Alternatives
Products that do what Fine-tuned Qwen2.5-7B on 100 films for probabilistic story graphs does
Hi HN, I'm a computer systems engineering student in Mexico who switched from film school. I built CineGraphs because my filmmaker friends and I kept hitting the same wall—we'd have a vague idea for a film but no structured way to explore where it could go. Every AI writing tool we tried output generic, formulaic slop. I didn't want to build another ChatGPT wrapper, so I went a different route. The idea is simple: you input a rough concept, and the tool generates branching narrative paths visualized as a graph. You can sculpt those branches into a structured screenplay format and export to…
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Skip the prompting. Produce consistently compelling videos.
May 2026 · vivago.ai
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Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make…
Jul 2026 · microsoft.github.io
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We have a dataset of 3,095 standardized AI responses across 43 prompts. From each response, we extract a 32-dimension stylometric fingerprint (lexical richness, sentence structure, punctuation habits, formatting patterns, discourse markers). Some findings: - 9 clone clusters (>90% cosine similarity on z-normalized feature vectors) - Mistral Large 2 and Large 3 2512 score 84.8% on a composite metric combining 5 independent signals - Gemini 2.5 Flash Lite writes 78% like Claude 3 Opus. Costs 185x less - Meta has the strongest provider "house style" (37.5x distinctiveness ratio) - "Satirical…
Apr 2026 · rival.tips
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I like the idea of taking one thing and turning it into another—very much inspired by NotebookLM and wondered what it might take to generate full graphic novels, with consistent characters, narrative flow, story arc, etc. Developed a 7-pass scripting enrichment system (beat analysis, adaptation filtering, character deep dives) before generating any images. Dual backend: Google Gemini for scripting (2M context window) and either Gemini or OpenAI for image generation with 3-tier model fallback (comparing the performance of both). It's not great. Would love feedback on the pipeline.
Mar 2026 · arv.in
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I've been working on this Claude Code pipeline for making 10-minute movies, gluing together Seedance (videogen), Nano Banana (image gen), and ElevenLabs (voice gen), and using Claude as the director. My repo contributes a markdown playbook and a worked example which should make it easier for other people to make their own short movies. A first-pass movie takes around 2.5 hours of wall clock time and costs around $200, and iterating is easy thanks to intermediate artifacts like storyboards and voice samples.
Jul 2026 · github.com
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To be specific, the content is generated by a GPT-2 based model. https://amzn.to/2TCc0v2 Let me know if you have any questions :-)
2020
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Hey HN, I built Blooming, a visual AI workspace where you drag-and-drop “nodes” (text, image, video) onto a whiteboard and chain AI text, image and video models together. It's kinda like n8n but for AI art: • Node-based canvas • Multi-model switching (test different models side by side and iterate multiple versions) • Pipe text or image output to other nodes to refine prompts, turn them into videos or explain images Demo link: https://youtu.be/TdFzhxeRFNg I’d love your feedback on UI clarity, performance, and which models to integrate next. What’s confusing or missing for AI…
2025 · blooming1000.com
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Ever wanted to create your own picture book? Introducing Mr. Seuss! Just input images of your protagonist and a basic storyline and he'll produce a (funny but weird) picture book for you using AI. The linked colab uses GPT-J to generate a story and Dreambooth Stable Diffusion to generate relevant pictures to the story. It's completely free and takes around 30 minutes to run on the free tier of colab. Let me know what you think in the comments! So excited to see what's possible for storytelling using AI.
2022 · colab.research.google.com
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I’ve spent the last month or so hacking on a prototype to let filmmakers make concept art more quickly with recent generative image tools. This is very much a beta—with current functionality you can make projects, generate shots, and upload scripts which we can process into shotlists. Features I’m working on as we speak: character consistency, location consistency, framing and composing shots. Let me know what you think or what else I should build!
2024 · storyboarder.vercel.app
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I’m excited to share the project I’ve been working on for a while now called Nuvvel, which utilizes AI to generate detailed, rich stories for avid readers. You might think of it as a mix between an endless Netflix series and a dedicated Wikipedia for each series. The platform features interconnected characters, each with their own story arcs, and immersive locations where events unfold, connecting everything together. Each series begins with a story arc told over many chapters. Once a chapter is unlocked, it becomes available for everyone to read. Some chapters might already be unlocked by…
2024 · nuvvel.com
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