134 lines
6.5 KiB
Python
134 lines
6.5 KiB
Python
import os
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import subprocess
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import folder_paths
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import torch
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import numpy as np
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from PIL import Image
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import shutil
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import datetime
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import platform
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# NOUVEL IMPORT OBLIGATOIRE
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from scipy.io.wavfile import write as write_wav
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class VideoCompressor:
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"images": ("IMAGE",),
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"fps": ("FLOAT", {"default": 24.0, "min": 1.0, "max": 120.0, "step": 0.01}),
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"mode": (["2pass", "fast_crf", "gpu"], {"default": "2pass"}),
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"target_mb": ("FLOAT", {"min": 0.5, "max": 4000.0, "step": 0.5, "default": 8.0}),
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"codec": (["libx264", "libx265", "h264_nvenc", "hevc_nvenc"], {"default": "libx264"}),
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},
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"optional": {
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"audio": ("*",),
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"crf": ("INT", {"default": 23, "min": 10, "max": 40}),
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"preset": (["ultrafast","superfast","veryfast","faster","fast","medium","slow","slower","veryslow"], {"default": "fast"}),
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}
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}
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RETURN_TYPES = ("STRING", "IMAGE", "*")
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RETURN_NAMES = ("video_path", "images", "audio")
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FUNCTION = "process"
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CATEGORY = "🎥Video Utils"
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def _run_ffmpeg(self, command):
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try:
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subprocess.run(command, check=True, capture_output=True, text=True, encoding='utf-8')
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except subprocess.CalledProcessError as e:
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print(f"--- ERREUR FFmpeg ---\nCommande: {' '.join(e.cmd)}\nErreur: {e.stderr}\n--- FIN ERREUR ---")
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raise e
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def process(self, images, fps, mode, target_mb, codec, audio=None, crf=23, preset="fast"):
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gpu_codecs = ["h264_nvenc", "hevc_nvenc"]
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if mode == "gpu" and codec not in gpu_codecs: codec = "h264_nvenc"
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elif mode in ["fast_crf", "2pass"] and codec in gpu_codecs: codec = "libx264"
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temp_dir = os.path.join(folder_paths.get_temp_directory(), "compressor_final")
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shutil.rmtree(temp_dir, ignore_errors=True)
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os.makedirs(temp_dir, exist_ok=True)
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frames_path = os.path.join(temp_dir, "frame_%05d.png")
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clean_video_path = os.path.join(temp_dir, "clean_video.mp4")
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pass_log_file = os.path.join(temp_dir, "ffmpeg_passlog")
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# --- LOGIQUE AUDIO FINALE ET ROBUSTE ---
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audio_file_path = None
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has_audio = False
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if audio is not None:
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# CAS 1: L'entrée est des données audio brutes (un dictionnaire)
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if isinstance(audio, dict) and 'waveform' in audio and 'sample_rate' in audio:
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print("Détection de données audio brutes. Sauvegarde en fichier temporaire...")
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waveform = audio['waveform'].cpu().numpy()
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sample_rate = audio['sample_rate']
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# S'assurer que la forme est [samples, channels]
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if waveform.ndim == 3: waveform = waveform.squeeze(0)
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if waveform.shape[0] < waveform.shape[1]: waveform = waveform.T
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# Convertir de float [-1, 1] à int16 pour le fichier .wav
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waveform_int16 = (waveform * 32767).astype(np.int16)
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temp_wav_path = os.path.join(temp_dir, "temp_audio.wav")
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write_wav(temp_wav_path, sample_rate, waveform_int16)
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audio_file_path = temp_wav_path
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has_audio = True
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# CAS 2: L'entrée est un chemin de fichier (string, list, ou tuple)
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else:
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path_candidate = ""
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if isinstance(audio, (list, tuple)) and len(audio) > 0:
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path_candidate = str(audio[0])
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elif isinstance(audio, str):
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path_candidate = audio
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if os.path.exists(path_candidate):
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audio_file_path = path_candidate
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has_audio = True
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else:
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print(f"Avertissement: L'entrée audio fournie '{audio}' n'est ni des données brutes, ni un chemin valide.")
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try:
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for i, img in enumerate(images):
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Image.fromarray((255. * img.cpu().numpy()).astype(np.uint8)).save(frames_path % i)
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self._run_ffmpeg(["ffmpeg", "-y", "-framerate", str(fps), "-i", frames_path, "-c:v", "libx264", "-pix_fmt", "yuv420p", clean_video_path])
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duration_s = len(images) / float(fps)
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output_dir = os.path.join(folder_paths.get_output_directory(), "compressed_videos")
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os.makedirs(output_dir, exist_ok=True)
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timestamp = datetime.datetime.now().strftime("%Y%m%d-%H%M%S")
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final_video_path = os.path.join(output_dir, f"compressed_{timestamp}.mp4")
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if duration_s <= 0: raise ValueError("Durée invalide.")
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# ... Le reste du code utilise 'audio_file_path' qui est maintenant GARANTI d'être un chemin valide ...
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if mode == "2pass":
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audio_bitrate_bits = 128000 if has_audio else 0
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video_bitrate_k = int(((target_mb * 1024 * 1024 * 8 / duration_s) - audio_bitrate_bits) / 1000)
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if video_bitrate_k < 100: video_bitrate_k = 100
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pass1_cmd = ["ffmpeg", "-y", "-i", clean_video_path, "-c:v", codec, "-b:v", f"{video_bitrate_k}k", "-preset", preset, "-pass", "1", "-an", "-f", "mp4", "-passlogfile", pass_log_file, "NUL" if platform.system() == "Windows" else "/dev/null"]
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self._run_ffmpeg(pass1_cmd)
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pass2_cmd = ["ffmpeg", "-y", "-i", clean_video_path]
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if has_audio: pass2_cmd.extend(["-i", audio_file_path])
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pass2_cmd.extend(["-c:v", codec, "-b:v", f"{video_bitrate_k}k", "-preset", preset, "-pass", "2", "-passlogfile", pass_log_file])
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if has_audio: pass2_cmd.extend(["-c:a", "aac", "-b:a", "128k", "-map", "0:v:0", "-map", "1:a:0"])
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pass2_cmd.append(final_video_path)
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self._run_ffmpeg(pass2_cmd)
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else:
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final_cmd = ["ffmpeg", "-y", "-i", clean_video_path]
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if has_audio: final_cmd.extend(["-i", audio_file_path])
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quality_param = ["-crf", str(crf)] if mode == "fast_crf" else ["-cq", str(crf)]
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final_cmd.extend(["-c:v", codec, "-preset", preset] + quality_param)
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if has_audio: final_cmd.extend(["-c:a", "aac", "-b:a", "128k", "-map", "0:v:0", "-map", "1:a:0"])
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final_cmd.append(final_video_path)
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self._run_ffmpeg(final_cmd)
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return (final_video_path, images, audio if has_audio else "")
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finally:
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shutil.rmtree(temp_dir, ignore_errors=True) |