Orion vault — clean initial history

Knowledge vault (Orion/PARA) migrated from the pre-Orion 484vault on
2026-10-01. Deliberately orphaned: prior history contained a plaintext
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### What I'd use locally
If you're running **Qwen3.8 Flash locally**, I'd actually keep it for the **planning/director role**.
Your pipeline would look roughly like:
**Qwen3.8 Flash**
→ transcript analysis
→ characters
→ storyboard
→ shot prompts
→ asset list
**Image model**
→ character sheets
→ backgrounds
→ props
**Video/animation model**
→ animate each shot
**FFmpeg / editing software**
→ assemble shots + narration + music + captions
The key is that you **don't need one giant model to do everything**.
If your laptop is the Framework machine you've been using for your local AI setup, the exact model choice depends heavily on your GPU/RAM. If you're **CPU-only or using integrated graphics**, I'd approach this very differently than if you have an NVIDIA GPU.
If you tell me **your exact Framework specs (CPU, RAM, and GPU—if any)**, I can give you a specific local stack—**model by model—and tell you which parts Qwen3.8 Flash should handle versus which model should generate the actual 2D animation.**
```
You are an expert 2D cutout animation director and storyboard artist.
I already have a completed narration transcript. Your job is to convert the transcript into a simple, AI-friendly 2D cutout animation plan.
IMPORTANT:
Do NOT rewrite the narration.
Do NOT add unnecessary dialogue.
Do NOT create complicated animation.
Do NOT use realistic 3D animation.
Do NOT use anime.
Do NOT use detailed frame-by-frame animation.
ANIMATION STYLE:
- Simple 2D cutout/vector animation
- Flat colors
- Clean, minimal shapes
- Simple characters with recognizable silhouettes
- Simple facial expressions
- Characters constructed from reusable pieces: head, torso, arms, hands, legs
- Limited animation
- Characters can slide, walk, point, turn, gesture, nod, shake their head, sit, stand, or change facial expressions
- Reuse the same character designs throughout the entire video
- Reuse backgrounds whenever possible
- Use simple props and icons
- Use camera pans, zooms, and cuts to create visual interest
- Avoid complex physics, crowds, detailed environments, and complicated interactions
- Keep every shot easy for an AI image/video generation system to reproduce consistently
VISUAL PRIORITY:
Narration > visual clarity > animation complexity.
The visuals should support what the narrator is saying rather than trying to literally animate every word.
CHARACTER CONSISTENCY:
Create a small cast of recurring characters.
For each character define:
- Character name
- Age range
- Gender presentation if relevant
- Body shape
- Hair
- Clothing
- Main colors
- Distinguishing features
- Default facial expression
- Personality conveyed visually
Once a character is defined, NEVER redesign that character later in the video.
BACKGROUND CONSISTENCY:
Use a small number of reusable locations.
For each location define:
- Location name
- Basic layout
- Major objects
- Color/style
- Important recurring props
SHOT DESIGN:
Break the transcript into individual shots.
For every shot provide:
1. Shot number
2. Transcript section being illustrated
3. Estimated duration
4. Location/background
5. Characters present
6. Character poses
7. Character actions
8. Facial expressions
9. Props
10. Camera movement
11. On-screen text, if needed
12. Transition from previous shot
13. Exact image-generation prompt
14. Exact animation/video-generation prompt
Keep individual shots visually simple.
Prefer shots that can be generated using one static image plus limited motion.
Whenever possible, use:
- Character movement
- Camera movement
- Object movement
- Simple transitions
instead of complex animation.
SHOT COMPLEXITY RULE:
Every shot should receive a complexity rating from 1–5.
1 = almost completely static
2 = one simple movement
3 = several simple movements
4 = moderately complex
5 = complex
Try to keep at least 80% of the shots at complexity 1–3.
If a shot would be complexity 4–5, redesign it into multiple simpler shots.
AI GENERATION RULE:
Design every shot so that an AI image/video model has the highest possible chance of maintaining character consistency.
Avoid:
- Multiple characters physically interacting
- Hands touching complicated objects
- Characters holding many objects
- Rapid movement
- Large crowds
- Complex camera movements
- Detailed backgrounds
- Multiple simultaneous actions
- Tiny text inside generated images
Instead, use separate shots.
OUTPUT STRUCTURE:
FIRST:
Give me the overall visual style guide.
SECOND:
Give me the reusable character designs.
THIRD:
Give me the reusable background/location designs.
FOURTH:
Create the complete shot list in a table.
FIFTH:
Provide the image-generation prompts for every shot.
SIXTH:
Provide the animation/video-generation prompts for every shot.
SEVENTH:
Provide a list of reusable assets that should only be generated once, including:
- Characters
- Backgrounds
- Props
- Icons
- Logos
EIGHTH:
Provide a recommended production workflow explaining exactly which assets should be generated first and how they should be reused across the video.
VERY IMPORTANT:
Do not attempt to make the animation visually impressive through complexity.
Make it look intentionally simple, clean, consistent, and professional.
The goal is a style that a local AI pipeline can realistically produce repeatedly without character drift or excessive rendering requirements.
Here is the transcript:
[PASTE TRANSCRIPT HERE]
```