alphard/efficiency-nodes-comfyui
1
0
Fork 0
mirror of https://github.com/jags111/efficiency-nodes-comfyui.git synced 2026-03-25 15:15:45 -03:00
Code Issues Packages Projects Releases Wiki Activity

Add some typing and explicit declaration

Browse Source
This commit is contained in:
Alexander Brown
2023-04-09 12:14:04 -07:00
parent efe1f68011
commit 3ab61366ce
1 changed files with 10 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files

13
efficiency_nodes.py
View File

@@ -2,6 +2,7 @@
# by Luciano Cirino (Discord: TSC#9184) - April 2023 # by Luciano Cirino (Discord: TSC#9184) - April 2023
from nodes import common_ksampler from nodes import common_ksampler
from torch import Tensor
from PIL import Image, ImageOps from PIL import Image, ImageOps
from PIL.PngImagePlugin import PngInfo from PIL.PngImagePlugin import PngInfo
import numpy as np import numpy as np
@@ -10,10 +11,8 @@ import torch
import os import os
import sys import sys
import json import json
import copy
import folder_paths import folder_paths
# Get the absolute path of the parent directory of the current script # Get the absolute path of the parent directory of the current script
my_dir = os.path.dirname(os.path.abspath(__file__)) my_dir = os.path.dirname(os.path.abspath(__file__))
@@ -74,6 +73,10 @@ class TSC_EfficientLoader:
if vae_name == "Baked VAE": if vae_name == "Baked VAE":
output_vae = True output_vae = True
model: ModelPatcher | None = None
clip: CLIP | None = None
vae: VAE | None = None
# Search for tuple index that contains ckpt_name in "ckpt" array of loaded_lbjects # Search for tuple index that contains ckpt_name in "ckpt" array of loaded_lbjects
checkpoint_found = False checkpoint_found = False
for i, entry in enumerate(loaded_objects["ckpt"]): for i, entry in enumerate(loaded_objects["ckpt"]):
@@ -115,6 +118,8 @@ class TSC_EfficientLoader:
loaded_objects["vae"].append((vae_name, vae)) loaded_objects["vae"].append((vae_name, vae))
# CLIP skip # CLIP skip
if not clip:
raise Exception("No CLIP found")
clip = clip.clone() clip = clip.clone()
clip.clip_layer(clip_skip) clip.clip_layer(clip_skip)
@@ -122,7 +127,7 @@ class TSC_EfficientLoader:
# TSC KSampler (Efficient) # TSC KSampler (Efficient)
last_helds = { last_helds: dict[str, list] = {
"results": [None for _ in range(15)], "results": [None for _ in range(15)],
"latent": [None for _ in range(15)], "latent": [None for _ in range(15)],
"images": [None for _ in range(15)] "images": [None for _ in range(15)]
@@ -194,6 +199,8 @@ class TSC_KSampler:
else: else:
last_images = last_helds["images"][my_unique_id] last_images = last_helds["images"][my_unique_id]
latent: Tensor|None = None
if sampler_state == "Sample": if sampler_state == "Sample":
samples = common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) samples = common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
latent = samples[0]["samples"] latent = samples[0]["samples"]