Design & Media: Professional Visual Asset Creation (Image Editing &get Prompts)

This workflow focuses on leveraging curated prompt libraries and cinematic references to generate and edit high-quality images.

Creative Stack & Specs

• Core Toolset: Midjourney V8.2 (Testing), Nano Banana Pro / Nano Banana 2, Seedream 5.0, GPT Image, DALL-E 3, Flux, Stable Diffusion
• Reference Tools: stillslab.com (for cinematic frame extraction or scene inspiration)
• Prompting Resource: ai-image-prompts-skill repository

Step-by-Step Production Workflow

1. Visual Research/Referencing: Use certain film scenes as a visual baseline by extracting frames from movies such as Backrooms or Obsessiya through stillslab.com to act as lighting or composition references.
2. Prompt Engineering: Access the specialized prompts database via GitHub for any of your target models like Flux, Midjourney, or Stable Diffusion.
   
   If starting without an idea, use tools that create prompts based on existing references (video, articles, or pictures).
3. Image Generation: Execute prompt generation using selected AI engines including potentially heavyweights enough like Dall-e 3 and Nano Banana series if required.
4. Advanced Post-Generation Editing: Utilize Midjourney V8.2's advanced features:
   
   • Apply text instructions to edit images directly.
   • Use upto four image files as wayfinding/reference links.
   • Employ brush-based selective editing to change specific areas.
   • Utilize sref / moodboards

     for style consistency.

Style Consistency & Quality Controls

• Reference Management: Use cinematic frames from film scenes (

! DYOR (Do Your Own Research)