Integrate Replicate and Hugging Face to automate workflows with scalable backend
Connect Replicate and Hugging Face nodes to in your workflow. Integrate with any tool or database and ship powerful backend logic and APIs instantly - No code required!
Getting Started
How To Connect Replicate and Hugging Face
Popular Templates With Replicate and Hugging Face
Explore our popular Google Sheets & templates below. Click. Remix. Ship!
Node stack
Supported Triggers & Actions
Replicate NODES
Answer Image Questions
Answers questions about images using the Replicate model
Background Remover
Remove the background from images using Replicate API
Face Restoration
Performs practical face restoration algorithm for old photos or AI-generated faces using Replicate
Face Swap
Swaps faces using replicate's yan-ops/face_swap model.
Image Super-Resolution and Restoration
Performs a AI Photorealistic Image Super-Resolution and Restoration using Replicate
Llama 2 Chat
Llama 2 for chat completion
Music Generator
Uses Replicate's music-gen model to generate music based on a user prompt.
Replicate Client
A generic Replicate Client to use any Replicate model.
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Replicate Llama Text Generator
Uses Replicate Llama model to generate text based on a provided prompt and system prompt while applying various text generation settings.
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Stability AI Image Generation
Text to image generation using Stability AI's sdxl model that creates beautiful 1024x1024 images
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Stability AI Text Generation
Generate text using the Stability AI 7 billion parameter language model
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Upscale Image
Performs Real-ESRGAN with optional face correction and adjustable upscale
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Hugging Face NODES
Caption Image
Generate caption for the image using Hugging Face's [Salesforce/blip-image-captioning-large](https://huggingface.co/Salesforce/blip-image-captioning-large) model for image captioning pretrained on COCO dataset - base architecture (with ViT large backbone).
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Image Classification
Get classification labels for your image using Hugging Face's [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) model which is a transformer encoder model (BERT-like) pretrained on a large collection of images in a supervised fashion, namely ImageNet-21k, at a resolution of 224x224 pixels. Next, the model was fine-tuned on ImageNet (also referred to as ILSVRC2012), a dataset comprising 1 million images and 1,000 classes, also at resolution 224x224.
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Text Summarization
Summarize long text using Hugging Face's [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) model which is a transformer encoder-encoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. BART is pre-trained by (1) corrupting text with an arbitrary noising function, and (2) learning a model to reconstruct the original text.
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Text-To-Image
Generate image from text, using Hugging Face's [openskyml/dalle-3-xl](https://huggingface.co/openskyml/dalle-3-xl) test model very similar to Dall•E 3.
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Text-To-Music
Generate music from text using Hugging Face's [facebook/musicgen-small](https://huggingface.co/facebook/musicgen-small) model capable of generating high-quality music samples conditioned on text descriptions or audio prompts.
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Blog posts & Tutorials
Recommended
Reads
Below are recommneded blogs that will help in your journey
Support
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