Midjourney + Runway Gen 3 Turbo Full Course (Create Lifelike Cinematic AI Videos)
TLDRThis tutorial dives into creating cinematic AI videos with Runway Gen 3 Turbo, marking a new era in AI filmmaking. It guides through storyboarding with Midjourney, generating realistic cinematic shots, and crafting videos with Runway's image-to-video feature. The video compares Gen 3 Turbo's speed and quality to the base model, offers practical prompting tips, and showcases creating a cohesive cinematic universe. It also addresses Runway's pricing and offers tips for cost-effective video generation.
Takeaways
- 😀 The era of AI films has begun, with Runway Gen 3 Turbo enabling rapid ideation and democratization of film making.
- 🎥 The creator shares a deep dive tutorial on producing a mini AI film, showcasing the capabilities of AI tools in generating cinematic content.
- 🚀 The video demonstrates the progression towards super photorealism and coherence in AI-generated videos.
- 📝 The process starts with a synopsis draft, character creation, and setting details, which are crucial for storyboarding.
- 📈 The creator uses CAT GPT for storyboarding due to its consistency in character and style, essential in the low-fidelity phase.
- 🖼️ Image prompting and style references on Mid Journey are key techniques for transforming storyboards into high-fidelity cinematic images.
- 🤖 Character reference weight in Mid Journey is important for directing scenes and maintaining character consistency across images.
- 🎬 Runway's image to video mode is highlighted for creating cinematic videos, with control over camera movement and scene direction.
- 🆚 A comparison is made between Runway Gen 3 Turbo and the base model, noting improvements in speed and output quality.
- 💡 The video concludes with tips for effective prompting in Runway, including the use of camera techniques, character movement, and event descriptions.
Q & A
What does the era of AI films signify according to the video?
-The era of AI films signifies the beginning of a new phase in film making where AI tools like Runway Gen 3 Turbo are democratizing and accelerating the process, allowing creators to ideate and produce cinematic content at the pace of their imagination.
What is the significance of Runway Gen 3 Turbo in the video?
-Runway Gen 3 Turbo is highlighted as a significant advancement in AI film making, offering lightning-fast image generation and improved photorealism, which brings the industry closer to the democratization of film making.
How does the video demonstrate the process of creating an AI film?
-The video demonstrates the process of creating an AI film by showcasing a deep dive tutorial on how the creator made a mini AI film, including storyboarding, generating ultra-realistic cinematic shots with consistent style and character using Midjourney, and creating cinematic videos using Runway's image to video mode.
What role does Midjourney play in the AI film creation process discussed in the video?
-Midjourney plays a pivotal role in transforming the low-fidelity storyboard into high-fidelity, ultra-realistic cinematic images by using the atomic prompting method, which helps in establishing a consistent style and character throughout the series of images.
What are the three main parts of the process covered in the video?
-The three main parts of the process covered in the video are storyboarding for the AI film, transforming the storyboard into ultra-realistic cinematic shots, and creating cinematic videos using Runway's image to video mode.
How does the video suggest using character and style references in Midjourney?
-The video suggests using character and style references in Midjourney by attaching them to prompts and using image prompting to establish the right tone and consistency across the generated images, which is crucial for directing upcoming scenes.
What is the importance of specifying setting, location, and time in the AI film creation process as per the video?
-Specifying setting, location, and time is important to ensure that the generated images have consistency in terms of time periods and avoid producing images with inconsistent settings, which could disrupt the narrative flow of the film.
How does the video guide users on creating cinematic videos using Runway's image to video mode?
-The video guides users on creating cinematic videos using Runway's image to video mode by controlling camera movement for the best results, making the most out of Runway's powerful image to video engine, and comparing the output quality of Runway Genry Turbo with the Genry base model.
What are the prompt tips shared in the video based on?
-The prompt tips shared in the video are based on the official Runway Genry prompting guide published and recommended by the Runway team, aiming to help users save time and create more effective prompts.
How does the video address the challenge of maintaining character consistency in AI-generated images?
-The video addresses the challenge of maintaining character consistency by using character reference weights in Midjourney, which allows for more or less flexibility in changing character attributes like hairstyle and outfit through text prompts while preserving facial features.
Outlines
🎥 Introduction to AI Filmmaking with Runway Gen 3 Turbo
The speaker introduces the era of AI films and the democratization of filmmaking with Runway Gen 3 Turbo. They reflect on the advancements since producing their first cinematic AI video with Gen 2 and the approach towards Super photorealism. The speaker published a mini AI film to test the capabilities of AI tools and shares a tutorial on creating the film. The tutorial is divided into three main parts: storyboarding, transforming storyboards into cinematic shots with Mid Journey, and creating cinematic videos with Runway's image-to-video mode. The speaker also plans to compare the output quality of Runway Gen 3 Turbo with the base model.
📘 Storyboarding and Image Prompting in AI Filmmaking
The speaker details the process of storyboarding for an AI film, starting with writing a synopsis and character description. They chose a Native American young man named Ilas and set the film in the snowy Rocky Mountains during the US Wild West era. Using CET GPT and Dolly, the speaker generated 16 scenes for the storyboard. They emphasize the importance of specifying setting, location, and time to maintain consistency. The speaker then used Mid Journey to create ultra-realistic cinematic images, focusing on style exploration and establishing a consistent tone across images. They also discussed the use of image prompting and style reference to transform low-fidelity storyboard images into high-fidelity cinematic shots.
🖌️ Refining Character Design and Scene Direction in AI Videos
The speaker continues the tutorial by refining the character design using Mid Journey, aiming for a cinematic close-up shot of the Native American young man, Ilas. They discuss the importance of character and style consistency and the use of image prompting to achieve realistic depictions. The speaker also explains the use of character weight in Mid Journey to control the influence of the reference image on the generated character's appearance. They provide examples of how to use character references and style references to direct scenes effectively, emphasizing the importance of adapting character weight based on the scene's requirements.
🌄 Creating a Cinematic Universe with Batch Prompting
The speaker demonstrates how to create a cinematic universe quickly using batch prompting in Mid Journey. They use a prompt structure with brackets to generate multiple image variations with a single prompt, adjusting chaos values to control diversity. The speaker also shows how to use the same image for both style and character references, and how to include shot types in prompts to enhance creative control. They discuss the importance of organizing generated images for the next step, which is upscaling using tools like Mid Journey's upscalers or Magnific Upscaler.
📹 Transforming Images into Videos with Runway's Image-to-Video Mode
The speaker explains the process of handing over images to Runway for video creation, emphasizing the organization of images and the use of upscaling tools. They discuss setting camera movements in Runway based on the first frame and the importance of prompt structure for image-to-video conversion. The speaker praises the speed of Runway Gen 3 Turbo and compares its output quality to the base model, noting occasional face and color changes but overall satisfaction. They also introduce Runway's prompt presets for easier camera control and provide examples of effective prompting for image-to-video conversion.
💡 Advanced Prompting Techniques and Common Issues in AI Video Creation
The speaker covers advanced prompting techniques for Runway, focusing on camera techniques, camera follows format, and event descriptions. They provide examples of how to combine these elements for effective image-to-video conversion. The speaker also addresses common issues with Runway, such as slow motion and color changes, offering solutions like using speed keywords and maintaining color consistency. They demonstrate Runway's lip sync feature and discuss the platform's pricing, suggesting a low-resolution preview step for cost control. The speaker concludes with a recommendation to use fixed seed for consistent style references.
Mindmap
Keywords
💡AI films
💡Runway Gen 3 Turbo
💡Midjourney
💡Storyboarding
💡Image to Video Mode
💡Cinematic Coherence
💡Character Weight
💡Style Reference
💡Image Prompting
💡Lip Sync Feature
💡Pricing and Credits
Highlights
The era of AI films has started, marking a significant shift in film production.
Runway Gen 3 Turbo enables rapid ideation and creation in film making.
Approaching Super photorealism in AI-generated videos.
A mini AI film 'A Blast from the Past' was created to test the capabilities of AI tools.
The video provides a deep dive tutorial on creating an AI film.
Three main parts of the process are covered: storyboarding, realistic shot creation, and cinematic video creation.
The importance of setting, time, location, and weather conditions in the ideation phase.
Utilizing large language models like GPT-3 for scene generation based on a synopsis.
Storyboarding with DALL-E using specific aspect ratios and setting descriptions.
Transforming storyboards into high-fidelity cinematic shots with consistent style and character.
Using Midjourney for style exploration and establishing a consistent tone across images.
Image prompting and style reference are key for generating realistic images.
The significance of image weight in balancing image and text prompts on Midjourney.
Designing characters with Midjourney using detailed prompts and references.
Using character and style references effectively to maintain consistency.
Creating cinematic videos with Runway's image to video mode, focusing on camera movement.
Comparing the output quality of Runway Gen 3 Turbo with the base model.
Tips for a smooth handover from Midjourney to Runway, including image organization and upscaling.
Using Runway's prompt presets for easier camera control in image to video mode.
Addressing common issues with Runway and their solutions, such as slow motion and color changes.
Runway's lip sync feature for adding dialogue to generated characters.
Discussion on Runway's pricing and the impact on the affordability of AI film creation.
The use of fixed seed on Runway for creating visually similar generations.