| |
| import argparse |
| import logging |
| import os |
| import sys |
| import warnings |
| from datetime import datetime |
|
|
| warnings.filterwarnings('ignore') |
|
|
| import random |
|
|
| import torch |
| import torch.distributed as dist |
| from PIL import Image |
|
|
| import wan |
| from wan.configs import MAX_AREA_CONFIGS, SIZE_CONFIGS, SUPPORTED_SIZES, WAN_CONFIGS |
| from wan.distributed.util import init_distributed_group |
| from wan.utils.prompt_extend import DashScopePromptExpander, QwenPromptExpander |
| from wan.utils.utils import merge_video_audio, save_video, str2bool |
|
|
|
|
| EXAMPLE_PROMPT = { |
| "t2v-A14B": { |
| "prompt": |
| "Two anthropomorphic cats in comfy boxing gear and bright gloves fight intensely on a spotlighted stage.", |
| }, |
| "i2v-A14B": { |
| "prompt": |
| "Summer beach vacation style, a white cat wearing sunglasses sits on a surfboard. The fluffy-furred feline gazes directly at the camera with a relaxed expression. Blurred beach scenery forms the background featuring crystal-clear waters, distant green hills, and a blue sky dotted with white clouds. The cat assumes a naturally relaxed posture, as if savoring the sea breeze and warm sunlight. A close-up shot highlights the feline's intricate details and the refreshing atmosphere of the seaside.", |
| "image": |
| "examples/i2v_input.JPG", |
| }, |
| "ti2v-5B": { |
| "prompt": |
| "Two anthropomorphic cats in comfy boxing gear and bright gloves fight intensely on a spotlighted stage.", |
| }, |
| "animate-14B": { |
| "prompt": "视频中的人在做动作", |
| "video": "", |
| "pose": "", |
| "mask": "", |
| }, |
| "s2v-14B": { |
| "prompt": |
| "Summer beach vacation style, a white cat wearing sunglasses sits on a surfboard. The fluffy-furred feline gazes directly at the camera with a relaxed expression. Blurred beach scenery forms the background featuring crystal-clear waters, distant green hills, and a blue sky dotted with white clouds. The cat assumes a naturally relaxed posture, as if savoring the sea breeze and warm sunlight. A close-up shot highlights the feline's intricate details and the refreshing atmosphere of the seaside.", |
| "image": |
| "examples/i2v_input.JPG", |
| "audio": |
| "examples/talk.wav", |
| "tts_prompt_audio": |
| "examples/zero_shot_prompt.wav", |
| "tts_prompt_text": |
| "希望你以后能够做的比我还好呦。", |
| "tts_text": |
| "收到好友从远方寄来的生日礼物,那份意外的惊喜与深深的祝福让我心中充满了甜蜜的快乐,笑容如花儿般绽放。" |
| }, |
| } |
|
|
|
|
| def _validate_args(args): |
| |
| assert args.ckpt_dir is not None, "Please specify the checkpoint directory." |
| assert args.task in WAN_CONFIGS, f"Unsupport task: {args.task}" |
| assert args.task in EXAMPLE_PROMPT, f"Unsupport task: {args.task}" |
|
|
| if args.prompt is None: |
| args.prompt = EXAMPLE_PROMPT[args.task]["prompt"] |
| if args.image is None and "image" in EXAMPLE_PROMPT[args.task]: |
| args.image = EXAMPLE_PROMPT[args.task]["image"] |
| if args.audio is None and args.enable_tts is False and "audio" in EXAMPLE_PROMPT[args.task]: |
| args.audio = EXAMPLE_PROMPT[args.task]["audio"] |
| if (args.tts_prompt_audio is None or args.tts_text is None) and args.enable_tts is True and "audio" in EXAMPLE_PROMPT[args.task]: |
| args.tts_prompt_audio = EXAMPLE_PROMPT[args.task]["tts_prompt_audio"] |
| args.tts_prompt_text = EXAMPLE_PROMPT[args.task]["tts_prompt_text"] |
| args.tts_text = EXAMPLE_PROMPT[args.task]["tts_text"] |
|
|
| if args.task == "i2v-A14B": |
| assert args.image is not None, "Please specify the image path for i2v." |
|
|
| cfg = WAN_CONFIGS[args.task] |
|
|
| if args.sample_steps is None: |
| args.sample_steps = cfg.sample_steps |
|
|
| if args.sample_shift is None: |
| args.sample_shift = cfg.sample_shift |
|
|
| if args.sample_guide_scale is None: |
| args.sample_guide_scale = cfg.sample_guide_scale |
|
|
| if args.frame_num is None: |
| args.frame_num = cfg.frame_num |
|
|
| args.base_seed = args.base_seed if args.base_seed >= 0 else random.randint( |
| 0, sys.maxsize) |
| |
| if not 's2v' in args.task: |
| assert args.size in SUPPORTED_SIZES[ |
| args. |
| task], f"Unsupport size {args.size} for task {args.task}, supported sizes are: {', '.join(SUPPORTED_SIZES[args.task])}" |
|
|
|
|
| class _Args: |
| pass |
|
|
| def _parse_args(): |
| args = _Args() |
|
|
| |
| args.task = "animate-14B" |
| |
| args.size = "720*1280" |
| args.frame_num = None |
| args.ckpt_dir = "./Wan2.2-Animate-14B/" |
| args.offload_model = False |
| args.ulysses_size = 1 |
| args.t5_fsdp = False |
| args.t5_cpu = False |
| args.dit_fsdp = False |
| args.prompt = None |
| args.use_prompt_extend = False |
| args.prompt_extend_method = "local_qwen" |
| args.prompt_extend_model = None |
| args.prompt_extend_target_lang = "zh" |
| args.base_seed = 1234 |
| args.image = None |
| args.sample_solver = "unipc" |
| args.sample_steps = None |
| args.sample_shift = None |
| args.sample_guide_scale = None |
| args.convert_model_dtype = True |
|
|
| |
| args.refert_num = 1 |
|
|
| |
| args.num_clip = None |
| args.audio = None |
| args.enable_tts = False |
| args.tts_prompt_audio = None |
| args.tts_prompt_text = None |
| args.tts_text = None |
| args.pose_video = None |
| args.start_from_ref = False |
| args.infer_frames = 80 |
|
|
| _validate_args(args) |
| return args |
|
|
|
|
|
|
| def _init_logging(rank): |
| |
| if rank == 0: |
| |
| logging.basicConfig( |
| level=logging.INFO, |
| format="[%(asctime)s] %(levelname)s: %(message)s", |
| handlers=[logging.StreamHandler(stream=sys.stdout)]) |
| else: |
| logging.basicConfig(level=logging.ERROR) |
|
|
| def load_model(use_relighting_lora = False): |
| |
| cfg = WAN_CONFIGS["animate-14B"] |
| |
| return wan.WanAnimate( |
| config=cfg, |
| checkpoint_dir="./Wan2.2-Animate-14B/", |
| device_id=0, |
| rank=0, |
| t5_fsdp=False, |
| dit_fsdp=False, |
| use_sp=False, |
| t5_cpu=False, |
| convert_model_dtype=False, |
| use_relighting_lora=use_relighting_lora |
| ) |
|
|
| def generate(wan_animate, preprocess_dir, save_file, replace_flag = False): |
| args = _parse_args() |
| rank = int(os.getenv("RANK", 0)) |
| world_size = int(os.getenv("WORLD_SIZE", 1)) |
| local_rank = int(os.getenv("LOCAL_RANK", 0)) |
| device = local_rank |
| _init_logging(rank) |
|
|
| cfg = WAN_CONFIGS[args.task] |
|
|
| logging.info(f"Input prompt: {args.prompt}") |
| img = None |
| if args.image is not None: |
| img = Image.open(args.image).convert("RGB") |
| logging.info(f"Input image: {args.image}") |
|
|
| print(f'rank:{rank}') |
|
|
|
|
|
|
| logging.info(f"Generating video ...") |
| video = wan_animate.generate( |
| src_root_path=preprocess_dir, |
| replace_flag=replace_flag, |
| refert_num = args.refert_num, |
| clip_len=args.frame_num, |
| shift=args.sample_shift, |
| sample_solver=args.sample_solver, |
| sampling_steps=args.sample_steps, |
| guide_scale=args.sample_guide_scale, |
| seed=args.base_seed, |
| offload_model=args.offload_model) |
| if rank == 0: |
|
|
| save_video( |
| tensor=video[None], |
| save_file=save_file, |
| fps=cfg.sample_fps, |
| nrow=1, |
| normalize=True, |
| value_range=(-1, 1)) |
| |
| |
| |
| |
| |
| del video |
|
|
| torch.cuda.synchronize() |
| if dist.is_initialized(): |
| dist.barrier() |
| dist.destroy_process_group() |
|
|
| logging.info("Finished.") |
|
|
|
|