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Language: Go
CLI for Replicate
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- Last updated
- 09/17/2024
gem-hunterLanguage: Go
CLI for Replicate
If you're using macOS, you can install the Replicate CLI using Homebrew:
brew tap replicate/tap brew install replicate
Or you can build from source and install it with these commands (requires Go 1.20 or later):
make sudo make install
If you previously installed the CLI with Homebrew, you can upgrade to the latest version by running the following command:
brew upgrade replicateGrab your API token from replicate.com/account
and set the REPLICATE_API_TOKEN environment variable.
$ export REPLICATE_API_TOKEN=<your token here>Usage: replicate [command] Core commands: hardware Interact with hardware model Interact with models prediction Interact with predictions scaffold Create a new local development environment from a prediction training Interact with trainings Alias commands: run Alias for "prediction create" stream Alias for "prediction create --stream" train Alias for "training create" Additional Commands: completion Generate the autocompletion script for the specified shell help Help about any command Flags: -h, --help help for replicate -v, --version version for replicate Use "replicate [command] --help" for more information about a command.```
Generate an image with SDXL.
$ replicate run stability-ai/sdxl \ prompt="a studio photo of a rainbow colored corgi" Prediction created: https://replicate.com/p/jpgp263bdekvxileu2ppsy46v4
Run LLaMA 2 and stream output tokens to your terminal.
$ replicate run meta/llama-2-70b-chat --stream \ prompt="Tell me a joke about llamas" Sure, here's a joke about llamas for you: Why did the llama refuse to play poker? Because he always got fleeced!
Create a Node.js or Python project from a prediction.
$ replicate scaffold https://replicate.com/p/jpgp263bdekvxileu2ppsy46v4 --template=node Cloning starter repo and installing dependencies... Cloning into 'jpgp263bdekvxileu2ppsy46v4'... Writing new index.js... Running example prediction... [ 'https://replicate.delivery/pbxt/P79eJmjeJsql40QpRbWVDtGJSoTtLTdJ494kpQexSDhYGy0jA/out-0.png' ] Done!
Generate an image with SDXL and upscale that image with ESRGAN.
$ replicate run stability-ai/sdxl \ prompt="a studio photo of a rainbow colored corgi" | \ replicate run nightmareai/real-esrgan --web \ image={{.output[0]}} # opens prediction in browser (https://replicate.com/p/jpgp263bdekvxileu2ppsy46v4)
Create a new model on Replicate.
$ replicate model create yourname/model --private --hardware gpu-a40-smallTo list available hardware types:
$ replicate hardware listAfter creating your model, you can fine-tune an existing model or build and push a custom model using Cog.
Fine-tune SDXL with your own images:
$ replicate train --destination mattt/sdxl-dreambooth --web \ stability-ai/sdxl \ input_images=@path/to/pictures.zip \ use_face_detection_instead=true # opens the training in browser
Note
Use the @ prefix to upload a file from your local filesystem.
It works like curl's --data-binary option.
For more information, see our blog post about fine-tuning with SDXL.
Get the schema for SunoAI Bark
$ replicate model schema suno-ai/bark Inputs: - prompt: Input prompt (type: string) - history_prompt: history choice for audio cloning, choose from the list (type: ) - custom_history_prompt: Provide your own .npz file with history choice for audio cloning, this will override the previous history_prompt setting (type: string) - text_temp: generation temperature (1.0 more diverse, 0.0 more conservative) (type: number) - waveform_temp: generation temperature (1.0 more diverse, 0.0 more conservative) (type: number) - output_full: return full generation as a .npz file to be used as a history prompt (type: boolean) Output: - type: object