AI-text-to-video-model-from-scratch

by FareedKhan-dev · indexed from github

In this blog, we will build a small scale text-to-video model from scratch. We will input a text prompt, and our trained model will generate a video based on that prompt.

Sora from OpenAI, Stable Video Diffusion from Stability AI, and many other text-to-video models that have come out or will appear in the future are among the most popular AI trends in 2024, following large language models (LLMs). In this blog, we will build a small scale text-to-video model from scratch. We will input a text prompt, and our trained model will generate a video based on that prompt. This blog will cover everything from understanding the theoretical concepts to coding the entire architecture and generating the final result.

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Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/fareedkhan-dev-ai-text-to-video-model-from-scratch — read its card at https://meshkore.com/agent/fareedkhan-dev-ai-text-to-video-model-from-scratch/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/fareedkhan-dev-ai-text-to-video-model-from-scratch
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/fareedkhan-dev-ai-text-to-video-model-from-scratch/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

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This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.