xinyun/ComfyUI-KJNodes
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make librosa import only on node load

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kijai 2024-01-06 16:38:10 +02:00
parent 6f9bbe3ccf
commit fd11cbc947
1 changed files with 9 additions and 6 deletions
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15
nodes.py
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@ -12,7 +12,6 @@ from PIL.PngImagePlugin import PngInfo
import json import json
import re import re
import os import os
import librosa
import random import random
from scipy.special import erf from scipy.special import erf
from .fluid import Fluid from .fluid import Fluid
@ -141,7 +140,12 @@ class CreateFluidMask:
return (torch.cat(out, dim=0),torch.cat(masks, dim=0),) return (torch.cat(out, dim=0),torch.cat(masks, dim=0),)
class CreateAudioMask: class CreateAudioMask:
def __init__(self):
try:
import librosa
self.librosa = librosa
except ImportError:
print("Can not import librosa. Install it with 'pip install librosa'")
RETURN_TYPES = ("IMAGE",) RETURN_TYPES = ("IMAGE",)
FUNCTION = "createaudiomask" FUNCTION = "createaudiomask"
CATEGORY = "KJNodes/masking/generate" CATEGORY = "KJNodes/masking/generate"
@ -151,7 +155,7 @@ class CreateAudioMask:
return { return {
"required": { "required": {
"invert": ("BOOLEAN", {"default": False}), "invert": ("BOOLEAN", {"default": False}),
"frames": ("INT", {"default": 0,"min": 0, "max": 255, "step": 1}), "frames": ("INT", {"default": 16,"min": 1, "max": 255, "step": 1}),
"scale": ("FLOAT", {"default": 0.5,"min": 0.0, "max": 2.0, "step": 0.01}), "scale": ("FLOAT", {"default": 0.5,"min": 0.0, "max": 2.0, "step": 0.01}),
"audio_path": ("STRING", {"default": "audio.wav"}), "audio_path": ("STRING", {"default": "audio.wav"}),
"width": ("INT", {"default": 256,"min": 16, "max": 4096, "step": 1}), "width": ("INT", {"default": 256,"min": 16, "max": 4096, "step": 1}),
@ -166,8 +170,8 @@ class CreateAudioMask:
masks = [] masks = []
if audio_path == "audio.wav": #I don't know why relative path won't work otherwise... if audio_path == "audio.wav": #I don't know why relative path won't work otherwise...
audio_path = os.path.join(script_dir, audio_path) audio_path = os.path.join(script_dir, audio_path)
audio, sr = librosa.load(audio_path) audio, sr = self.librosa.load(audio_path)
spectrogram = np.abs(librosa.stft(audio)) spectrogram = np.abs(self.librosa.stft(audio))
for i in range(batch_size): for i in range(batch_size):
image = Image.new("RGB", (width, height), "black") image = Image.new("RGB", (width, height), "black")
@ -693,7 +697,6 @@ class GrowMaskWithBlur:
# Convert the tensor list to PIL images, apply blur, and convert back # Convert the tensor list to PIL images, apply blur, and convert back
for idx, tensor in enumerate(out): for idx, tensor in enumerate(out):
# Convert tensor to PIL image # Convert tensor to PIL image
#pil_image = TF.to_pil_image(tensor.cpu().detach())
pil_image = tensor2pil(tensor.cpu().detach())[0] pil_image = tensor2pil(tensor.cpu().detach())[0]
# Apply Gaussian blur # Apply Gaussian blur
pil_image = pil_image.filter(ImageFilter.GaussianBlur(blur_radius)) pil_image = pil_image.filter(ImageFilter.GaussianBlur(blur_radius))