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2 Commits
3 changed files with 18 additions and 6 deletions
+1 -1
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@@ -1,7 +1,7 @@
import configparser
import os
version_code = [6, 0, 1]
version_code = [6, 0, 3]
version = f"V{version_code[0]}.{version_code[1]}" + (f'.{version_code[2]}' if len(version_code) > 2 else '')
dependency_version = 22
+16 -4
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@@ -6,6 +6,7 @@ import latent_preview
import comfy
import torch
import math
import comfy.model_management as mm
try:
@@ -142,16 +143,27 @@ def sample_with_custom_noise(model, add_noise, noise_seed, cfg, positive, negati
disable_pbar = not comfy.utils.PROGRESS_BAR_ENABLED
device = mm.get_torch_device()
noise = noise.to(device)
latent_image = latent_image.to(device)
if noise_mask is not None:
noise_mask = noise_mask.to(device)
if negative != 'NegativePlaceholder':
guider = comfy.samplers.CFGGuider(model)
guider.set_conds(positive, negative)
guider.set_cfg(cfg)
# This way is incompatible with Advanced ControlNet, yet.
# guider = comfy.samplers.CFGGuider(model)
# guider.set_conds(positive, negative)
# guider.set_cfg(cfg)
samples = comfy.sample.sample_custom(model, noise, cfg, sampler, sigmas, positive, negative, latent_image,
noise_mask=noise_mask, callback=touched_callback,
disable_pbar=disable_pbar, seed=noise_seed)
else:
guider = nodes_custom_sampler.Guider_Basic(model)
positive = node_helpers.conditioning_set_values(positive, {"guidance": cfg})
guider.set_conds(positive)
samples = guider.sample(noise, latent_image, sampler, sigmas, denoise_mask=noise_mask, callback=touched_callback, disable_pbar=disable_pbar, seed=noise_seed)
samples = guider.sample(noise, latent_image, sampler, sigmas, denoise_mask=noise_mask, callback=touched_callback, disable_pbar=disable_pbar, seed=noise_seed)
samples = samples.to(comfy.model_management.intermediate_device())
out["samples"] = samples
+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 = "6.0.1"
version = "6.0.3"
license = { file = "LICENSE.txt" }
dependencies = ["segment-anything", "scikit-image", "piexif", "transformers", "opencv-python-headless", "GitPython", "scipy>=1.11.4"]