SillyTavern-Extras
[OBSOLETE] Extensions API for SillyTavern.
파일 탐색기
최종 버전 다운로드 (.zip)- .placeholder
- .placeholder
- .placeholder
- docker-compose.yml
- Dockerfile
- readme.md
- classify_module.py
- faster_whisper_module.py
- streaming_module.py
- vosk_module.py
- whisper_module.py
- coqui_module.py
- __init__.py
- concataugment.py
- noisyoverlapaugment.py
- __init__.py
- delta_deltas.py
- global_cmvn.py
- specaugment.py
- utterance_cmvn.py
- __init__.py
- noiseaugment.py
- __init__.py
- audio_utils.py
- data_cfg.py
- frm_text_to_speech_dataset.py
- hubert_dataset.py
- multi_modality_dataset.py
- raw_audio_dataset.py
- speech_to_speech_dataset.py
- speech_to_text_dataset.py
- speech_to_text_joint_dataset.py
- text_to_speech_dataset.py
- __init__.py
- byte_bpe.py
- byte_utils.py
- bytes.py
- characters.py
- fastbpe.py
- gpt2_bpe.py
- gpt2_bpe_utils.py
- hf_bert_bpe.py
- hf_byte_bpe.py
- moses_tokenizer.py
- nltk_tokenizer.py
- sentencepiece_bpe.py
- space_tokenizer.py
- subword_nmt_bpe.py
- utils.py
- __init__.py
- huffman_coder.py
- huffman_mmap_indexed_dataset.py
- __init__.py
- block_pair_dataset.py
- masked_lm_dataset.py
- masked_lm_dictionary.py
- __init__.py
- multilingual_data_manager.py
- multilingual_utils.py
- sampled_multi_dataset.py
- sampled_multi_epoch_dataset.py
- sampling_method.py
- __init__.py
- add_target_dataset.py
- append_token_dataset.py
- backtranslation_dataset.py
- base_wrapper_dataset.py
- bucket_pad_length_dataset.py
- codedataset.py
- colorize_dataset.py
- concat_dataset.py
- concat_sentences_dataset.py
- data_utils.py
- data_utils_fast.pyx
- denoising_dataset.py
- dictionary.py
- fairseq_dataset.py
- fasta_dataset.py
- id_dataset.py
- indexed_dataset.py
- iterators.py
- language_pair_dataset.py
- list_dataset.py
- lm_context_window_dataset.py
- lru_cache_dataset.py
- mask_tokens_dataset.py
- monolingual_dataset.py
- multi_corpus_dataset.py
- multi_corpus_sampled_dataset.py
- nested_dictionary_dataset.py
- noising.py
- num_samples_dataset.py
- numel_dataset.py
- offset_tokens_dataset.py
- pad_dataset.py
- plasma_utils.py
- prepend_dataset.py
- prepend_token_dataset.py
- raw_label_dataset.py
- replace_dataset.py
- resampling_dataset.py
- roll_dataset.py
- round_robin_zip_datasets.py
- shorten_dataset.py
- sort_dataset.py
- span_mask_tokens_dataset.py
- strip_token_dataset.py
- subsample_dataset.py
- text_compressor.py
- token_block_dataset.py
- token_block_utils_fast.pyx
- transform_eos_concat_langpair_dataset.py
- transform_eos_dataset.py
- transform_eos_lang_pair_dataset.py
- __init__.py
- configs.py
- constants.py
- initialize.py
- utils.py
- __init__.py
- distributed_timeout_wrapper.py
- fully_sharded_data_parallel.py
- legacy_distributed_data_parallel.py
- module_proxy_wrapper.py
- tpu_distributed_data_parallel.py
- utils.py
- __init__.py
- meters.py
- metrics.py
- progress_bar.py
- __init__.py
- hub_interface.py
- model.py
- __init__.py
- ema.py
- __init__.py
- hubert.py
- hubert_asr.py
- __init__.py
- hf_gpt2.py
- __init__.py
- cmlm_transformer.py
- fairseq_nat_model.py
- insertion_transformer.py
- iterative_nonautoregressive_transformer.py
- levenshtein_transformer.py
- levenshtein_utils.py
- nat_crf_transformer.py
- nonautoregressive_ensembles.py
- nonautoregressive_transformer.py
- __init__.py
- alignment_utils.py
- enc_dec.py
- hub_interface.py
- model.py
- model_camembert.py
- model_gottbert.py
- model_xlmr.py
- __init__.py
- ctc_decoder.py
- stacked_embedding.py
- transformer_decoder_aug.py
- transformer_encoder.py
- __init__.py
- s2s_conformer.py
- s2s_conformer_translatotron2.py
- s2s_conformer_unity.py
- s2s_transformer.py
- __init__.py
- augmented_memory_attention.py
- convolution.py
- emformer.py
- __init__.py
- berard.py
- convtransformer.py
- hub_interface.py
- multi_modality_model.py
- s2t_conformer.py
- s2t_transformer.py
- s2t_wav_transformer.py
- utils.py
- xm_transformer.py
- xm_transformer_unity.py
- __init__.py
- codehifigan.py
- fastspeech2.py
- hifigan.py
- hub_interface.py
- tacotron2.py
- tts_transformer.py
- vocoder.py
- __init__.py
- transformer_base.py
- transformer_config.py
- transformer_decoder.py
- transformer_decoder_aug.py
- transformer_encoder.py
- transformer_legacy.py
- __init__.py
- utils.py
- wav2vec.py
- wav2vec2.py
- wav2vec2_asr.py
- __init__.py
- hub_interface.py
- model.py
- transformer_layer_xmod.py
- __init__.py
- composite_encoder.py
- distributed_fairseq_model.py
- fairseq_decoder.py
- fairseq_encoder.py
- fairseq_incremental_decoder.py
- fairseq_model.py
- fconv.py
- fconv_lm.py
- fconv_self_att.py
- lightconv.py
- lightconv_lm.py
- lstm.py
- lstm_lm.py
- masked_lm.py
- model_utils.py
- multilingual_transformer.py
- transformer_align.py
- transformer_from_pretrained_xlm.py
- transformer_lm.py
- transformer_ulm.py
- __init__.py
- cuda_function_gen.py
- dynamicconv_cuda.cpp
- dynamicconv_cuda.cuh
- dynamicconv_cuda_kernel.cu
- dynamicconv_layer.py
- dynamiconv_cpu.cpp
- setup.py
- __init__.py
- cuda_function_gen.py
- lightconv_cuda.cpp
- lightconv_cuda.cuh
- lightconv_cuda_kernel.cu
- lightconv_layer.py
- setup.py
- __init__.py
- qconv.py
- qemb.py
- qlinear.py
- __init__.py
- em.py
- pq.py
- utils.py
- __init__.py
- qact.py
- qconv.py
- qemb.py
- qlinear.py
- __init__.py
- ops.py
- utils.py
- __init__.py
- quantization_options.py
- __init__.py
- adaptive_input.py
- adaptive_softmax.py
- base_layer.py
- beamable_mm.py
- character_token_embedder.py
- checkpoint_activations.py
- conformer_layer.py
- conv_tbc.py
- cross_entropy.py
- cuda_utils.cu
- downsampled_multihead_attention.py
- dynamic_convolution.py
- dynamic_crf_layer.py
- ema_module.py
- espnet_multihead_attention.py
- fairseq_dropout.py
- fp32_batch_norm.py
- fp32_group_norm.py
- fp32_instance_norm.py
- gelu.py
- grad_multiply.py
- gumbel_vector_quantizer.py
- kmeans_attention.py
- kmeans_vector_quantizer.py
- layer_drop.py
- layer_norm.py
- learned_positional_embedding.py
- lightweight_convolution.py
- linearized_convolution.py
- location_attention.py
- lstm_cell_with_zoneout.py
- multihead_attention.py
- positional_embedding.py
- positional_encoding.py
- quant_noise.py
- rotary_positional_embedding.py
- same_pad.py
- scalar_bias.py
- sinusoidal_positional_embedding.py
- sparse_multihead_attention.py
- sparse_transformer_sentence_encoder.py
- sparse_transformer_sentence_encoder_layer.py
- transformer_layer.py
- transformer_layer_aug.py
- transformer_sentence_encoder.py
- transformer_sentence_encoder_layer.py
- transpose_last.py
- unfold.py
- vggblock.py
- __init__.py
- cosine_lr_scheduler.py
- fairseq_lr_scheduler.py
- fixed_schedule.py
- inverse_square_root_schedule.py
- manual_lr_scheduler.py
- pass_through.py
- polynomial_decay_schedule.py
- reduce_lr_on_plateau.py
- step_lr_scheduler.py
- tri_stage_lr_scheduler.py
- triangular_lr_scheduler.py
- __init__.py
- adadelta.py
- adafactor.py
- adagrad.py
- adam.py
- adamax.py
- amp_optimizer.py
- bmuf.py
- composite.py
- cpu_adam.py
- dynamic_loss_scaler.py
- fairseq_optimizer.py
- fp16_optimizer.py
- fused_adam.py
- fused_lamb.py
- nag.py
- sgd.py
- shard.py
- __init__.py
- audio_finetuning.py
- audio_pretraining.py
- cross_lingual_lm.py
- denoising.py
- fairseq_task.py
- frm_text_to_speech.py
- hubert_pretraining.py
- language_modeling.py
- legacy_masked_lm.py
- masked_lm.py
- multilingual_denoising.py
- multilingual_language_modeling.py
- multilingual_masked_lm.py
- multilingual_translation.py
- nlu_finetuning.py
- online_backtranslation.py
- semisupervised_translation.py
- sentence_prediction.py
- sentence_prediction_adapters.py
- sentence_ranking.py
- simultaneous_translation.py
- span_masked_lm.py
- speech_to_speech.py
- speech_to_text.py
- speech_ulm_task.py
- text_to_speech.py
- translation.py
- translation_from_pretrained_bart.py
- translation_from_pretrained_xlm.py
- translation_lev.py
- translation_multi_simple_epoch.py
- __init__.py
- binarizer.py
- checkpoint_utils.py
- file_chunker_utils.py
- file_io.py
- file_utils.py
- hub_utils.py
- incremental_decoding_utils.py
- iterative_refinement_generator.py
- LICENSE
- nan_detector.py
- ngram_repeat_block.py
- options.py
- pdb.py
- quantization_utils.py
- registry.py
- search.py
- sequence_generator.py
- sequence_scorer.py
- speech_generator.py
- token_generation_constraints.py
- tokenizer.py
- trainer.py
- utils.py
- version.txt
- hubert_manager.py
- attentions.py
- commons.py
- models.py
- modules.py
- transforms.py
- custom_pitch_extraction.py
- LICENSE
- rmvpe.py
- rvc.py
- vc_infer_pipeline.py
- rvc_module.py
- script.py
- utils.py
- _defaults.json
- admiration.json
- admiration.png
- amusement.json
- amusement.png
- anger.json
- anger.png
- annoyance.json
- annoyance.png
- approval.json
- approval.png
- caring.json
- caring.png
- confusion.json
- confusion.png
- curiosity.json
- curiosity.png
- desire.json
- desire.png
- disappointment.json
- disappointment.png
- disapproval.json
- disapproval.png
- disgust.json
- disgust.png
- embarrassment.json
- embarrassment.png
- excitement.json
- excitement.png
- fear.json
- fear.png
- gratitude.json
- gratitude.png
- grief.json
- grief.png
- joy.json
- joy.png
- love.json
- love.png
- nervousness.json
- nervousness.png
- neutral.json
- neutral.png
- optimism.json
- optimism.png
- pride.json
- pride.png
- realization.json
- realization.png
- relief.json
- relief.png
- remorse.json
- remorse.png
- sadness.json
- sadness.png
- surprise.json
- surprise.png
- __init__.py
- app.py
- manual_poser.py
- postprocessor.py
- util.py
- __init__.py
- cached_computation_func.py
- cached_computation_protocol.py
- CC-BY-NC.txt
- example.png
- inital.png
- input_spec.png
- README.md
- __init__.py
- module_factory.py
- __init__.py
- conv_block_factory.py
- poser_args.py
- poser_encoder_decoder_00.py
- poser_encoder_decoder_00_separable.py
- resize_conv_encoder_decoder.py
- resize_conv_unet.py
- __init__.py
- editor_07.py
- __init__.py
- eyebrow_decomposer_00.py
- eyebrow_decomposer_03.py
- __init__.py
- eyebrow_morphing_combiner_00.py
- eyebrow_morphing_combiner_03.py
- __init__.py
- face_morpher_08.py
- face_morpher_09.py
- __init__.py
- two_algo_face_body_rotator_05.py
- __init__.py
- conv.py
- image_processing_util.py
- init_function.py
- nonlinearity_factory.py
- normalization.py
- pass_through.py
- resnet_block.py
- resnet_block_seperable.py
- separable_conv.py
- spectral_norm.py
- util.py
- __init__.py
- load_poser.py
- pose_parameters.py
- separable_float.py
- separable_half.py
- standard_float.py
- standard_half.py
- __init__.py
- general_poser_02.py
- poser.py
- __init__.py
- util.py
- animator.json
- Character_Card_Guide.png
- README.md
- start_manual_poser.sh
- TODO.md
- .editorconfig
- .gitignore
- api_key.txt
- constants.py
- LICENSE
- modules.txt
- README.md
- requirements-coqui.txt
- requirements-faster-whisper.txt
- requirements-rocm.txt
- requirements-rvc.txt
- requirements-silicon.txt
- requirements.txt
- server.py
- start.sh
- tts_edge.py
# 설치 가이드
1. 코드 내려받기
git clone https://github.com/SillyTavern/SillyTavern-Extras
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd SillyTavern-Extras
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
2. 공식 설치 스크립트
쉬움 추천pip install wxpython==4.2.1
PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.
brew install --build-from-source mecab
Homebrew로 이미 빌드된 패키지를 바로 설치합니다. 소스 빌드가 필요 없습니다.
설치 후 새 터미널을 열고, 프로그램의 버전 확인 명령(예: --version)으로 정상 설치됐는지 확인하세요.
이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.
3. Docker
쉬움사전 준비물
- Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
- Docker Desktop 컨테이너를 빌드하고 실행하려면 필요합니다. 설치 후 실행해서 백그라운드에 켜두세요.
docker compose -f docker/docker-compose.yml up -d --build
compose 설정 파일에 정의된 서비스들을 대상으로 명령을 실행합니다.
터미널에 docker compose ps 를 입력해 컨테이너들이 Up 상태인지 확인하세요. README에 포트 번호가 적혀있다면 브라우저에서 http://localhost:포트번호 로 접속해보세요.
4. Python
쉬움사전 준비물
pip install -r requirements.txt
requirements.txt 등에 명시된 파이썬 라이브러리를 설치합니다.
pip install wxpython==4.2.1
PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.
pip install -r requirements-faster-whisper.txt
requirements.txt 등에 명시된 파이썬 라이브러리를 설치합니다.
ARCHFLAGS='-arch arm64' pip install --no-binary :all: --compile --use-pep517 --no-cache-dir --force mecab-python3
requirements.txt 등에 명시된 파이썬 라이브러리를 설치합니다.
에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.
이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.
// repository documentation
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