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lots of updates

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This commit is contained in:
Qing
2023-01-05 22:07:39 +08:00
parent 2e8e52f7a5
commit a22536becc
21 changed files with 394 additions and 74 deletions
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64
lama_cleaner/tests/test_sd_model.py
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@@ -99,8 +99,8 @@ def test_runway_sd_1_5_negative_prompt(sd_device, strategy, sampler):
device=torch.device(sd_device),
hf_access_token="",
sd_run_local=True,
sd_disable_nsfw=True,
sd_cpu_textencoder=True,
sd_disable_nsfw=False,
sd_cpu_textencoder=False,
callback=callback)
cfg = get_config(
strategy,
@@ -121,3 +121,63 @@ def test_runway_sd_1_5_negative_prompt(sd_device, strategy, sampler):
mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
fx=1
)
@pytest.mark.parametrize("sd_device", ['cuda'])
@pytest.mark.parametrize("strategy", [HDStrategy.ORIGINAL])
@pytest.mark.parametrize("sampler", [SDSampler.k_euler_a])
@pytest.mark.parametrize("cpu_textencoder", [False])
@pytest.mark.parametrize("disable_nsfw", [False])
def test_runway_sd_1_5_sd_scale(sd_device, strategy, sampler, cpu_textencoder, disable_nsfw):
if sd_device == 'cuda' and not torch.cuda.is_available():
return
sd_steps = 50 if sd_device == 'cuda' else 1
model = ModelManager(name="sd1.5",
device=torch.device(sd_device),
hf_access_token="",
sd_run_local=True,
sd_disable_nsfw=disable_nsfw,
sd_cpu_textencoder=cpu_textencoder)
cfg = get_config(strategy, prompt='a fox sitting on a bench', sd_steps=sd_steps, sd_scale=0.85)
cfg.sd_sampler = sampler
name = f"device_{sd_device}_{sampler}_cpu_textencoder_{cpu_textencoder}_disnsfw_{disable_nsfw}"
assert_equal(
model,
cfg,
f"runway_sd_{strategy.capitalize()}_{name}_sdscale.png",
img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
fx=1.3
)
@pytest.mark.parametrize("sd_device", ['cuda'])
@pytest.mark.parametrize("strategy", [HDStrategy.ORIGINAL])
@pytest.mark.parametrize("sampler", [SDSampler.k_euler_a])
def test_runway_sd_1_5_cpu_offload(sd_device, strategy, sampler):
if sd_device == 'cuda' and not torch.cuda.is_available():
return
sd_steps = 50 if sd_device == 'cuda' else 1
model = ModelManager(name="sd1.5",
device=torch.device(sd_device),
hf_access_token="",
sd_run_local=True,
sd_disable_nsfw=False,
sd_cpu_textencoder=False,
cpu_offload=True)
cfg = get_config(strategy, prompt='a fox sitting on a bench', sd_steps=sd_steps, sd_scale=0.85)
cfg.sd_sampler = sampler
name = f"device_{sd_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",
)