Overview
AI Media Platform is a platform for generating images and video with neural networks. It provides a unified backend over multiple heterogeneous models, background processing for long-running tasks, credit-based billing, and a separate web interface for each model. The project is designed to hide provider differences behind a single entry point and make generation manageable, so tasks are not lost when an external service fails and charges correspond to work actually performed.
The architecture uses Django and django-ninja for a REST API, Celery and Redis for background processing, and a provider layer for video models such as Kling, Midjourney, Sora, Veo, Runway, and Vertex AI, and image models such as GPT-Image, Nano Banana, and Seedream. Task lifecycle states include queued, processing, done, error, and cancelled.
Implemented features include provider adapters, background generation, credit billing with top-up packages, transaction history, model-level tariffs, promo codes, Telegram Web Apps per model, broadcasts, and observability through a bot error log and Sentry. The project is developed independently from architecture to operation and is released under the MIT license.
Pricing
Free
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Use Cases
- Teams use AI Media Platform to generate images and video through a unified backend over multiple neural network models.
- Teams use it to run long generation tasks in the background without blocking the bot.
- Teams use it to bill users in credits with top-up packages and transaction history.
- Teams use it to offer a separate Telegram Web App for each model.
- Teams use it to add new models through adapters without changing the queue, billing, or interface.
- Teams use it to track each generation with a unique run_code and prevent duplicate processing.
- Teams use it to send mass messages with automatic chains and recipient tracking.
- Teams use it to observe bot errors through a custom error log and Sentry.
Features
AI assistant
Natural language interface
Workflow automation
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