Integrate Gemini and Fal AI
Connect Gemini and Fal AI nodes in your workflow. Integrate with any tool or database and ship powerful backend logic and APIs instantly - No code required!
Node stack
Supported Gemini and Fal AI Nodes
Add any other tools or your preferred database nodes. If an integration is not available generate your own using AI
Count Tokens in Prompt
When using long prompts, it might be useful to count tokens before sending any content to the model.
Gemini Text Generator
Make an API call to the Generative Language Model endpoint
Generate Embedding
Generate Embeddings from text input and represent text (words, sentences, and blocks of text) in a vectorized formusing Gemini AI
Multimodal
Use Google's Gemini AI to generate text from text-only or text-and-image input. [Full documentation](https://cloud.google.com/vertex-ai/docs/generative-ai/start/quickstarts/quickstart-multimodal).
Stream Response
Generates a stream of response text using Google's Generative AI with a given prompt
Generate Animation
Generates animations based on a prompt using AnimateDiff Fal AI Model
Stable Diffusion XL Image Generator
Generates an image based on given prompt using Stable Diffusion XL Image Generator
Stable Video Diffusion
Generates a stable diffusion video using FAL API.
Text to Image Generator
Generates images from text using Fooocus model by Fal AI
Whisper Speech to Text
Converts speech to text using Fal AI's Whisper model
Quick start
How to integrate Gemini and Fal AI
Step 1 — Add the nodes to your workflow
Create a new workflow in BuildShip, click “Add node”, and select the Gemini and Fal AI actions you want to use.
Step 2 — Configure each node
Go to each node to authenticate (or add your API key) and fill in the required parameters.
Step 3 — Connect the nodes
Each node in BuildShip can connect to others by using their output variables. When you reference a variable from one node in another, BuildShip automatically links them in the workflow.
Step 4 — Test your workflow
Define your starting data in the Inputs node and choose what to do with the result in the Flow Output node. Finally, run a test to see your workflow in action.
blog posts & tutorials
Recommended Reads
Below are recommneded blogs that will help in your journey
support
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