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9c4fa5fb27 |
@@ -286,6 +286,7 @@ This custom node helps to conveniently enhance images through Detector, Detailer
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* `Negative Cond Placeholder` - Models like FLUX.1 do not use Negative Conditioning. This is a placeholder node for them. You can use FLUX.1 by replacing the Negative Conditioning used in Impact KSampler, KSampler (Inspire), and Detailer with this node.
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* `Execution Order Controller` - A helper node that can forcibly control the execution order of nodes.
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* Connect the output of the node that should be executed first to the signal, and make the input of the node that should be executed later pass through this node.
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* `List Bridge` - When passing the list output through this node, it collects and organizes the data before forwarding it, which ensures that the previous stage's sub-workflow has been completed.
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## MMDet nodes (DEPRECATED) - Don't use these nodes
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@@ -273,6 +273,7 @@ NODE_CLASS_MAPPINGS = {
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"StringListToString": StringListToString,
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"WildcardPromptFromString": WildcardPromptFromString,
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"ImpactExecutionOrderController": ImpactExecutionOrderController,
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"ImpactListBridge": ImpactListBridge,
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"RemoveNoiseMask": RemoveNoiseMask,
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@@ -393,6 +394,7 @@ NODE_DISPLAY_NAME_MAPPINGS = {
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"ImpactSwitch": "Switch (Any)",
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"ImpactInversedSwitch": "Inversed Switch (Any)",
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"ImpactExecutionOrderController": "Execution Order Controller",
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"ImpactListBridge": "List Bridge",
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"MasksToMaskList": "Mask Batch to Mask List",
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"MaskListToMaskBatch": "Mask List to Mask Batch",
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@@ -1,10 +1,13 @@
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import functools
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import os
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import re
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import shutil
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import sys
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import subprocess
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import threading
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import locale
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import traceback
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from typing import Set
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if sys.argv[0] == 'install.py':
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@@ -66,6 +69,42 @@ def process_wrap(cmd_str, cwd=None, handler=None, env=None):
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stderr_thread.join()
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return process.wait()
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@functools.cache
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def get_installed_packages() -> Set[str]:
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try:
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result = subprocess.check_output([sys.executable, '-m', 'pip', 'list'], universal_newlines=True)
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pip_list = set([line.split()[0].lower() for line in result.split('\n') if line.strip()])
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return pip_list
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except subprocess.CalledProcessError as e:
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raise Exception(f"[ComfyUI-Impact-Pack] Failed to retrieve the information of installed pip packages.")
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def is_package_installed(name: str) -> bool:
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name = name.strip()
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pattern = r'([^<>!=]+)([<>!=]=?)'
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match = re.search(pattern, name)
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if match:
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name = match.group(1)
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result = name.lower() in get_installed_packages()
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return result
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def is_requirements_installed(file_path: str) -> bool:
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print(f"Requirements file: {file_path}")
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if os.path.exists(file_path):
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with open(file_path, "r") as file:
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lines = file.readlines()
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for line in lines:
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if not is_package_installed(line):
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return False
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pip_install = [sys.executable, "-m", "pip", "install", "-U"]
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# ---
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+7
-3
@@ -353,7 +353,7 @@ app.registerExtension({
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}
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this.outputs[0].type = origin_type;
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this.outputs[0].name = origin_type;
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this.outputs[0].name = 'output1';
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}
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return;
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@@ -483,8 +483,12 @@ app.registerExtension({
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if(this.inputs[0].type == '*'){
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const node = app.graph.getNodeById(link_info.origin_id);
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let origin_type = node.outputs[link_info.origin_slot].type;
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let origin_type = node.outputs[link_info.origin_slot]?.type;
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if(link_info.target_slot == 0 && this.inputs.length > 1) {
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origin_type = this.inputs[1].type;
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node.connect(link_info.origin_slot, node.id, 'input1');
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}
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if(origin_type == '*') {
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this.disconnectInput(link_info.target_slot);
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return;
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@@ -1,10 +1,10 @@
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import configparser
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import os
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version_code = [7, 10, 1]
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version_code = [7, 11, 4]
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version = f"V{version_code[0]}.{version_code[1]}" + (f'.{version_code[2]}' if len(version_code) > 2 else '')
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dependency_version = 23
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dependency_version = 24
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my_path = os.path.dirname(__file__)
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old_config_path = os.path.join(my_path, "impact-pack.ini")
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+29
-19
@@ -319,7 +319,12 @@ def enhance_detail(image, model, clip, vae, guide_size, guide_size_for_bbox, max
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# prepare mask
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if noise_mask is not None and inpaint_model:
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positive, negative, latent_image = nodes.InpaintModelConditioning().encode(positive, negative, upscaled_image, vae, noise_mask)
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imc_encode = nodes.InpaintModelConditioning().encode
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if 'noise_mask' in inspect.signature(imc_encode).parameters:
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positive, negative, latent_image = imc_encode(positive, negative, upscaled_image, vae, mask=noise_mask, noise_mask=True)
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else:
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print(f"[Impact Pack] ComfyUI is an outdated version.")
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positive, negative, latent_image = imc_encode(positive, negative, upscaled_image, vae, noise_mask)
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else:
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latent_image = to_latent_image(upscaled_image, vae)
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if noise_mask is not None:
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@@ -1354,9 +1359,14 @@ def segs_to_masklist(segs):
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return masks
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def vae_decode(vae, samples, use_tile, hook, tile_size=512):
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def vae_decode(vae, samples, use_tile, hook, tile_size=512, overlap=64):
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if use_tile:
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pixels = nodes.VAEDecodeTiled().decode(vae, samples, tile_size)[0]
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decoder = nodes.VAEDecodeTiled()
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if 'overlap' in inspect.signature(decoder.decode).parameters:
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pixels = decoder.decode(vae, samples, tile_size, overlap=overlap)[0]
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else:
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print(f"[Impact Pack] Your ComfyUI is outdated.")
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pixels = decoder.decode(vae, samples, tile_size)[0]
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else:
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pixels = nodes.VAEDecode().decode(vae, samples)[0]
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@@ -1378,12 +1388,12 @@ def vae_encode(vae, pixels, use_tile, hook, tile_size=512):
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return samples
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def latent_upscale_on_pixel_space_shape(samples, scale_method, w, h, vae, use_tile=False, tile_size=512, save_temp_prefix=None, hook=None):
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return latent_upscale_on_pixel_space_shape2(samples, scale_method, w, h, vae, use_tile, tile_size, save_temp_prefix, hook)[0]
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def latent_upscale_on_pixel_space_shape(samples, scale_method, w, h, vae, use_tile=False, tile_size=512, save_temp_prefix=None, hook=None, overlap=64):
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return latent_upscale_on_pixel_space_shape2(samples, scale_method, w, h, vae, use_tile, tile_size, save_temp_prefix, hook, overlap=overlap)[0]
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def latent_upscale_on_pixel_space_shape2(samples, scale_method, w, h, vae, use_tile=False, tile_size=512, save_temp_prefix=None, hook=None):
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pixels = vae_decode(vae, samples, use_tile, hook, tile_size=tile_size)
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def latent_upscale_on_pixel_space_shape2(samples, scale_method, w, h, vae, use_tile=False, tile_size=512, save_temp_prefix=None, hook=None, overlap=64):
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pixels = vae_decode(vae, samples, use_tile, hook, tile_size=tile_size, overlap=overlap)
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if save_temp_prefix is not None:
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nodes.PreviewImage().save_images(pixels, filename_prefix=save_temp_prefix)
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@@ -1397,12 +1407,12 @@ def latent_upscale_on_pixel_space_shape2(samples, scale_method, w, h, vae, use_t
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return (vae_encode(vae, pixels, use_tile, hook, tile_size=tile_size), old_pixels)
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def latent_upscale_on_pixel_space(samples, scale_method, scale_factor, vae, use_tile=False, tile_size=512, save_temp_prefix=None, hook=None):
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return latent_upscale_on_pixel_space2(samples, scale_method, scale_factor, vae, use_tile, tile_size, save_temp_prefix, hook)[0]
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def latent_upscale_on_pixel_space(samples, scale_method, scale_factor, vae, use_tile=False, tile_size=512, save_temp_prefix=None, hook=None, overlap=64):
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return latent_upscale_on_pixel_space2(samples, scale_method, scale_factor, vae, use_tile, tile_size, save_temp_prefix, hook, overlap=overlap)[0]
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def latent_upscale_on_pixel_space2(samples, scale_method, scale_factor, vae, use_tile=False, tile_size=512, save_temp_prefix=None, hook=None):
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pixels = vae_decode(vae, samples, use_tile, hook, tile_size=tile_size)
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def latent_upscale_on_pixel_space2(samples, scale_method, scale_factor, vae, use_tile=False, tile_size=512, save_temp_prefix=None, hook=None, overlap=64):
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pixels = vae_decode(vae, samples, use_tile, hook, tile_size=tile_size, overlap=overlap)
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if save_temp_prefix is not None:
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nodes.PreviewImage().save_images(pixels, filename_prefix=save_temp_prefix)
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@@ -1418,12 +1428,12 @@ def latent_upscale_on_pixel_space2(samples, scale_method, scale_factor, vae, use
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return (vae_encode(vae, pixels, use_tile, hook, tile_size=tile_size), old_pixels)
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def latent_upscale_on_pixel_space_with_model_shape(samples, scale_method, upscale_model, new_w, new_h, vae, use_tile=False, tile_size=512, save_temp_prefix=None, hook=None):
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return latent_upscale_on_pixel_space_with_model_shape2(samples, scale_method, upscale_model, new_w, new_h, vae, use_tile, tile_size, save_temp_prefix, hook)[0]
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def latent_upscale_on_pixel_space_with_model_shape(samples, scale_method, upscale_model, new_w, new_h, vae, use_tile=False, tile_size=512, save_temp_prefix=None, hook=None, overlap=64):
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return latent_upscale_on_pixel_space_with_model_shape2(samples, scale_method, upscale_model, new_w, new_h, vae, use_tile, tile_size, save_temp_prefix, hook, overlap=overlap)[0]
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def latent_upscale_on_pixel_space_with_model_shape2(samples, scale_method, upscale_model, new_w, new_h, vae, use_tile=False, tile_size=512, save_temp_prefix=None, hook=None):
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pixels = vae_decode(vae, samples, use_tile, hook, tile_size=tile_size)
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def latent_upscale_on_pixel_space_with_model_shape2(samples, scale_method, upscale_model, new_w, new_h, vae, use_tile=False, tile_size=512, save_temp_prefix=None, hook=None, overlap=64):
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pixels = vae_decode(vae, samples, use_tile, hook, tile_size=tile_size, overlap=overlap)
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if save_temp_prefix is not None:
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nodes.PreviewImage().save_images(pixels, filename_prefix=save_temp_prefix)
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@@ -1450,12 +1460,12 @@ def latent_upscale_on_pixel_space_with_model_shape2(samples, scale_method, upsca
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def latent_upscale_on_pixel_space_with_model(samples, scale_method, upscale_model, scale_factor, vae, use_tile=False,
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tile_size=512, save_temp_prefix=None, hook=None):
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return latent_upscale_on_pixel_space_with_model2(samples, scale_method, upscale_model, scale_factor, vae, use_tile, tile_size, save_temp_prefix, hook)[0]
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tile_size=512, save_temp_prefix=None, hook=None, overlap=64):
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return latent_upscale_on_pixel_space_with_model2(samples, scale_method, upscale_model, scale_factor, vae, use_tile, tile_size, save_temp_prefix, hook, overlap=overlap)[0]
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def latent_upscale_on_pixel_space_with_model2(samples, scale_method, upscale_model, scale_factor, vae, use_tile=False,
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tile_size=512, save_temp_prefix=None, hook=None):
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pixels = vae_decode(vae, samples, use_tile, hook, tile_size=tile_size)
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tile_size=512, save_temp_prefix=None, hook=None, overlap=64):
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pixels = vae_decode(vae, samples, use_tile, hook, tile_size=tile_size, overlap=overlap)
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if save_temp_prefix is not None:
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nodes.PreviewImage().save_images(pixels, filename_prefix=save_temp_prefix)
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@@ -766,6 +766,29 @@ class ImpactExecutionOrderController:
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return signal, value
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class ImpactListBridge:
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@classmethod
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def INPUT_TYPES(cls):
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return {"required": {
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"list_input": (any_typ,),
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}}
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FUNCTION = "doit"
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DESCRIPTION = "When passing the list output through this node, it collects and organizes the data before forwarding it, which ensures that the previous stage's sub-workflow has been completed."
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CATEGORY = "ImpactPack/Util"
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RETURN_TYPES = (any_typ, )
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RETURN_NAMES = ("list_output", )
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INPUT_IS_LIST = True
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OUTPUT_IS_LIST = (True, )
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@staticmethod
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def doit(list_input):
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return (list_input,)
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original_handle_execution = execution.PromptExecutor.handle_execution_error
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@@ -896,7 +896,7 @@ class From_SEG_ELT_bbox:
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CATEGORY = "ImpactPack/Util"
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def doit(self, bbox):
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return bbox
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return [int(c) for c in bbox]
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class From_SEG_ELT_crop_region:
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@@ -1101,10 +1101,10 @@ class SEG_ELT_BBOX_ScaleBy:
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x1, y1, x2, y2 = x1-cx1, y1-cy1, x2-cx1, y2-cy1
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h, w = mask.shape
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x1 = min(w-1, max(0, x1))
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x2 = min(w-1, max(0, x2))
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y1 = min(h-1, max(0, y1))
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y2 = min(h-1, max(0, y2))
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x1 = int(min(w-1, max(0, x1)))
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x2 = int(min(w-1, max(0, x2)))
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y1 = int(min(h-1, max(0, y1)))
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y2 = int(min(h-1, max(0, y2)))
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mask_cropped = mask.copy()
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mask_cropped[:, :x1] = 0 # zero fill left side
|
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|
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@@ -106,7 +106,12 @@ def img2img_segs(image, model, clip, vae, seed, steps, cfg, sampler_name, schedu
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|
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# prepare mask
|
||||
if noise_mask is not None and inpaint_model:
|
||||
positive, negative, latent_image = nodes.InpaintModelConditioning().encode(positive, negative, image, vae, noise_mask)
|
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imc_encode = nodes.InpaintModelConditioning().encode
|
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if 'noise_mask' in inspect.signature(imc_encode).parameters:
|
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positive, negative, latent_image = imc_encode(positive, negative, image, vae, mask=noise_mask, noise_mask=True)
|
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else:
|
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print(f"[Impact Pack] ComfyUI is an outdated version.")
|
||||
positive, negative, latent_image = imc_encode(positive, negative, image, vae, noise_mask)
|
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else:
|
||||
latent_image = to_latent_image(image, vae)
|
||||
if noise_mask is not None:
|
||||
|
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@@ -17,9 +17,16 @@ class GeneralSwitch:
|
||||
dyn_inputs = {"input1": (any_typ, {"lazy": True, "tooltip": "Any input. When connected, one more input slot is added."}), }
|
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if core.is_execution_model_version_supported():
|
||||
stack = inspect.stack()
|
||||
if stack[2].function == 'get_input_info' and stack[3].function == 'add_node':
|
||||
for x in range(2, 200):
|
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dyn_inputs[f"input{x}"] = (any_typ, {"lazy": True})
|
||||
if stack[2].function == 'get_input_info':
|
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# bypass validation
|
||||
class AllContainer:
|
||||
def __contains__(self, item):
|
||||
return True
|
||||
|
||||
def __getitem__(self, key):
|
||||
return any_typ, {"lazy": True}
|
||||
|
||||
dyn_inputs = AllContainer()
|
||||
|
||||
inputs = {"required": {
|
||||
"select": ("INT", {"default": 1, "min": 1, "max": 999999, "step": 1, "tooltip": "The input number you want to output among the inputs"}),
|
||||
@@ -366,7 +373,7 @@ class ImageListToImageBatch:
|
||||
|
||||
def doit(self, images):
|
||||
if len(images) <= 1:
|
||||
return (images,)
|
||||
return (images[0],)
|
||||
else:
|
||||
image1 = images[0]
|
||||
for image2 in images[1:]:
|
||||
|
||||
@@ -58,11 +58,11 @@ def read_wildcard_dict(wildcard_path):
|
||||
try:
|
||||
with open(file_path, 'r', encoding="ISO-8859-1") as f:
|
||||
lines = f.read().splitlines()
|
||||
wildcard_dict[key] = lines
|
||||
wildcard_dict[key] = [x for x in lines if not x.strip().startswith('#')]
|
||||
except yaml.reader.ReaderError:
|
||||
with open(file_path, 'r', encoding="UTF-8", errors="ignore") as f:
|
||||
lines = f.read().splitlines()
|
||||
wildcard_dict[key] = lines
|
||||
wildcard_dict[key] = [x for x in lines if not x.strip().startswith('#')]
|
||||
elif file.endswith('.yaml'):
|
||||
file_path = os.path.join(root, file)
|
||||
|
||||
@@ -150,7 +150,7 @@ def process(text, seed=None):
|
||||
matches = re.findall(wildcard_pattern, multi_select_pattern[1])
|
||||
if len(options) == 1 and matches:
|
||||
# count$$<single wildcard>
|
||||
options = local_wildcard_dict.get(matches[0])
|
||||
options = get_wildcard_options(multi_select_pattern[1])
|
||||
else:
|
||||
# count$$opt1|opt2|...
|
||||
options[0] = multi_select_pattern[1]
|
||||
@@ -199,6 +199,34 @@ def process(text, seed=None):
|
||||
|
||||
return replaced_string, replacements_found
|
||||
|
||||
def get_wildcard_options(string):
|
||||
pattern = r"__([\w.\-+/*\\]+?)__"
|
||||
matches = re.findall(pattern, string)
|
||||
|
||||
options = []
|
||||
|
||||
for match in matches:
|
||||
keyword = match.lower()
|
||||
keyword = wildcard_normalize(keyword)
|
||||
if keyword in local_wildcard_dict:
|
||||
options.extend(local_wildcard_dict[keyword])
|
||||
elif '*' in keyword:
|
||||
subpattern = keyword.replace('*', '.*').replace('+', '\\+')
|
||||
total_patterns = []
|
||||
found = False
|
||||
for k, v in local_wildcard_dict.items():
|
||||
if re.match(subpattern, k) is not None or re.match(subpattern, k+'/') is not None:
|
||||
total_patterns += v
|
||||
found = True
|
||||
|
||||
if found:
|
||||
options.extend(total_patterns)
|
||||
elif '/' not in keyword:
|
||||
string_fallback = string.replace(f"__{match}__", f"__*/{match}__", 1)
|
||||
options.extend(get_wildcard_options(string_fallback))
|
||||
|
||||
return options
|
||||
|
||||
def replace_wildcard(string):
|
||||
pattern = r"__([\w.\-+/*\\]+?)__"
|
||||
matches = re.findall(pattern, string)
|
||||
@@ -259,7 +287,7 @@ def process(text, seed=None):
|
||||
|
||||
|
||||
def is_numeric_string(input_str):
|
||||
return re.match(r'^-?\d+(\.\d+)?$', input_str) is not None
|
||||
return re.match(r'^-?(\d*\.?\d+|\d+\.?\d*)$', input_str) is not None
|
||||
|
||||
|
||||
def safe_float(x):
|
||||
|
||||
+1
-1
@@ -1,7 +1,7 @@
|
||||
[project]
|
||||
name = "comfyui-impact-pack"
|
||||
description = "This extension offers various detector nodes and detailer nodes that allow you to configure a workflow that automatically enhances facial details. And provide iterative upscaler."
|
||||
version = "7.10.1"
|
||||
version = "7.11.4"
|
||||
license = { file = "LICENSE.txt" }
|
||||
dependencies = ["segment-anything", "scikit-image", "piexif", "transformers", "opencv-python-headless", "GitPython", "scipy>=1.11.4"]
|
||||
|
||||
|
||||
Reference in New Issue
Block a user