
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cfg = get_config(
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strategy=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_{device}_{sampler}_{name}"
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is_sdxl = "sd_xl" in name
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assert_equal(
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model,
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cfg,
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f"sd_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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fx=1.5 if is_sdxl else 1,
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fy=1.5 if is_sdxl else 1,
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)
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