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Author SHA1 Message Date
molbal
2307a8841e
Merge 743599bd18 into e35348aa53 2026-05-07 11:18:47 +07:00
comfyanonymous
e35348aa53
Add .comfy_environment to portable. (#13746) 2026-05-06 22:51:01 -04:00
Jukka Seppänen
cd8c7a2306
Throttle dynamic VRAM prepare logging (#13704) 2026-05-07 10:41:13 +08:00
guill
6bcd8b96ab
Revert "Fix Content-Disposition header missing 'attachment;' prefix (#13093)" (#13733)
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This reverts commit ea6880b04b.
2026-05-06 10:08:35 -07:00
molbal
743599bd18
Enhance LoadImage to support recursive file scanning
Updated the LoadImage class to implement a recursive scan for image files with a limit and fallback to a non-recursive method if necessary.
2026-02-08 22:42:37 +01:00
molbal
382c20809b
Restore whitespace 2026-01-26 22:13:50 +01:00
molbal
27f40af5f5
Restore search aliases 2026-01-26 22:06:14 +01:00
molbal
25d4954b10
Enable recursive image loading in LoadImage node
The LoadImage node now recursively scans the input directory and all its subdirectories for images, similar to the behavior of the Load Checkpoint node.

Previously, the node only displayed images located in the root of the input folder. This made organizing and managing a large number of input images difficult.
2026-01-26 22:05:11 +01:00
4 changed files with 42 additions and 9 deletions

View File

@ -145,6 +145,8 @@ jobs:
cp -r ComfyUI/.ci/windows_${{ inputs.rel_name }}_base_files/* ./
cp ../update_comfyui_and_python_dependencies.bat ./update/
echo 'local-portable' > ComfyUI/.comfy_environment
cd ..
"C:\Program Files\7-Zip\7z.exe" a -t7z -m0=lzma2 -mx=9 -mfb=128 -md=768m -ms=on -mf=BCJ2 ComfyUI_windows_portable.7z ComfyUI_windows_portable

View File

@ -26,6 +26,7 @@ import uuid
from typing import Callable, Optional
import torch
import tqdm
import comfy.float
import comfy.hooks
@ -1651,7 +1652,11 @@ class ModelPatcherDynamic(ModelPatcher):
self.model.model_loaded_weight_memory += casted_buf.numel() * casted_buf.element_size()
force_load_stat = f" Force pre-loaded {len(self.backup)} weights: {self.model.model_loaded_weight_memory // 1024} KB." if len(self.backup) > 0 else ""
logging.info(f"Model {self.model.__class__.__name__} prepared for dynamic VRAM loading. {allocated_size // (1024 ** 2)}MB Staged. {num_patches} patches attached.{force_load_stat}")
log_key = (self.patches_uuid, allocated_size, num_patches, len(self.backup), self.model.model_loaded_weight_memory)
in_loop = bool(getattr(tqdm.tqdm, "_instances", None))
level = logging.DEBUG if in_loop and getattr(self, "_last_prepare_log_key", None) == log_key else logging.INFO
self._last_prepare_log_key = log_key
logging.log(level, f"Model {self.model.__class__.__name__} prepared for dynamic VRAM loading. {allocated_size // (1024 ** 2)}MB Staged. {num_patches} patches attached.{force_load_stat}")
self.model.device = device_to
self.model.current_weight_patches_uuid = self.patches_uuid

View File

@ -1678,20 +1678,46 @@ class PreviewImage(SaveImage):
"hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
}
class LoadImage:
@classmethod
def INPUT_TYPES(s):
input_dir = folder_paths.get_input_directory()
files = [f for f in os.listdir(input_dir) if os.path.isfile(os.path.join(input_dir, f))]
files = folder_paths.filter_files_content_types(files, ["image"])
files = []
limit = 1000
recursive_scan_failed = False
# Attempt recursive scan first
try:
for root, _, file_list in os.walk(input_dir, followlinks=False):
if recursive_scan_failed:
break
image_files = folder_paths.filter_files_content_types(file_list, ["image"])
for image_file in image_files:
if len(files) >= limit:
recursive_scan_failed = True
break
path_relative = os.path.relpath(os.path.join(root, image_file), input_dir)
path_relative = path_relative.replace('\\', '/')
files.append(path_relative)
except Exception:
recursive_scan_failed = True
# Fallback to original non-recursive method if limit exceeded or error
if recursive_scan_failed or not files:
files = [f for f in os.listdir(input_dir) if os.path.isfile(os.path.join(input_dir, f))]
files = folder_paths.filter_files_content_types(files, ["image"])
return {"required":
{"image": (sorted(files), {"image_upload": True})},
{"image": (sorted(list(dict.fromkeys(files))), {"image_upload": True})},
}
CATEGORY = "image"
ESSENTIALS_CATEGORY = "Basics"
SEARCH_ALIASES = ["load image", "open image", "import image", "image input", "upload image", "read image", "image loader"]
RETURN_TYPES = ("IMAGE", "MASK")
FUNCTION = "load_image"

View File

@ -560,7 +560,7 @@ class PromptServer():
buffer.seek(0)
return web.Response(body=buffer.read(), content_type=f'image/{image_format}',
headers={"Content-Disposition": f"attachment; filename=\"{filename}\""})
headers={"Content-Disposition": f"filename=\"{filename}\""})
if 'channel' not in request.rel_url.query:
channel = 'rgba'
@ -580,7 +580,7 @@ class PromptServer():
buffer.seek(0)
return web.Response(body=buffer.read(), content_type='image/png',
headers={"Content-Disposition": f"attachment; filename=\"{filename}\""})
headers={"Content-Disposition": f"filename=\"{filename}\""})
elif channel == 'a':
with Image.open(file) as img:
@ -597,7 +597,7 @@ class PromptServer():
alpha_buffer.seek(0)
return web.Response(body=alpha_buffer.read(), content_type='image/png',
headers={"Content-Disposition": f"attachment; filename=\"{filename}\""})
headers={"Content-Disposition": f"filename=\"{filename}\""})
else:
# Use the content type from asset resolution if available,
# otherwise guess from the filename.
@ -614,7 +614,7 @@ class PromptServer():
return web.FileResponse(
file,
headers={
"Content-Disposition": f"attachment; filename=\"{filename}\"",
"Content-Disposition": f"filename=\"{filename}\"",
"Content-Type": content_type
}
)