typetext
{
"custom_split_words": "",
"gen_text": "captain teemo, on duty!",
"ref_audio": "https://replicate.delivery/pbxt/LnHEJTVWhjLcpGQJTBralyztLwl8diaLyHjP2a1KXJ8dxVWv/Teemo_Original_Taunt.ogg",
"ref_text": "never underestimate the power of the scout's code",
"remove_silence": true
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_F8f**********************************
This is your API token. Keep it to yourself.
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run x-lance/f5-tts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"x-lance/f5-tts:105be14651de914ba4dab6bf0fb0cc5d763802e347f1ea8f5f71adc118448a48",
{
input: {
custom_split_words: "",
gen_text: "captain teemo, on duty!",
ref_audio: "https://replicate.delivery/pbxt/LnHEJTVWhjLcpGQJTBralyztLwl8diaLyHjP2a1KXJ8dxVWv/Teemo_Original_Taunt.ogg",
ref_text: "never underestimate the power of the scout's code",
remove_silence: true
}
}
);
// To access the file URL:
console.log(output.url()); //=> "http://example.com"
// To write the file to disk:
fs.writeFile("my-image.png", output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_F8f**********************************
This is your API token. Keep it to yourself.
import replicate
Run x-lance/f5-tts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"x-lance/f5-tts:105be14651de914ba4dab6bf0fb0cc5d763802e347f1ea8f5f71adc118448a48",
input={
"custom_split_words": "",
"gen_text": "captain teemo, on duty!",
"ref_audio": "https://replicate.delivery/pbxt/LnHEJTVWhjLcpGQJTBralyztLwl8diaLyHjP2a1KXJ8dxVWv/Teemo_Original_Taunt.ogg",
"ref_text": "never underestimate the power of the scout's code",
"remove_silence": True
}
)
# To access the file URL:
print(output.url())
#=> "http://example.com"
# To write the file to disk:
with open("my-image.png", "wb") as file:
file.write(output.read())
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_F8f**********************************
This is your API token. Keep it to yourself.
Run x-lance/f5-tts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \
-H "Authorization: Bearer $REPLICATE_API_TOKEN" \
-H "Content-Type: application/json" \
-H "Prefer: wait" \
-d $'{
"version": "x-lance/f5-tts:105be14651de914ba4dab6bf0fb0cc5d763802e347f1ea8f5f71adc118448a48",
"input": {
"custom_split_words": "",
"gen_text": "captain teemo, on duty!",
"ref_audio": "https://replicate.delivery/pbxt/LnHEJTVWhjLcpGQJTBralyztLwl8diaLyHjP2a1KXJ8dxVWv/Teemo_Original_Taunt.ogg",
"ref_text": "never underestimate the power of the scout\'s code",
"remove_silence": true
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "sp0dk1aj1nrj20cjhe1sn2pzqr",
"model": "x-lance/f5-tts",
"version": "105be14651de914ba4dab6bf0fb0cc5d763802e347f1ea8f5f71adc118448a48",
"input": {
"custom_split_words": "",
"gen_text": "captain teemo, on duty!",
"ref_audio": "https://replicate.delivery/pbxt/LnHEJTVWhjLcpGQJTBralyztLwl8diaLyHjP2a1KXJ8dxVWv/Teemo_Original_Taunt.ogg",
"ref_text": "never underestimate the power of the scout's code",
"remove_silence": true
},
"logs": "Generating: captain teemo, on duty!\n[*] Converting reference audio...\n[+] Converted reference audio.\n[*] Using custom reference text...\n[+] Reference text: never underestimate the power of the scout's code\n[*] Forming batches...\n[+] Formed batches: 1\n------ Batch 1 -------------------\ncaptain teemo, on duty!\n--------------------------------------\n0%| | 0/1 [00:00<?, ?it/s]Building prefix dict from the default dictionary ...\nDEBUG:jieba:Building prefix dict from the default dictionary ...\nDumping model to file cache /tmp/jieba.cache\nDEBUG:jieba:Dumping model to file cache /tmp/jieba.cache\nLoading model cost 0.494 seconds.\nDEBUG:jieba:Loading model cost 0.494 seconds.\nPrefix dict has been built successfully.\nDEBUG:jieba:Prefix dict has been built successfully.\n/root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/vocos/pretrained.py:70: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\nstate_dict = torch.load(model_path, map_location=\"cpu\")\n100%|██████████| 1/1 [00:04<00:00, 4.49s/it]\n100%|██████████| 1/1 [00:04<00:00, 4.49s/it]\n[*] Removing silence...\n[+] Removed silence\n[*] Saving output.wav...\n[+] Saved output.wav",
"output": "https://replicate.delivery/yhqm/Jm39g2brgdYtE5aMvDRXKupUZeNFsGvdmpoHufY3cCo5HumTA/output.wav",
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2024-10-14T14:51:32.237Z",
"started_at": "2024-10-14T14:51:32.247807Z",
"completed_at": "2024-10-14T14:51:37.493607Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/sp0dk1aj1nrj20cjhe1sn2pzqr/cancel",
"get": "https://api.replicate.com/v1/predictions/sp0dk1aj1nrj20cjhe1sn2pzqr",
"web": "https://replicate.com/p/sp0dk1aj1nrj20cjhe1sn2pzqr"
},
"metrics": {
"predict_time": 5.2457999730000004,
"total_time": 5.256607
}
}