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Functions216 in github.com/deepseek-ai/Janus

⨍ Functions 216◇ Types & classes 61↳ Endpoints 2
Method__init__
( self, dim: int, num_heads: int = 8, qkv_bias: bool = False, qk_norm:
janus/janusflow/models/siglip_vit.py:139
Method__init__
( self, dim: int, init_values: float = 1e-5, inplace: bool = False, )
janus/janusflow/models/siglip_vit.py:195
Method__init__
Args: img_size: Input image size. patch_size: Patch size. in_chans: Number of image input channels.
janus/janusflow/models/siglip_vit.py:268
Method__init__
( self, model_name: str = "siglip_large_patch16_384", image_size: Union[Tuple[int, int
janus/janusflow/models/clip_encoder.py:31
Method__init__
( self, image_size: int, min_size: int = 14, image_mean: Union[Tuple[float, fl
janus/models/image_processing_vlm.py:64
Method__init__
( self, z_channels=256, ch=128, ch_mult=(1, 1, 2, 2, 4), num_res_block
janus/models/vq_model.py:128
Method__init__
(self, n_e, e_dim, beta, entropy_loss_ratio, l2_norm, show_usage)
janus/models/vq_model.py:218
Method__init__
( self, in_channels, out_channels=None, conv_shortcut=False, dropout=0
janus/models/vq_model.py:303
Method__init__
(self, in_channels, norm_type="group")
janus/models/vq_model.py:356
Method__init__
(self, in_channels, with_conv)
janus/models/vq_model.py:409
Method__init__
(self, in_channels, with_conv)
janus/models/vq_model.py:431
Method__init__
(self, config: ModelArgs)
janus/models/vq_model.py:467
Method__init__
(self, **kwargs)
janus/models/modeling_vlm.py:78
Method__init__
(self, **kwargs)
janus/models/modeling_vlm.py:93
Method__init__
(self, **kwargs)
janus/models/modeling_vlm.py:108
Method__init__
(self, **kwargs)
janus/models/modeling_vlm.py:123
Method__init__
(self, **kwargs)
janus/models/modeling_vlm.py:138
Method__init__
(self, **kwargs)
janus/models/modeling_vlm.py:159
Method__init__
(self, config: MultiModalityConfig)
janus/models/modeling_vlm.py:191
Method__init__
( self, image_processor: VLMImageProcessor, tokenizer: LlamaTokenizerFast, ima
janus/models/processing_vlm.py:84
Method__init__
( self, dim: int, num_heads: int = 8, qkv_bias: bool = False, qk_norm:
janus/models/siglip_vit.py:139
Method__init__
( self, dim: int, init_values: float = 1e-5, inplace: bool = False, )
janus/models/siglip_vit.py:195
Method__init__
Args: img_size: Input image size. patch_size: Patch size. in_chans: Number of image input channels.
janus/models/siglip_vit.py:268
Method__init__
( self, model_name: str = "siglip_large_patch16_384", image_size: Union[Tuple[int, int
janus/models/clip_encoder.py:31
Method__init__
(self, cfg)
janus/models/projector.py:28
Method__len__
(self)
janus/janusflow/models/processing_vlm.py:50
Method__len__
(self)
janus/models/processing_vlm.py:50
Method__setitem__
(self, key, value)
janus/janusflow/models/processing_vlm.py:39
Method__setitem__
(self, key, value)
janus/models/processing_vlm.py:39
Methoddefault_shape
(self)
janus/janusflow/models/image_processing_vlm.py:195
Methoddefault_shape
(self)
janus/models/image_processing_vlm.py:195
Methoddict
(self)
janus/utils/conversation.py:211
Methodforward
( self, input_args, images_split_mask: Optional[torch.BoolTensor] = None, **kwargs )
janus/janusflow/models/uvit.py:105
Methodforward
(self, x)
janus/janusflow/models/uvit.py:144
Methodforward
(self, hidden_states: torch.Tensor, *args, **kwargs)
janus/janusflow/models/uvit.py:219
Methodforward
( self, hidden_states: torch.Tensor, output_size: Optional[int] = None, *args,
janus/janusflow/models/uvit.py:318
Methodforward
(self, x, cond_embeds)
janus/janusflow/models/uvit.py:405
Methodforward
(self, x)
janus/janusflow/models/uvit.py:453
Methodforward
(self, x)
janus/janusflow/models/uvit.py:476
Methodforward
(self, x, emb, recompute=False)
janus/janusflow/models/uvit.py:559
Methodforward
(self, x, timesteps)
janus/janusflow/models/uvit.py:628
Methodforward
(self, x, hs, t_emb)
janus/janusflow/models/uvit.py:702
Methodforward
(self, x: torch.Tensor)
janus/janusflow/models/siglip_vit.py:164
Methodforward
(self, x: torch.Tensor)
janus/janusflow/models/siglip_vit.py:205
Methodforward
(self, x: torch.Tensor)
janus/janusflow/models/siglip_vit.py:253
Methodforward
(self, x: torch.Tensor)
janus/janusflow/models/siglip_vit.py:585
Methodforward
Args: images (torch.Tensor): [b, 3, H, W] Returns: image_features (torch.Tensor): [b, n_patch, d]
janus/janusflow/models/clip_encoder.py:107
Methodforward
(self, x)
janus/models/vq_model.py:105
Methodforward
(self, z)
janus/models/vq_model.py:193
Methodforward
(self, z)
janus/models/vq_model.py:236
Methodforward
(self, x)
janus/models/vq_model.py:337
Methodforward
(self, x)
janus/models/vq_model.py:366
Methodforward
(self, x)
janus/models/vq_model.py:417
Methodforward
(self, x)
janus/models/vq_model.py:440
Methodforward
(self, input)
janus/models/vq_model.py:510
Methodforward
(self, x)
janus/models/modeling_vlm.py:47
Methodforward
(self, x: torch.Tensor)
janus/models/siglip_vit.py:164
Methodforward
(self, x: torch.Tensor)
janus/models/siglip_vit.py:205
Methodforward
(self, x: torch.Tensor)
janus/models/siglip_vit.py:253
Methodforward
(self, x: torch.Tensor)
janus/models/siglip_vit.py:585
Methodforward
Args: images (torch.Tensor): [b, 3, H, W] Returns: image_features (torch.Tensor): [b, n_patch, d]
janus/models/clip_encoder.py:107
Methodforward
Args: x_or_tuple (Union[Tuple[torch.Tensor, torch.Tensor], torch.Tensor]: if it is a tuple of torch.Tensor, the
janus/models/projector.py:63
Functiongenerate_image
(prompt, seed=None, guidance=5, t2i_temperature=1.0)
demo/app_januspro.py:136
Functiongenerate_image
(prompt, seed=None, guidance=5, num_inference_steps=3
demo/app_janusflow.py:152
Functiongenerate_image
(prompt, seed=None, guidance=5)
demo/app.py:122
Functiongenerate_images
( prompt: str = Form(...), seed: int = Form(None), guidance: float = Form(5.0), )
demo/fastapi_app.py:156
Methodget_classifier
(self)
janus/janusflow/models/siglip_vit.py:458
Methodget_classifier
(self)
janus/models/siglip_vit.py:458
Methodget_intermediate_layers
Intermediate layer accessor (NOTE: This is a WIP experiment). Inspired by DINO / DINOv2 interface
janus/janusflow/models/siglip_vit.py:531
Methodget_intermediate_layers
Intermediate layer accessor (NOTE: This is a WIP experiment). Inspired by DINO / DINOv2 interface
janus/models/siglip_vit.py:531
Methodget_num_extra_tensors
(self)
janus/janusflow/models/uvit.py:625
Methodget_prompt_for_current_round
Get current round formatted question prompt during sft training
janus/utils/conversation.py:141
Methodgroup_matcher
(self, coarse: bool = False)
janus/janusflow/models/siglip_vit.py:447
Methodgroup_matcher
(self, coarse: bool = False)
janus/models/siglip_vit.py:447
Methodimage_end_id
(self)
janus/janusflow/models/processing_vlm.py:216
Methodimage_end_id
(self)
janus/models/processing_vlm.py:194
Methodimage_end_token
(self)
janus/janusflow/models/processing_vlm.py:225
Methodimage_end_token
(self)
janus/models/processing_vlm.py:203
Methodimage_gen_id
(self)
janus/janusflow/models/processing_vlm.py:237
Methodimage_id
(self)
janus/janusflow/models/processing_vlm.py:206
Methodimage_id
(self)
janus/models/processing_vlm.py:184
Methodimage_start_id
(self)
janus/janusflow/models/processing_vlm.py:211
Methodimage_start_id
(self)
janus/models/processing_vlm.py:189
Methodimage_start_token
(self)
janus/janusflow/models/processing_vlm.py:221
Methodimage_start_token
(self)
janus/models/processing_vlm.py:199
Methodimage_token
(self)
janus/janusflow/models/processing_vlm.py:202
Methodimage_token
(self)
janus/models/processing_vlm.py:180
Functioninit_weights
(self)
janus/janusflow/models/siglip_vit.py:120
Functioninit_weights
(self)
janus/models/siglip_vit.py:120
Functioninit_weights_vit_timm
ViT weight initialization, original timm impl (for reproducibility)
janus/janusflow/models/siglip_vit.py:126
Functioninit_weights_vit_timm
ViT weight initialization, original timm impl (for reproducibility)
janus/models/siglip_vit.py:126
Methodlast_layer
(self)
janus/models/vq_model.py:190
Functionload_json
(filepath)
janus/utils/io.py:86
Functionload_pretrained_model
(model_path: str)
janus/utils/io.py:32
Functionmultimodal_understanding
(image, question, seed, top_p, temperature)
demo/app_januspro.py:34
Functionmultimodal_understanding
(image, question, seed, top_p, temperature)
demo/app_janusflow.py:25
Functionmultimodal_understanding
(image, question, seed, top_p, temperature)
demo/app.py:26
Methodnew_chat_template
(self)
janus/janusflow/models/processing_vlm.py:154
Methodnew_chat_template
(self)
janus/models/processing_vlm.py:132
Methodno_weight_decay
(self)
janus/janusflow/models/siglip_vit.py:443
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