Functions — github.com/Sygil-Dev/sygil-webui

Method__init__

(self, dim, eps=1e-8)

ldm/modules/x_transformer.py:158

Method__init__

(self, dim)

ldm/modules/x_transformer.py:175

Method__init__

(self, dim_in, dim_out)

ldm/modules/x_transformer.py:191

Method__init__

(self, dim, dim_out=None, mult=4, glu=False, dropout=0.0)

ldm/modules/x_transformer.py:201

Method__init__

( self, dim, dim_head=DEFAULT_DIM_HEAD, heads=8, causal=False,

ldm/modules/x_transformer.py:221

Method__init__

( self, dim, depth, heads=8, causal=False, cross_attend=False,

ldm/modules/x_transformer.py:394

Method__init__

(self, **kwargs)

ldm/modules/x_transformer.py:588

Method__init__

( self, *, num_tokens, max_seq_len, attn_layers, emb_dim=None,

ldm/modules/x_transformer.py:594

Method__init__

(self, dim, dim_out=None, mult=4, glu=False, dropout=0.0)

ldm/modules/attention.py:50

Method__init__

(self, dim, heads=4, dim_head=32)

ldm/modules/attention.py:84

Method__init__

(self, in_channels)

ldm/modules/attention.py:107

Method__init__

(self, query_dim, context_dim=None, heads=8, dim_head=64, dropout=0.0)

ldm/modules/attention.py:152

Method__init__

( self, dim, n_heads, d_head, dropout=0.0, context_dim=None,

ldm/modules/attention.py:269

Method__init__

( self, in_channels, n_heads, d_head, depth=1, dropout=0.0, context_dim=None )

ldm/modules/attention.py:318

Method__init__

( self, spacial_dim: int, embed_dim: int, num_heads_channels: int, out

ldm/modules/diffusionmodules/openaimodel.py:36

Method__init__

(self, channels, out_channels=None, ks=5)

ldm/modules/diffusionmodules/openaimodel.py:128

Method__init__

(self, channels, use_conv, dims=2, out_channels=None, padding=1)

ldm/modules/diffusionmodules/openaimodel.py:150

Method__init__

( self, channels, emb_channels, dropout, out_channels=None, us

ldm/modules/diffusionmodules/openaimodel.py:191

Method__init__

( self, channels, num_heads=1, num_head_channels=-1, use_checkpoint=Fa

ldm/modules/diffusionmodules/openaimodel.py:296

Method__init__

(self, n_heads)

ldm/modules/diffusionmodules/openaimodel.py:365

Method__init__

(self, n_heads)

ldm/modules/diffusionmodules/openaimodel.py:397

Method__init__

( self, image_size, in_channels, model_channels, out_channels,

ldm/modules/diffusionmodules/openaimodel.py:456

Method__init__

( self, image_size, in_channels, model_channels, out_channels,

ldm/modules/diffusionmodules/openaimodel.py:799

Method__init__

(self, noise_schedule_config=None)

ldm/modules/diffusionmodules/upscaling.py:12

Method__init__

(self, noise_schedule_config, max_noise_level=1000, to_cuda=False)

ldm/modules/diffusionmodules/upscaling.py:92

Method__init__

(self, c_concat_config, c_crossattn_config)

ldm/modules/diffusionmodules/util.py:279

Method__init__

(self, in_channels, with_conv)

ldm/modules/diffusionmodules/model.py:46

Method__init__

(self, in_channels, with_conv)

ldm/modules/diffusionmodules/model.py:62

Method__init__

( self, *, in_channels, out_channels=None, conv_shortcut=False,

ldm/modules/diffusionmodules/model.py:82

Method__init__

(self, in_channels)

ldm/modules/diffusionmodules/model.py:156

Method__init__

(self, in_channels)

ldm/modules/diffusionmodules/model.py:161

Method__init__

( self, *, ch, out_ch, ch_mult=(1, 2, 4, 8), num_res_blocks,

ldm/modules/diffusionmodules/model.py:432

Method__init__

( self, *, ch, out_ch, ch_mult=(1, 2, 4, 8), num_res_blocks,

ldm/modules/diffusionmodules/model.py:549

Method__init__

(self, in_channels, out_channels, *args, **kwargs)

ldm/modules/diffusionmodules/model.py:704

Method__init__

( self, in_channels, out_channels, ch, num_res_blocks, resolut

ldm/modules/diffusionmodules/model.py:751

Method__init__

(self, factor, in_channels, mid_channels, out_channels, depth=2)

ldm/modules/diffusionmodules/model.py:809

Method__init__

( self, in_channels, ch, resolution, out_ch, num_res_blocks,

ldm/modules/diffusionmodules/model.py:865

Method__init__

( self, z_channels, out_ch, resolution, num_res_blocks, attn_r

ldm/modules/diffusionmodules/model.py:909

Method__init__

(self, in_size, out_size, in_channels, out_channels, ch_mult=2)

ldm/modules/diffusionmodules/model.py:952

Method__init__

(self, in_channels=None, learned=False, mode="bilinear")

ldm/modules/diffusionmodules/model.py:984

Method__init__

( self, ch_mult: list, in_channels, pretrained_model: nn.Module = None,

ldm/modules/diffusionmodules/model.py:1010

Method__init__

(self, value)

ldm/modules/distributions/distributions.py:14

Method__init__

(self, parameters, deterministic=False)

ldm/modules/distributions/distributions.py:25

Method__init__

(self)

ldm/modules/encoders/modules.py:16

Method__init__

(self, embed_dim, n_classes=1000, key="class")

ldm/modules/encoders/modules.py:24

Method__init__

(self, n_embed, n_layer, vocab_size, max_seq_len=77, device="cuda")

ldm/modules/encoders/modules.py:41

Method__init__

(self, device="cuda", vq_interface=True, max_length=77)

ldm/modules/encoders/modules.py:62

Method__init__

( self, n_stages=1, method="bilinear", multiplier=0.5, in_channels=3,

ldm/modules/encoders/modules.py:134

Method__init__

( self, version="openai/clip-vit-large-patch14", device="cuda", max_length=77 )

ldm/modules/encoders/modules.py:178

Method__init__

( self, version="ViT-L/14", device="cuda", max_length=77, n_repeat=1,

ldm/modules/encoders/modules.py:226

Method__init__

( self, model, jit=False, device="cuda" if torch.cuda.is_available() else "cpu

ldm/modules/encoders/modules.py:266

Method__init__

( self, disc_start, codebook_weight=1.0, pixelloss_weight=1.0, disc_nu

ldm/modules/losses/vqperceptual.py:45

Method__init__

( self, disc_start, logvar_init=0.0, kl_weight=1.0, pixelloss_weight=1

ldm/modules/losses/contperceptual.py:8

Method__init__

(self, model_type)

ldm/modules/midas/api.py:158

Method__init__

(self, start_index=1)

ldm/modules/midas/midas/vit.py:19

Method__init__

(self, in_features, start_index=1)

ldm/modules/midas/midas/vit.py:32

Method__init__

(self, dim0, dim1)

ldm/modules/midas/midas/vit.py:46

Method__init__

Init. Args: path (str, optional): Path to saved model. Defaults to None. features (int, optional): Number of features

ldm/modules/midas/midas/midas_net_custom.py:15

Method__init__

Init. Args: features (int): number of features

ldm/modules/midas/midas/blocks.py:199

Method__init__

Init. Args: features (int): number of features

ldm/modules/midas/midas/blocks.py:237

Method__init__

Init. Args: features (int): number of features

ldm/modules/midas/midas/blocks.py:271

Method__init__

Init. Args: features (int): number of features

ldm/modules/midas/midas/blocks.py:342

Method__init__

Init. Args: width (int): desired output width height (int): desired output height resize_target (bool, op

ldm/modules/midas/midas/transforms.py:51

Method__init__

(self, mean, std)

ldm/modules/midas/midas/transforms.py:199

Method__init__

(self)

ldm/modules/midas/midas/transforms.py:212

Method__init__

Init. Args: path (str, optional): Path to saved model. Defaults to None. features (int, optional): Number of features

ldm/modules/midas/midas/midas_net.py:15

Method__init__

(self, path=None, non_negative=True, **kwargs)

ldm/modules/midas/midas/dpt_depth.py:85

Method__init__

(self, mean, std)

ldm/data/video_dataset.py:19

Method__init__

image_root (string): Root directory of video ann_root (string): directory to store the annotation file

ldm/data/video_dataset.py:35

Method__init__

image_root (string): Root directory of images (e.g. flickr30k/) ann_root (string): directory to store the annotation file

ldm/data/flickr30k_dataset.py:13

Method__init__

image_root (string): Root directory of images (e.g. flickr30k/) ann_root (string): directory to store the annotation file spl

ldm/data/flickr30k_dataset.py:53

Method__init__

(self, transform, image_root, ann_root, split)

ldm/data/nocaps_dataset.py:11

Method__init__

(self, config=None)

ldm/data/imagenet.py:32

Method__init__

(self, process_images=True, data_root=None, **kwargs)

ldm/data/imagenet.py:163

Method__init__

(self, process_images=True, data_root=None, **kwargs)

ldm/data/imagenet.py:234

Method__init__

(self, **kwargs)

ldm/data/imagenet.py:425

Method__init__

(self, **kwargs)

ldm/data/imagenet.py:438

Method__init__

(self, num_records=0, valid_ids=None, size=256)

ldm/data/base.py:10

Method__init__

(self, **kwargs)

ldm/data/lsun.py:64

Method__init__

(self, flip_p=0.0, **kwargs)

ldm/data/lsun.py:73

Method__init__

(self, **kwargs)

ldm/data/lsun.py:83

Method__init__

(self, flip_p=0.0, **kwargs)

ldm/data/lsun.py:92

Method__init__

(self, **kwargs)

ldm/data/lsun.py:102

Method__init__

(self, flip_p=0.0, **kwargs)

ldm/data/lsun.py:109

Method__init__

image_root (string): Root directory of images ann_root (string): directory to store the annotation file split (string): train

ldm/data/nlvr_dataset.py:14

Method__init__

( self, data_root, size=None, repeats=100, interpolation="bicubic",

ldm/data/personalized_file.py:79

Method__init__

( self, data_root, size=None, repeats=100, interpolation="bicubic",

ldm/data/personalized.py:101

Method__init__

image_root (string): Root directory of images (e.g. coco/images/) ann_root (string): directory to store the annotation file

ldm/data/coco_karpathy_dataset.py:13

Method__init__

image_root (string): Root directory of images (e.g. coco/images/) ann_root (string): directory to store the annotation file s

ldm/data/coco_karpathy_dataset.py:53

Method__init__

image_root (string): Root directory of images (e.g. coco/images/) ann_root (string): directory to store the annotation file s

ldm/data/coco_karpathy_dataset.py:87

Method__init__

(self, ann_file, laion_path, transform)

ldm/data/pretrain_dataset.py:17

Method__init__

(self, model_type)

ldm/data/util.py:7

Method__init__

( self, transform, ann_root, vqa_root, vg_root, train_files=[], split="train" )

ldm/data/vqa_dataset.py:13

Method__init__

( self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_

ldm/models/vit.py:51

Method__init__

( self, dim, num_heads, mlp_ratio=4.0, qkv_bias=False, qk_scal

ldm/models/vit.py:112

Method__init__

Args: img_size (int, tuple): input image size patch_size (int, tuple): patch size in_chans (int): number

ldm/models/vit.py:163

Method__init__

Args: med_config (str): path for the mixture of encoder-decoder model's configuration file image_size (int): input im

ldm/models/blip_nlvr.py:14

Method__init__

Args: med_config (str): path for the mixture of encoder-decoder model's configuration file image_size (int): input im

ldm/models/blip_itm.py:11

Method__init__

Args: med_config (str): path for the mixture of encoder-decoder model's configuration file image_size (int): input im

ldm/models/blip_vqa.py:11

Method__init__

(self, config)

ldm/models/nlvr_encoder.py:30

Functions1,943 in github.com/Sygil-Dev/sygil-webui