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Functions867 in github.com/Fanghua-Yu/SUPIR

⨍ Functions 867◇ Types & classes 180↳ Endpoints 12
Method__call__
(self, n, **kwargs)
sgm/lr_scheduler.py:47
Method__call__
(self, n, **kwargs)
sgm/lr_scheduler.py:109
Method__call__
(self, network, denoiser, conditioner, input, batch)
sgm/modules/diffusionmodules/loss.py:39
Method__call__
(self, sigma)
sgm/modules/diffusionmodules/denoiser_weighting.py:4
Method__call__
(self, sigma)
sgm/modules/diffusionmodules/denoiser_weighting.py:12
Method__call__
(self, sigma)
sgm/modules/diffusionmodules/denoiser_weighting.py:22
Method__call__
(self, sigma)
sgm/modules/diffusionmodules/denoiser_scaling.py:8
Method__call__
(self, sigma)
sgm/modules/diffusionmodules/denoiser_scaling.py:17
Method__call__
(self, sigma)
sgm/modules/diffusionmodules/denoiser_scaling.py:26
Method__call__
(self, uncond, cond, scale)
sgm/modules/diffusionmodules/sampling_utils.py:8
Method__call__
(self, n, do_append_zero=True, device="cpu", flip=False)
sgm/modules/diffusionmodules/discretizer.py:18
Method__call__
(self, denoiser, x, cond, uc=None, num_steps=None)
sgm/modules/diffusionmodules/sampling.py:114
Method__call__
(self, denoiser, x, cond, uc=None, num_steps=None)
sgm/modules/diffusionmodules/sampling.py:160
Method__call__
(self, denoiser, x, cond, uc=None, num_steps=None, **kwargs)
sgm/modules/diffusionmodules/sampling.py:189
Method__call__
(self, denoiser, x, cond, uc=None, num_steps=None, **kwargs)
sgm/modules/diffusionmodules/sampling.py:350
Method__call__
(self, denoiser, x, cond, uc=None, num_steps=None, control_scale=1.0, *args, **kwargs)
sgm/modules/diffusionmodules/sampling.py:395
Method__call__
(self, denoiser, x, cond, uc=None, num_steps=None, control_scale=1.0, **kwargs)
sgm/modules/diffusionmodules/sampling.py:486
Method__call__
(self, denoiser, x, cond, uc=None, num_steps=None, x_center=None, control_scale=1.0, use_line
sgm/modules/diffusionmodules/sampling.py:572
Method__call__
(self, denoiser, x, cond, uc=None, num_steps=None, x_center=None, control_scale=1.0, use_line
sgm/modules/diffusionmodules/sampling.py:607
Method__call__
(self, denoiser, x, cond, uc=None, num_steps=None, control_scale=1.0, **kwargs)
sgm/modules/diffusionmodules/sampling.py:670
Method__call__
(self, n_samples, rand=None)
sgm/modules/diffusionmodules/sigma_sampling.py:11
Method__call__
(self, n_samples, rand=None)
sgm/modules/diffusionmodules/sigma_sampling.py:28
Method__call__
(self, network, input, sigma, cond)
sgm/modules/diffusionmodules/denoiser.py:22
Method__call__
(self, network, input, sigma, cond, control_scale)
sgm/modules/diffusionmodules/denoiser.py:67
Method__call__
(self, x, sigma)
sgm/modules/diffusionmodules/guiders.py:25
Method__call__
(self, x, sigma)
sgm/modules/diffusionmodules/guiders.py:59
Method__call__
(self, x, sigma)
sgm/modules/diffusionmodules/guiders.py:79
Method__getattr__
(self, attr)
llava/utils.py:70
Method__getitem__
(self, index)
llava/eval/model_vqa_loader.py:39
Method__getitem__
(self, i)
llava/train/train.py:660
Method__init__
(self, label_nc, norm_nc, mask=False)
SUPIR/modules/SUPIR_v0.py:46
Method__init__
(self, context_dim, query_dim, zero_out=True, mask=False)
SUPIR/modules/SUPIR_v0.py:122
Method__init__
( self, in_channels, model_channels, out_channels, num_res_blocks,
SUPIR/modules/SUPIR_v0.py:156
Method__init__
(self, mode='', project_type='ZeroSFT', project_channel_scale=1, *args, **kwargs)
SUPIR/modules/SUPIR_v0.py:544
Method__init__
(self)
SUPIR/utils/tilevae.py:600
Method__init__
(self, net, tile_size, is_decoder, fast_decoder, fast_encoder, color_fix, to_gpu=False)
SUPIR/utils/tilevae.py:678
Method__init__
(self, upscale_factor, face_size=512, crop_ratio=(1, 1),
SUPIR/utils/face_restoration_helper.py:52
Method__init__
(self, control_stage_config, ae_dtype='fp32', diffusion_dtype='fp32', p_p='', n_p='', *args, **kwargs)
SUPIR/models/SUPIR_model.py:13
Method__init__
(self, logger, log_level=logging.INFO)
llava/utils.py:64
Method__init__
(self, model_path, device='cuda', conv_mode='vicuna_v1', load_8bit=False, load_4bit=False)
llava/llava_agent.py:19
Method__init__
(self, keywords, tokenizer, input_ids)
llava/mm_utils.py:77
Method__init__
(self, controller_addr, worker_addr, worker_id, no_register, model_path, mod
llava/serve/model_worker.py:45
Method__init__
(self, dispatch_method: str)
llava/serve/controller.py:58
Method__init__
(self, config)
llava/model/llava_arch.py:29
Method__init__
(self, config)
llava/model/language_model/llava_llama.py:44
Method__init__
(self, config)
llava/model/language_model/llava_mpt.py:49
Method__init__
(self, d_model: int, n_heads: int, expansion_ratio: int, attn_config: Dict={'attn_type': 'multihead_attention'
llava/model/language_model/mpt/blocks.py:22
Method__init__
(self, config: MPTConfig)
llava/model/language_model/mpt/modeling_mpt.py:234
Method__init__
The MPT configuration class. Args: d_model (int): The size of the embedding dimension of the model. n_heads (int): Th
llava/model/language_model/mpt/configuration_mpt.py:10
Method__init__
(self, normalized_shape, eps=1e-05, elementwise_affine=True, device=None, dtype=None)
llava/model/language_model/mpt/norm.py:16
Method__init__
(self, normalized_shape, eps=1e-05, weight=True, dtype=None, device=None)
llava/model/language_model/mpt/norm.py:48
Method__init__
(self, d_model: int, n_heads: int, attn_impl: str='triton', clip_qkv: Optional[float]=None, qk_ln: bool=False,
llava/model/language_model/mpt/attention.py:211
Method__init__
(self, channels)
llava/model/multimodal_projector/builder.py:19
Method__init__
(self, vision_tower, args, delay_load=False)
llava/model/multimodal_encoder/clip_encoder.py:9
Method__init__
(self, questions, image_folder, tokenizer, image_processor, model_config)
llava/eval/model_vqa_loader.py:32
Method__init__
(self, *args, **kwargs)
llava/eval/m4c_evaluator.py:178
Method__init__
(self)
llava/eval/m4c_evaluator.py:222
Method__init__
(self)
llava/eval/m4c_evaluator.py:261
Method__init__
(self)
llava/eval/m4c_evaluator.py:277
Method__init__
(self)
llava/eval/m4c_evaluator.py:302
Method__init__
(self, keywords, tokenizer, input_ids)
llava/eval/model_qa.py:15
Method__init__
(self, data_path: str, tokenizer: transformers.PreTrainedTokenizer, data_arg
llava/train/train.py:629
Method__init__
( self, batch_size: int, world_size: int, lengths: Optional[List[int]] = None,
llava/train/llava_trainer.py:104
Method__init__
( self, warm_up_steps, lr_min, lr_max, lr_start, max_decay_ste
sgm/lr_scheduler.py:9
Method__init__
( self, warm_up_steps, f_min, f_max, f_start, cycle_lengths, verbosity_interval=0 )
sgm/lr_scheduler.py:57
Method__init__
(self, model, decay=0.9999, use_num_upates=True)
sgm/modules/ema.py:6
Method__init__
(self, dim, dim_out=None, mult=4, glu=False, dropout=0.0)
sgm/modules/attention.py:95
Method__init__
(self, dim, heads=4, dim_head=32)
sgm/modules/attention.py:129
Method__init__
(self, in_channels)
sgm/modules/attention.py:152
Method__init__
( self, query_dim, context_dim=None, heads=8, dim_head=64, dro
sgm/modules/attention.py:197
Method__init__
( self, query_dim, context_dim=None, heads=8, dim_head=64, dropout=0.0, **kwargs )
sgm/modules/attention.py:290
Method__init__
( self, dim, n_heads, d_head, dropout=0.0, context_dim=None,
sgm/modules/attention.py:382
Method__init__
( self, dim, n_heads, d_head, dropout=0.0, context_dim=None,
sgm/modules/attention.py:496
Method__init__
( self, in_channels, n_heads, d_head, depth=1, dropout=0.0,
sgm/modules/attention.py:543
Method__init__
( self, sigma_sampler_config, type="l2", offset_noise_level=0.0, batch
sgm/modules/diffusionmodules/loss.py:12
Method__init__
(self, sigma_data=0.5)
sgm/modules/diffusionmodules/denoiser_weighting.py:9
Method__init__
(self)
sgm/modules/diffusionmodules/denoiser_weighting.py:17
Method__init__
( self, spacial_dim: int, embed_dim: int, num_heads_channels: int, out
sgm/modules/diffusionmodules/openaimodel.py:42
Method__init__
( self, channels, use_conv, dims=2, out_channels=None, padding=1, third_up=False )
sgm/modules/diffusionmodules/openaimodel.py:117
Method__init__
(self, channels, out_channels=None, ks=5)
sgm/modules/diffusionmodules/openaimodel.py:157
Method__init__
( self, channels, use_conv, dims=2, out_channels=None, padding=1, third_down=False )
sgm/modules/diffusionmodules/openaimodel.py:179
Method__init__
( self, channels, emb_channels, dropout, out_channels=None, us
sgm/modules/diffusionmodules/openaimodel.py:229
Method__init__
( self, channels, num_heads=1, num_head_channels=-1, use_checkpoint=Fa
sgm/modules/diffusionmodules/openaimodel.py:366
Method__init__
(self, n_heads)
sgm/modules/diffusionmodules/openaimodel.py:436
Method__init__
(self, n_heads)
sgm/modules/diffusionmodules/openaimodel.py:468
Method__init__
(self, dim)
sgm/modules/diffusionmodules/openaimodel.py:498
Method__init__
( self, in_channels, model_channels, out_channels, num_res_blocks,
sgm/modules/diffusionmodules/openaimodel.py:536
Method__init__
( self, image_size, in_channels, model_channels, out_channels,
sgm/modules/diffusionmodules/openaimodel.py:1028
Method__init__
(self, sigma_data=0.5)
sgm/modules/diffusionmodules/denoiser_scaling.py:5
Method__init__
( self, linear_start=0.00085, linear_end=0.0120, num_timesteps=1000, )
sgm/modules/diffusionmodules/discretizer.py:43
Method__init__
( self, discretization_config: Union[Dict, ListConfig, OmegaConf], num_steps: Union[in
sgm/modules/diffusionmodules/sampling.py:26
Method__init__
(self, eta=1.0, s_noise=1.0, *args, **kwargs)
sgm/modules/diffusionmodules/sampling.py:139
Method__init__
( self, order=4, *args, **kwargs, )
sgm/modules/diffusionmodules/sampling.py:179
Method__init__
(self, s_churn=0.0, s_tmin=0.0, s_tmax=float("inf"), s_noise=1.0, restore_cfg=4.0, restore_cfg_s_t
sgm/modules/diffusionmodules/sampling.py:372
Method__init__
(self, s_churn=0.0, s_tmin=0.0, s_tmax=float("inf"), s_noise=1.0, restore_cfg=4.0, restore_cfg_s_t
sgm/modules/diffusionmodules/sampling.py:423
Method__init__
( self, s_churn=0.0, s_tmin=0.0, s_tmax=float("inf"), s_noise=1.0, restore_cfg=4.0, restor
sgm/modules/diffusionmodules/sampling.py:529
Method__init__
(self, tile_size=128, tile_stride=64, *args, **kwargs)
sgm/modules/diffusionmodules/sampling.py:601
Method__init__
(self, tile_size=128, tile_stride=64, *args, **kwargs)
sgm/modules/diffusionmodules/sampling.py:664
Method__init__
(self, p_mean=-1.2, p_std=1.2)
sgm/modules/diffusionmodules/sigma_sampling.py:7
Method__init__
(self, discretization_config, num_idx, do_append_zero=False, flip=True, idx_range=None)
sgm/modules/diffusionmodules/sigma_sampling.py:17
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