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github.com/MeiGen-AI/MultiTalk
/ functions
Functions
446 in github.com/MeiGen-AI/MultiTalk
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Functions
446
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Types & classes
101
↓ 1 callers
Method
time_shift
(self, mu: float, sigma: float, t: torch.Tensor)
wan/utils/fm_solvers.py:339
↓ 1 callers
Method
time_shift
(self, mu: float, sigma: float, t: torch.Tensor)
wan/utils/fm_solvers_unipc.py:278
↓ 1 callers
Function
timestep_transform
( t, shift=5.0, num_timesteps=1000, )
wan/multitalk.py:92
↓ 1 callers
Function
to_param_dtype_fp32only
(model, param_dtype)
wan/multitalk.py:43
↓ 1 callers
Method
transform
Forward STFT => returns magnitude, phase Output shape => (batch, freq_bins, frames)
kokoro/custom_stft.py:103
↓ 1 callers
Method
unpatchify
r""" Reconstruct video tensors from patch embeddings. Args: x (List[Tensor]): List of patchified features
wan/modules/multitalk_model.py:776
↓ 1 callers
Method
waterfall_last
( tokens: List[en.MToken], next_count: int, waterfall: List[str] = ['!.?…', ':;', ',—'
kokoro/pipeline.py:187
Function
GET_DTYPE
()
wan/wan_lora.py:10
Method
__call__
(self, sequence, **kwargs)
wan/modules/tokenizers.py:49
Method
__call__
(self, texts, device)
wan/modules/t5.py:528
Method
__call__
(self, prompt, system_prompt=None, tar_lang="zh",
wan/utils/prompt_extend.py:189
Method
__call__
( self, text: Union[str, List[str]], voice: Optional[str] = None, speed: Union
kokoro/pipeline.py:364
Method
__getitem__
(self, index)
kokoro/pipeline.py:357
Method
__init__
r""" Initializes the image-to-video generation model components. Args: config (EasyDict): Object containi
wan/first_last_frame2video.py:34
Method
__init__
r""" Initializes the image-to-video generation model components. Args: config (EasyDict): Object containi
wan/image2video.py:34
Method
__init__
(self, wan_model)
wan/wan_lora.py:15
Method
__init__
r""" Initializes the Wan text-to-video generation model components. Args: config (EasyDict): Object conta
wan/text2video.py:31
Method
__init__
r""" Initializes the Wan text-to-video generation model components. Args: config (EasyDict): Object conta
wan/vace.py:39
Method
__init__
(self, config, checkpoint_dir, use_usp=False,
wan/vace.py:480
Method
__init__
r""" Initializes the image-to-video generation model components. Args: config (EasyDict): Object containi
wan/multitalk.py:107
Method
__init__
(self, name, seq_len=None, clean=None, **kwargs)
wan/modules/tokenizers.py:39
Method
__init__
(self, dim, num_heads, causal=False, attn_
wan/modules/clip.py:55
Method
__init__
(self, dim, mlp_ratio, num_heads, post_nor
wan/modules/clip.py:114
Method
__init__
(self, dim, mlp_ratio, num_heads, activati
wan/modules/clip.py:158
Method
__init__
(self, image_size=224, patch_size=16, dim=768,
wan/modules/clip.py:211
Method
__init__
(self, **kwargs)
wan/modules/clip.py:305
Method
__init__
(self, embed_dim=1024, image_size=224, patch_size=14,
wan/modules/clip.py:330
Method
__init__
(self, dtype, device, checkpoint_path, tokenizer_path)
wan/modules/clip.py:503
Method
__init__
(self, dim, eps=1e-6)
wan/modules/t5.py:60
Method
__init__
(self, dim, dim_attn, num_heads, dropout=0.1)
wan/modules/t5.py:76
Method
__init__
(self, dim, dim_ffn, dropout=0.1)
wan/modules/t5.py:130
Method
__init__
(self, dim, dim_attn, dim_ffn, num_heads,
wan/modules/t5.py:151
Method
__init__
(self, dim, dim_attn, dim_ffn, num_heads,
wan/modules/t5.py:185
Method
__init__
(self, num_buckets, num_heads, bidirectional, max_dist=128)
wan/modules/t5.py:228
Method
__init__
(self, vocab, dim, dim_attn, dim_ffn,
wan/modules/t5.py:274
Method
__init__
(self, vocab, dim, dim_attn, dim_ffn,
wan/modules/t5.py:322
Method
__init__
( self, text_len, dtype=torch.bfloat16, device=torch.cuda.current_device(),
wan/modules/t5.py:479
Method
__init__
(self, *args, **kwargs)
wan/modules/vae.py:22
Method
__init__
(self, dim, channel_first=True, images=True, bias=False)
wan/modules/vae.py:41
Method
__init__
(self, dim, mode)
wan/modules/vae.py:68
Method
__init__
(self, in_dim, out_dim, dropout=0.0)
wan/modules/vae.py:188
Method
__init__
(self, dim)
wan/modules/vae.py:228
Method
__init__
(self, dim=128, z_dim=4, dim_mult=[1, 2, 4, 4],
wan/modules/vae.py:267
Method
__init__
(self, dim=128, z_dim=4, dim_mult=[1, 2, 4, 4],
wan/modules/vae.py:371
Method
__init__
(self, dim=128, z_dim=4, dim_mult=[1, 2, 4, 4],
wan/modules/vae.py:485
Method
__init__
(self, dim, eps=1e-5)
wan/modules/multitalk_model.py:81
Method
__init__
(self, dim, eps=1e-6, elementwise_affine=False)
wan/modules/multitalk_model.py:100
Method
__init__
(self, dim, num_heads, window_size=(-1, -1),
wan/modules/multitalk_model.py:117
Method
__init__
(self, dim, num_heads, window_size=(-1, -1),
wan/modules/multitalk_model.py:177
Method
__init__
(self, cross_attn_type, dim, ffn_dim, num_
wan/modules/multitalk_model.py:218
Method
__init__
(self, in_dim, out_dim)
wan/modules/multitalk_model.py:353
Method
__init__
( self, seq_len=5, seq_len_vf=12, blocks=12, channels=768,
wan/modules/multitalk_model.py:367
Method
__init__
(self, model_type='i2v', patch_size=(1, 2, 2), text_len=512
wan/modules/multitalk_model.py:442
Method
__init__
(self, cross_attn_type, dim, ffn_dim, num_
wan/modules/vace_model.py:12
Method
__init__
(self, cross_attn_type, dim, ffn_dim, num_
wan/modules/vace_model.py:44
Method
__init__
( self, dim: int, encoder_hidden_states_dim: int, num_heads: int, qkv_
wan/modules/attention.py:283
Method
__init__
(self, dim, num_heads, dropout=0.1, eps=1e-5)
wan/modules/xlm_roberta.py:12
Method
__init__
(self, dim, num_heads, post_norm, dropout=0.1, eps=1e-5)
wan/modules/xlm_roberta.py:51
Method
__init__
(self, dim, eps=1e-5)
wan/modules/model.py:75
Method
__init__
(self, dim, eps=1e-6, elementwise_affine=False)
wan/modules/model.py:94
Method
__init__
(self, dim, num_heads, window_size=(-1, -1),
wan/modules/model.py:107
Method
__init__
(self, dim, num_heads, window_size=(-1, -1),
wan/modules/model.py:189
Method
__init__
(self, cross_attn_type, dim, ffn_dim, num_
wan/modules/model.py:240
Method
__init__
(self, in_dim, out_dim, flf_pos_emb=False)
wan/modules/model.py:352
Method
__init__
r""" Initialize the diffusion model backbone. Args: model_type (`str`, *optional*, defaults to 't2v'): Mo
wan/modules/model.py:383
Method
__init__
(self, head_dim, )
wan/utils/multitalk_utils.py:156
Method
__init__
Args: api_key: The API key for Dash Scope authentication and access to related services. model_name: Model name, 'qwe
wan/utils/prompt_extend.py:215
Method
__init__
Args: model_name: Use predefined model names such as 'QwenVL2.5_7B' and 'Qwen2.5_14B', which are specific version
wan/utils/prompt_extend.py:373
Method
__init__
(self, downsample=None, seq_len=None)
wan/utils/vace_processor.py:11
Method
__init__
(self, downsample, min_area, max_area, min_fps, max_fps, zero_start, seq_len, keep_last, **kw
wan/utils/vace_processor.py:93
Method
__init__
( self, num_train_timesteps: int = 1000, solver_order: int = 2, prediction_typ
wan/utils/fm_solvers.py:131
Method
__init__
( self, num_train_timesteps: int = 1000, solver_order: int = 2,
wan/utils/fm_solvers_unipc.py:79
Method
__init__
Initialize a KPipeline. Args: lang_code: Language code for G2P processing model: KModel instance, True to cre
kokoro/pipeline.py:64
Method
__init__
(self, channels, kernel_size=3, dilation=(1, 3, 5), style_dim=64)
kokoro/istftnet.py:35
Method
__init__
(self, filter_length=800, hop_length=200, win_length=800, window='hann')
kokoro/istftnet.py:81
Method
__init__
(self, samp_rate, upsample_scale, harmonic_num=0, sine_amp=0.1, noise_std=0.003,
kokoro/istftnet.py:123
Method
__init__
(self, sampling_rate, upsample_scale, harmonic_num=0, sine_amp=0.1, add_noise_std=0.003, voic
kokoro/istftnet.py:229
Method
__init__
(self, style_dim, resblock_kernel_sizes, upsample_rates, upsample_initial_channel, resblock_dilation_sizes, up
kokoro/istftnet.py:258
Method
__init__
(self, layer_type)
kokoro/istftnet.py:329
Method
__init__
(self, dim_in, dim_out, style_dim=64, actv=nn.LeakyReLU(0.2), upsample='none', dropout_p=0.0)
kokoro/istftnet.py:341
Method
__init__
(self, dim_in, style_dim, dim_out, resblock_kernel_sizes, upsample_rates,
kokoro/istftnet.py:385
Method
__init__
( self, filter_length=800, hop_length=200, win_length=800, window="han
kokoro/custom_stft.py:18
Method
__init__
(self, in_dim, out_dim, bias=True, w_init_gain='linear')
kokoro/modules.py:12
Method
__init__
(self, channels, kernel_size, depth, n_symbols, actv=nn.LeakyReLU(0.2))
kokoro/modules.py:36
Method
__init__
(self, style_dim, channels, eps=1e-5)
kokoro/modules.py:73
Method
__init__
(self, style_dim, d_hid, nlayers, max_dur=50, dropout=0.1)
kokoro/modules.py:92
Method
__init__
(self, sty_dim, d_model, nlayers, dropout=0.1)
kokoro/modules.py:138
Method
__init__
(self, kmodel: KModel)
kokoro/model.py:144
Method
__init__
(self, config: Wav2Vec2Config)
src/audio_analysis/wav2vec2.py:10
Method
__init__
( self, module: qlinear.QLinear, offload_dtype, offload_device, onload
src/vram_management/layers.py:73
Method
__init__
( self, module: torch.nn.Linear, offload_dtype, offload_device, onload
src/vram_management/layers.py:129
Method
__iter__
(self)
kokoro/pipeline.py:352
Method
__len__
(self)
wan/utils/fm_solvers.py:858
Method
__len__
(self)
wan/utils/fm_solvers_unipc.py:801
Method
__len__
(self)
kokoro/pipeline.py:360
Function
_read_video_decord
read video using decord.VideoReader Args: ele (dict): a dict contains the configuration of video. support keys: - vid
wan/utils/qwen_vl_utils.py:221
Function
_read_video_torchvision
read video using torchvision.io.read_video Args: ele (dict): a dict contains the configuration of video. support keys:
wan/utils/qwen_vl_utils.py:177
Method
_sigma_to_t
(self, sigma)
wan/utils/fm_solvers.py:332
Method
_sigma_to_t
(self, sigma)
wan/utils/fm_solvers_unipc.py:271
Method
add_custom_field
(self, key: str, value)
wan/utils/prompt_extend.py:160
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