Calliope
▶ Play demoYouTube · loads on clickWhat they did
A local story-to-video app. It turns an idea into a storyline and script, splits scenes into shots, generates each shot through your own ComfyUI, then stitches the clips into a film with ffmpeg.
How it went
The README says it needs a running ComfyUI install and an OpenAI-compatible LLM endpoint, which can be local.
Worth knowing
- Price: Open source (MIT)
- License: MIT
- Status: sourced. We have not run this ourselves yet (no "Tested" badge).
- Quality bar (computed by code): 4/5 (primary source ✓, reproducible ✗, new ✓, example output ✓, safe ✓)
The best new AI video workflows and prompts, weekly.
Related
▶ demo at sourceComfyUI
ComfyUI is the open, node-based app for building image and video pipelines on your own GPU or in the cloud. Most open-model video workflows assume it.
▶ demo at sourceComfyUI docs: video
Official ComfyUI tutorial for Wan 2.1: text-to-video with the 1.3B model and image-to-video with the 14B model, including where each model file goes.
▶ demo on XComfyUI Changelog
ComfyUI's release log. Check it to see when new video models get native nodes.
▶ example at sourceComfyUI-MiniMaxH3-TimelineDirector
A ComfyUI plugin and all-in-one workflow for MiniMax H3. It covers text-to-video, reference images, audio-driven generation, editing and motion transfer, and builds long videos from continuous segments in one run.
▶ example at sourceComfyUI-MiniMaxH3-Easy
A single compact ComfyUI workflow for MiniMax H3 that covers text-to-video, image-to-video, first/last-frame and reference video, with one shared input panel.
▶ example at sourceComfyUI-Spectrum-MiniMax-H3
ComfyUI nodes that apply Spectrum, a training-free sampling speed-up from a 2026 paper, to the native MiniMax H3 audio-video model. They handle H3's combined audio/video latents.