Text to Video#
Week 5 · SLOP8760#
Phase 2 of 4 · Four Generators
This week adds#
Text to video: motion generated from words alone, with the prompt as the only thing anchoring the shot.
The native clip length is a published number#
It is not a style choice and not a limit to argue with. It is in the config file, and the prompt is written inside it.
| Model | Native clip |
|---|---|
| Wan2.1 shared config | 81 frames at 16 fps — 5.06 s |
| Wan2.2 TI2V-5B | 121 frames at 24 fps |
| MiniMax H3 | 4 to 15 s, at 24 fps |
Source: Wan configs, shared_config.py and wan_ti2v_5B.py — https://github.com/Wan-Video/Wan2.2
Source: MiniMax-H3 model card, Output — https://huggingface.co/MiniMaxAI/MiniMax-H3
spacetime patches which act as transformer tokens
OpenAI, Video generation models as world simulators, 2024
Source: Video generation models as world simulators — https://openai.com/index/video-generation-models-as-world-simulators/
The prompt has fields, not paragraphs#
The recorded ladder’s middle tier is written into three:
integrated_multimodal_description carries visuals, actions, shots, speakers
and dialogue along the timeline; overall_soundscape takes one to four
English sentences; non_diegetic_music is the music the characters cannot
hear.
Source: MiniMax H3 Video Prompt Writing Guide — https://huggingface.co/MiniMaxAI/MiniMax-H3/raw/main/docs/VIDEO_PROMPT_WRITING_GUIDE_base_en.md
The four sentences#
Subject and action. Shot size. What the camera is doing. What the light is doing. In that order, inside the clip length.
Reading a bad take#
Wrong physics, a quiet change of subject partway through, or a camera move that contradicts the prompt. Each points at a different sentence.

The ladder#
- One line naming only the subject
- Plus the subject’s action
- The full four sentences — subject, shot size, camera, light
- Plus a specific beat the action turns on, and a negative prompt
And a counter-example, not a fifth rung: the same four sentences buried under contradictory camera and style demands, generated once on purpose.
Before class#
Pick one action you want to see performed and write it as a single sentence, with no camera or light information yet.
This week’s exercise#
Build the ladder above for that action: one line, subject and action, the full four sentences, and the four sentences with a beat and a negative prompt. Generate the counter-example too, on purpose. Bring all five clips, in ladder order with the counter-example marked, to Wednesday’s Dailies.
Reading#
Video generation models as world simulators
OpenAI2024
spacetime patches which act as transformer tokens
Scalable Diffusion Models with Transformers
Peebles & Xie2022
replacing the commonly-used U-Net backbone with a transformer that operates on latent patches
Wan: Open and Advanced Large-Scale Video Generative Models
Team Wan2025
requiring only 8.19 GB VRAM
Gao et al.2025
a 5-second video at 1080p resolution only with 41.4 seconds (NVIDIA-L20)
MiniMax H3: Video Prompt Writing Guide
MiniMaxAI2026
music that the characters cannot hear