nodes/ltdrdata-ComfyUI-Impact-Pack
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FIX: compatibility patch latest ComfyUI update.

Browse Source 
https://github.com/comfyanonymous/ComfyUI/commit/b49616f9511c57c8d54c4032e305d72352ac4ff5

https://github.com/ltdrdata/ComfyUI-Impact-Pack/issues/812
This commit is contained in:
Dr.Lt.Data
2024-11-08 21:58:06 +09:00
parent cd89590a7d
commit 314b676cc3
3 changed files with 25 additions and 20 deletions
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modules/impact/config.py
+1 -1
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@@ -1,7 +1,7 @@
import configparser
import os
version_code = [7, 11]
version_code = [7, 11, 1]
version = f"V{version_code[0]}.{version_code[1]}" + (f'.{version_code[2]}' if len(version_code) > 2 else '')
dependency_version = 23
modules/impact/core.py
+23 -18
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@@ -1354,9 +1354,14 @@ def segs_to_masklist(segs):
return masks
def vae_decode(vae, samples, use_tile, hook, tile_size=512):
def vae_decode(vae, samples, use_tile, hook, tile_size=512, overlap=64):
if use_tile:
pixels = nodes.VAEDecodeTiled().decode(vae, samples, tile_size)[0]
decoder = nodes.VAEDecodeTiled()
if 'overlap' in inspect.signature(decoder.decode).parameters:
pixels = decoder.decode(vae, samples, tile_size, overlap=overlap)[0]
else:
print(f"[Impact Pack] Your ComfyUI is outdated.")
pixels = decoder.decode(vae, samples, tile_size)[0]
else:
pixels = nodes.VAEDecode().decode(vae, samples)[0]
@@ -1378,12 +1383,12 @@ def vae_encode(vae, pixels, use_tile, hook, tile_size=512):
return samples
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):
return latent_upscale_on_pixel_space_shape2(samples, scale_method, w, h, vae, use_tile, tile_size, save_temp_prefix, hook)[0]
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):
return latent_upscale_on_pixel_space_shape2(samples, scale_method, w, h, vae, use_tile, tile_size, save_temp_prefix, hook, overlap=overlap)[0]
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):
pixels = vae_decode(vae, samples, use_tile, hook, tile_size=tile_size)
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):
pixels = vae_decode(vae, samples, use_tile, hook, tile_size=tile_size, overlap=overlap)
if save_temp_prefix is not None:
nodes.PreviewImage().save_images(pixels, filename_prefix=save_temp_prefix)
@@ -1397,12 +1402,12 @@ def latent_upscale_on_pixel_space_shape2(samples, scale_method, w, h, vae, use_t
return (vae_encode(vae, pixels, use_tile, hook, tile_size=tile_size), old_pixels)
def latent_upscale_on_pixel_space(samples, scale_method, scale_factor, vae, use_tile=False, tile_size=512, save_temp_prefix=None, hook=None):
return latent_upscale_on_pixel_space2(samples, scale_method, scale_factor, vae, use_tile, tile_size, save_temp_prefix, hook)[0]
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):
return latent_upscale_on_pixel_space2(samples, scale_method, scale_factor, vae, use_tile, tile_size, save_temp_prefix, hook, overlap=overlap)[0]
def latent_upscale_on_pixel_space2(samples, scale_method, scale_factor, vae, use_tile=False, tile_size=512, save_temp_prefix=None, hook=None):
pixels = vae_decode(vae, samples, use_tile, hook, tile_size=tile_size)
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):
pixels = vae_decode(vae, samples, use_tile, hook, tile_size=tile_size, overlap=overlap)
if save_temp_prefix is not None:
nodes.PreviewImage().save_images(pixels, filename_prefix=save_temp_prefix)
@@ -1418,12 +1423,12 @@ def latent_upscale_on_pixel_space2(samples, scale_method, scale_factor, vae, use
return (vae_encode(vae, pixels, use_tile, hook, tile_size=tile_size), old_pixels)
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):
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]
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):
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]
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):
pixels = vae_decode(vae, samples, use_tile, hook, tile_size=tile_size)
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):
pixels = vae_decode(vae, samples, use_tile, hook, tile_size=tile_size, overlap=overlap)
if save_temp_prefix is not None:
nodes.PreviewImage().save_images(pixels, filename_prefix=save_temp_prefix)
@@ -1450,12 +1455,12 @@ def latent_upscale_on_pixel_space_with_model_shape2(samples, scale_method, upsca
def latent_upscale_on_pixel_space_with_model(samples, scale_method, upscale_model, scale_factor, vae, use_tile=False,
tile_size=512, save_temp_prefix=None, hook=None):
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]
tile_size=512, save_temp_prefix=None, hook=None, overlap=64):
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]
def latent_upscale_on_pixel_space_with_model2(samples, scale_method, upscale_model, scale_factor, vae, use_tile=False,
tile_size=512, save_temp_prefix=None, hook=None):
pixels = vae_decode(vae, samples, use_tile, hook, tile_size=tile_size)
tile_size=512, save_temp_prefix=None, hook=None, overlap=64):
pixels = vae_decode(vae, samples, use_tile, hook, tile_size=tile_size, overlap=overlap)
if save_temp_prefix is not None:
nodes.PreviewImage().save_images(pixels, filename_prefix=save_temp_prefix)
pyproject.toml
+1 -1
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@@ -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 = "7.11"
version = "7.11.1"
license = { file = "LICENSE.txt" }
dependencies = ["segment-anything", "scikit-image", "piexif", "transformers", "opencv-python-headless", "GitPython", "scipy>=1.11.4"]