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