2 Commits

Author	SHA1	Message	Date
Daniel Bevenius	0ccd7f3eb2	examples : add embd_to_audio to tts-outetts.py [no ci] (#11235) ... This commit contains a suggestion for adding the missing embd_to_audio function from tts.cpp to tts-outetts.py. This introduces a depencency numpy which I was not sure if that is acceptable or not (only PyTorch was mentioned in referened PR). Also the README has been updated with instructions to run the example with llama-server and the python script. Refs: https://github.com/ggerganov/llama.cpp/pull/10784#issuecomment-2548377734	2025-01-15 05:44:38 +01:00
Georgi Gerganov	0bf2d10c55	tts : add OuteTTS support (#10784) ... * server : add "tokens" output ggml-ci * server : output embeddings for all tokens when pooling = none ggml-ci * server : be explicit about the pooling type in the tests ggml-ci * server : do not normalize embeddings when there is no pooling ggml-ci * llama : add OuteTTS support (wip) * wip * extract features * first conv * group norm * resnet conv * resnet * attn * pos net * layer norm * convnext * head * hann window * fix n_embd + remove llama.cpp hacks * compute hann window * fft * spectrum processing * clean-up * tts : receive input text and generate codes * clip : fix new conv name * tts : minor fix * tts : add header + minor fixes ggml-ci * tts : add matchematical constant ggml-ci * tts : fix sampling + cut initial noise * tts : fixes * tts : update default samplers ggml-ci * tts : text pre-processing * tts : outetts-voc -> wavtokenizer-dec * tts : remove hardcoded constants ggml-ci * tts : fix tensor shapes * llama : refactor wavtokenizer tensors ggml-ci * cont ggml-ci * cont [no ci] * llama : update WavTokenizer to non-causal attn * llama : handle no-vocab detokenization * tts : add Python example for OuteTTS (wip) * tts : extend python example to generate spectrogram ggml-ci * server : fix rebase artifacts * tts : enable "return_tokens" in Python example ggml-ci * tts : minor fixes * common : support HF download for vocoder	2024-12-18 19:27:21 +02:00