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Merge pull request #218 from owenrao/main

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build: add config file and parallel batch process to lama.py
This commit is contained in:
chflame163
2024-08-20 21:20:17 +08:00
committed by GitHub
parent 0da0935d74 c6bd93a42f
commit 9a3530c272
1 changed files with 43 additions and 28 deletions
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py/lama.py
+43 -28
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@@ -35,7 +35,7 @@ class LaMa:
CATEGORY = '😺dzNodes/LayerUtility'
def lama(self, image, mask, lama_model, device, invert_mask, mask_grow, mask_blur):
log("lama copy")
l_images = []
l_masks = []
ret_images = []
@@ -59,29 +59,44 @@ class LaMa:
max_batch = max(len(l_images), len(l_masks))
for i in range(max_batch):
_image = l_images[i] if i < len(l_images) else l_images[-1]
_mask = l_masks[i] if i < len(l_masks) else l_masks[-1]
if mask_grow or mask_blur:
_mask = tensor2pil(expand_mask(image2mask(_mask), mask_grow, mask_blur))
if lama_model == 'spread':
if lama_model == 'spread':
for i in range(max_batch):
_image = l_images[i] if i < len(l_images) else l_images[-1]
_mask = l_masks[i] if i < len(l_masks) else l_masks[-1]
if mask_grow or mask_blur:
_mask = tensor2pil(expand_mask(image2mask(_mask), mask_grow, mask_blur))
ret_image = pixel_spread(tensor2pil(_image).convert('RGB'), ImageChops.invert(_mask.convert('RGB')))
else:
temp_dir = os.path.join(folder_paths.get_temp_directory(), generate_random_name('_lama_', '_temp', 16))
if os.path.isdir(temp_dir):
shutil.rmtree(temp_dir)
image_dir = os.path.join(temp_dir, 'image')
mask_dir = os.path.join(temp_dir, 'mask')
result_dir = os.path.join(temp_dir, 'result')
try:
os.makedirs(image_dir)
os.makedirs(mask_dir)
os.makedirs(result_dir)
except Exception as e:
print(e)
log(f"Error: {NODE_NAME} skipped, because unable to create temporary folder.", message_type='error')
return (image, )
ret_images.append(ret_image)
else:
temp_dir = os.path.join(folder_paths.get_temp_directory(), generate_random_name('_lama_', '_temp', 16))
if os.path.isdir(temp_dir):
shutil.rmtree(temp_dir)
image_dir = os.path.join(temp_dir, 'image')
mask_dir = os.path.join(temp_dir, 'mask')
result_dir = os.path.join(temp_dir, 'result')
config_dir = os.path.join(temp_dir, 'config.json')
try:
os.makedirs(image_dir)
os.makedirs(mask_dir)
os.makedirs(result_dir)
# Write Config File
with open(config_dir, "w") as file:
json.dump({
"hd_strategy_crop_trigger_size":1024
},file)
log(f"config file written: {config_dir}")
except Exception as e:
print(e)
log(f"Error: {NODE_NAME} skipped, because unable to create temporary folder.", message_type='error')
return (image, )
file_name_list = []
for i in range(max_batch):
_image = l_images[i] if i < len(l_images) else l_images[-1]
_mask = l_masks[i] if i < len(l_masks) else l_masks[-1]
if mask_grow or mask_blur:
_mask = tensor2pil(expand_mask(image2mask(_mask), mask_grow, mask_blur))
file_name = os.path.join(generate_random_name('lama_', '_temp', 16) + '.png')
try:
tensor2pil(_image).save(os.path.join(image_dir, file_name))
@@ -90,12 +105,12 @@ class LaMa:
print(e)
log(f"Error: {NODE_NAME} skipped, because unable to create temporary file.", message_type='error')
return (image, )
file_name_list.append(file_name)
# process
from .iopaint import cli
cli.run(model=lama_model, device=device, image=Path(image_dir), mask=Path(mask_dir), output=Path(result_dir))
ret_image = check_image_file(os.path.join(result_dir, file_name), 500)
shutil.rmtree(temp_dir)
ret_images.append(pil2tensor(ret_image))
from .iopaint import cli
cli.run(model=lama_model, device=device, image=Path(image_dir), mask=Path(mask_dir), output=Path(result_dir), config=Path(config_dir))
ret_images = [pil2tensor(check_image_file(os.path.join(result_dir, file_name), 500)) for file_name in file_name_list]
shutil.rmtree(temp_dir)
log(f"{NODE_NAME} Processed {len(ret_images)} image(s).", message_type='finish')