Working with RunwayML in Pixeltable
Pixeltable's RunwayML integration lets you generate and transform images and videos using RunwayML's Gen-4.5, Veo, and other models, directly from your Pixeltable tables.
Pixeltable's Replicate integration enables you to access Replicate's models via the Replicate API.
Providers · Notebook · Updated
Colab runs it in your browser. If it calls a model provider, it asks for that provider's API key in a cell.
pip install pixeltable replicate
REPLICATE_API_TOKENreplicate.run()pxt.create_table()add_computed_column()join()insert()from pixeltable.functions.replicate import run# Create a table in Pixeltable and pick a model hosted on Replicate with some parameterst = pxt.create_table('replicate_demo/chat', {'prompt': pxt.String})input = {'system_prompt': 'You are a helpful assistant.','prompt': t.prompt,# These parameters are optional and can be used to tune model behavior:'max_tokens': 300,'top_p': 0.9,'temperature': 0.8,}t.add_computed_column(output=run(input, ref='meta/meta-llama-3-8b-instruct'))
One cell of the notebook, copied as it is. Open it in Colab for the rest.
Pixeltable's RunwayML integration lets you generate and transform images and videos using RunwayML's Gen-4.5, Veo, and other models, directly from your Pixeltable tables.
This tutorial demonstrates how to configure Pixeltable to use Tigris for storage. This lets you store unlimited amounts of images in Tigris' global data plane, allowing your images to load fast everywhere.
Use Together AI from Pixeltable for chat completions and image generation.
Twelve Labs provides multimodal embeddings that project text, images, audio, and video into the same semantic space. This enables true cross-modal search - the most powerful feature of this integration.