A diffusion model for generating human motion video from a text prompt
Some 4x esrgan upscalers
High performance and lightweight object detection models
Stable Diffusion, accelerated
Edit an image using features from diffusion models
Generate an image by specifying a different text prompt for each region
Real-ESRGAN for image upscaling on an A100
A language model for tasks like classification, summarization, and more.
A model which generates text in response to an input image and prompt.
A model for text, audio, and image embeddings in one space
Filling in images quickly with Stable Diffusion and AITemplate
Accelerated transcription of audio using WhisperX
Dataset Preprocessing code for Whisper Fine-Tuning
SDXL, but faster
Image inpainting with flux
some words
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run daanelson/cpu-fake-trainer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "daanelson/cpu-fake-trainer:0d5503084c7e16f180c2b80052e03b54bd777f0da290d114dbeb08c35bc8312f", { input: {} } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
import replicate
output = replicate.run( "daanelson/cpu-fake-trainer:0d5503084c7e16f180c2b80052e03b54bd777f0da290d114dbeb08c35bc8312f", input={} ) print(output)
To learn more, take a look at the guide on getting started with Python.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "daanelson/cpu-fake-trainer:0d5503084c7e16f180c2b80052e03b54bd777f0da290d114dbeb08c35bc8312f", "input": {} }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
No output yet! Press "Submit" to start a prediction.
This model runs on CPU hardware. We don't yet have enough runs of this model to provide performance information.
This model doesn't have a readme.
This model runs on CPU hardware which costs $0.0001 per second