Working with BFL FLUX in Pixeltable
This notebook demonstrates how to use Black Forest Labs (BFL) FLUX models for image generation and editing through Pixeltable.
Pixeltable's Bedrock integration enables you to access AWS Bedrock foundation models directly from your tables.
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
BEDROCK_API_KEYbedrock.converse()pxt.create_table()add_computed_column()insert()from pixeltable.functions import bedrock# Create a table in Pixeltable and add a computed column that calls Bedrockt = pxt.create_table('bedrock_demo/chat', {'input': pxt.String})t.add_computed_column(output=bedrock.converse(model_id='amazon.nova-pro-v1:0',messages=[{'role': 'user', 'content': [{'text': t.input}]}],))
One cell of the notebook, copied as it is. Open it in Colab for the rest.
This notebook demonstrates how to use Black Forest Labs (BFL) FLUX models for image generation and editing through Pixeltable.
Pixeltable's Deepseek integration enables you to access Deepseek's LLM via the Deepseek API.
Pixeltable's fal.ai integration enables you to access fal.ai's fast inference models via the fal.ai API.
Pixeltable's Microsoft Fabric integration enables you to access Azure OpenAI models within Microsoft Fabric notebook environments with automatic authentication.