Diving to the new Frames feature from Runway ML—an AI image generator built entirely by Runway, separate from models like Stable Diffusion or Flux. We'll look at how Frames offers cinematic image outputs, best practices for prompting, and showcases a variety of user-generated examples.
On top of that, he explores:
• Kling's New “Elements” Feature that allows up to four reference images and yields 10-second AI-generated videos. Tim shows how this boosts continuity in character designs and environments.
• A John Wick–Severance Crossover made possible by advanced LoRA (Low-Rank Adaptation) techniques, demonstrating how entire characters (not just faces) can be swapped seamlessly in video footage.
• Tribute to David Lynch: Tim takes a moment to acknowledge the legendary filmmaker’s influence and pays homage with a custom “Peak Lynch” style inside Runway’s Frames.
Throughout the video, Tim mixes in behind-the-scenes tips—like how to handle glitchy hands, text consistency, and the best ways to write prompts for cohesive results. He also reveals a handy GPT Prompt Builder tool (linked below) designed to help generate descriptive prompts quickly. Finally, Tim closes by teasing a new Minimax feature for reference-to-video that’s just dropped, promising to showcase more examples soon.
Timestamps:
00:00 – Intro & Overview of Runway’s Frames
00:58 – Diving into Frames + Prompting Tips
01:47 – Frames First Example
02:29 – Frames To Video
03:16 – Frames Second Example
04:08 - Frames Outputs and Vary
05:00 – Prompting In Frames
05:38 – Frames Prompt Builder
06:19 – Styles In Frames
06:44 - Your Own Styles
07:39 – More Cinematic Examples
08:09 – Community Outputs
09:23 - What I'd like to See In Frames
10:03 - Kling's Elements WOW
11:27 - Community Outputs With Elements
12:24 - John Wick Meets Severance
Links & Tools Mentioned:
GPT Prompt Builder https://chatgpt.com/g/g-678faa261f888191946af0ba95a374af-runway-frames-prompt-builder
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