Creative Exploration - Stable Video 3D Installation and First Look - SV3D

Purz
23 Mar 2024130:50

TLDRIn this creative exploration, the host dives into the world of stable video 3D and tripo Sr, demonstrating how to generate 360-degree views from single images and create 3D models. The session includes a detailed walkthrough of setting up and using various tools within the Comfy environment, blending AI-generated content with practical applications in Blender, and discussing the potential for modular workflows. The host encourages viewers to experiment with the tools and share their creations, fostering a community of artists and enthusiasts.

Takeaways

  • 🎥 The streamer is exploring the capabilities of Stable Video 3D, a tool that generates 360-degree views from a single image.
  • 🌐 The intended purpose of Stable Video 3D is to assist in creating 3D models and textures, not as a standalone mesh generator.
  • 🔗 The streamer provides links to download Stable Video 3D and mentions the need to agree to licensing terms and potential emails from the developers.
  • 📷 The process involves loading an image, resizing it, and generating different views at various angles to create a 3D-like model.
  • 🛠️ The streamer discusses using the tool in conjunction with Comfortable, a node-based workflow environment.
  • 🎨 The potential applications of the tool include creating Splat textures, Nerf styles, and other visual effects for 3D objects.
  • 🤖 The streamer expresses excitement about AI plugins for audio workstations, rather than AI music generators.
  • 🌐 The streamer shares a workflow by Kaji from the Banad Doo Discord server for using Stable Video 3D.
  • 🏢 The discussion includes the creation of 3D models of various objects, such as robots, logos, and plants, and their potential uses in scenes.
  • 🛠️ The streamer talks about the importance of having a good mask when working with 3D models to ensure clean and accurate renders.
  • 🎥 The streamer plans to collaborate with other creators on future streams, focusing on making art and exploring AI-generated content.

Q & A

  • What is the main feature of Stable Video 3D discussed in the transcript?

    -The main feature of Stable Video 3D discussed is its ability to take a single frame or image and generate a 360-degree view of it by creating different views at various angles.

  • What was the intended purpose of the Stable Video 3D model?

    -The intended purpose of the Stable Video 3D model was to teach users how to look at things and spin them around in 3D, generating views from each side for texture creation and other applications.

  • How can users get started with Stable Video 3D and its different versions?

    -Users can get started with Stable Video 3D by downloading the model from the provided links in the description, agreeing to licensing terms, and installing it in their checkpoints folder. The 'SV 3D u' version is recommended for beginners, while the 'SV 3D p' version is for more advanced users who want to move the camera around in 3D space.

  • What is the significance of the workflow shared by Kaji on Banad Doo?

    -The workflow shared by Kaji on Banad Doo is a useful guide for users to follow when working with Stable Video 3D. It helps in loading an image, resizing it, feeding it to the model, and generating a 360-degree view of the object.

  • What are some potential applications of the 360-degree views generated by Stable Video 3D?

    -Potential applications include creating Splats and Nerfs, generating textures, and eventually rebuilding meshes with Point clouds. It can also be used for research and non-commercial purposes, as it is not intended for commercial use.

  • How does the speaker feel about AI music generators and plugins?

    -The speaker is more excited about AI music plugins that can be integrated into existing digital audio workstations (DAWs) like Ableton or Logic, rather than AI music generators that create fully fledged music on their own.

  • What is the speaker's perspective on using AI tools in workflows?

    -The speaker prefers a modular approach, using AI tools for specific tasks and integrating them into existing workflows. They value the ability to select and use a variety of tools for different aspects of a project, rather than relying on a single, all-in-one solution.

  • What issues did the speaker encounter while working with the Stable Video 3D model?

    -The speaker encountered issues with the model's requirement for high system RAM, the complexity of certain nodes, and the challenge of managing multiple workflows and projects simultaneously.

  • How does the speaker suggest improving the 3D models generated by Stable Video 3D?

    -The speaker suggests using additional tools and techniques, such as remeshing and shading, to improve the quality and appearance of the 3D models. They also mention the possibility of using multiple image inputs to enhance the model's accuracy.

  • What was the speaker's final verdict on the usability of Stable Video 3D?

    -The speaker found Stable Video 3D to be impressive and powerful, despite some challenges and limitations. They encouraged users to experiment with it and explore its potential for creating 3D views and models from 2D images.

Outlines

00:00

🎥 Introduction to Video Script

The video begins with the host experiencing audio issues and then transitioning into a discussion about exploring stable video 3D. The host talks about the software's ability to generate 360-degree views from a single image, mentioning its potential uses in creating Nerf-style 3D models and textures. The video also touches on the licensing terms and installation process of the software.

05:00

🌐 Applications of Stable Video 3D

The host delves into the applications of Stable Video 3D, discussing its use in creating Splats, Nerfs, and other 3D elements. The conversation shifts towards the potential of AI in generating textures and meshes using point clouds. The host shares their excitement for AI plugins in audio software and the desire for more integrated tools in their workflow.

10:02

🛠️ Installation and Workflow

The host provides a detailed guide on installing the necessary node suites for the workflow, including the KJ nodes and video helper suite. They discuss the importance of using Wiggly noodles for clarity in their streams and share their preference for separate workflows for different tasks. The video also includes a brief mention of the Blender logo being used in a workflow.

15:04

🤖 AI and 3D Modeling

The host experiments with various images, including a robot and a Furby, to demonstrate the capabilities of the 3D modeling software. They discuss the software's ability to understand the back of objects and its potential for creating 3D textures. The video also touches on the need for more RAM to run certain AI applications effectively.

20:08

🎨 Exploring 3D Mesh Generation

The host continues to explore 3D mesh generation, discussing the use of the tripos Sr tool and its ability to create meshes with vertex color textures. They share their experience with the tool and how it can be used to create simple 3D models that can be imported into Blender for further manipulation and shading.

25:08

🌿 Creating a Scene with 3D Plants

The host demonstrates how to create a scene with 3D plants using the software. They discuss the process of generating the plants, importing them into Blender, and arranging them on a plane using geometry nodes. The video also includes tips on adjusting the rotation and density of the plants to create a realistic scene.

30:17

🏙️ Generating Architectural Models

The host experiments with generating architectural models, specifically futuristic skyscrapers, using the software. They discuss the process of creating a collection of buildings, adjusting their positions and rotations, and instance them onto a plane to create a cityscape. The video also touches on the potential for using AI to block out scenes and the importance of good masks for 3D rendering.

35:20

🎲 Multi-View Experimentation

The host explores the possibility of using multi-view images to improve 3D modeling. They attempt to generate a batch of images with different views of a shoe and use them in the tripo Sr tool. The video includes discussions on the challenges of creating good masks and the impact of resolution on the quality of the 3D models.

40:26

🎨 Final Thoughts and Upcoming Streams

The host wraps up the video by summarizing the content covered, including the exploration of stable video 3D, tripo Sr, and their integration with Blender. They encourage viewers to create their own scenes and tag them. The video concludes with announcements of upcoming live streams and collaborations with other creators.

Mindmap

Keywords

💡Stable Video 3D

Stable Video 3D is a technology mentioned in the transcript that appears to generate 360-degree views from a single image. It is used to create a multi-view representation of an object, which can be particularly useful in 3D modeling and rendering. In the context of the video, the speaker is experimenting with this tool to understand its capabilities and potential applications in their creative work.

💡Nerf

Nerf, or Neural Radiance Fields, is a term used in computer graphics to describe a technique for creating 3D models from a collection of 2D images. It involves using deep learning to estimate the density and color of a scene, which can then be used to render the scene from novel viewpoints. In the video, the speaker mentions Nerf in relation to the capabilities of Stable Video 3D, suggesting it as a method for creating 3D content from 2D images.

💡Radiance Fields

Radiance Fields is a concept in computer graphics that refers to the distribution of light intensity in a 3D environment. It is used to simulate how light interacts with objects and surfaces, contributing to realistic rendering. The speaker brings up Radiance Fields when discussing the potential applications of the 360-degree views generated by Stable Video 3D, indicating that these views could be used to enhance the lighting effects in 3D scenes.

💡3D Meshes

A 3D mesh is a collection of vertices, edges, and faces that define the shape of a 3D model. It is the backbone of most 3D computer graphics, providing the structure upon which textures and materials are applied. In the video, the speaker is interested in using Stable Video 3D to generate 3D meshes from 2D images, which would allow for more dynamic and textured 3D representations.

💡Workflow

In the context of the video, a workflow refers to the sequence of steps or processes used to complete a task or project. The speaker discusses various workflows they have used or created, particularly in relation to using AI and 3D modeling tools. Workflows help streamline and organize complex tasks, making them more efficient and manageable.

💡Comfy

Comfy appears to be a software or platform used for 3D modeling and AI-based image manipulation. The speaker uses Comfy to integrate various AI models and tools into their creative process, allowing for the generation of 3D content and other visual effects. It seems to offer a user-friendly interface for complex tasks, making it easier for the speaker to experiment with different AI-driven functionalities.

💡Blender

Blender is a free and open-source 3D creation suite used for 3D modeling, animation, rendering, and post-production. In the video, the speaker discusses importing 3D models generated by AI tools into Blender for further manipulation and rendering, indicating that Blender is a key part of their 3D workflow.

💡AI Music

AI Music refers to music that is composed or generated by artificial intelligence. The speaker expresses excitement about the potential of AI in music creation, particularly in the development of AI music plugins that can be integrated into existing digital audio workstations (DAWs). The discussion highlights the speaker's interest in using AI to enhance their music production workflow.

💡Tripo Sr

Tripo Sr seems to be an AI model or tool that is used for generating 3D models or meshes with vertex color textures. The speaker uses it in combination with other tools and workflows to create 3D content. The output from Tripo Sr can be imported into Blender for further refinement and use in 3D scenes.

💡Masking

Masking in the context of the video refers to the process of isolating a subject from its background in an image. This is a crucial step in many image manipulation and 3D modeling tasks, as it allows for the selective editing of parts of an image. The speaker discusses the importance of getting a good mask when working with AI tools to ensure the quality of the final 3D render.

Highlights

Exploring the capabilities of Stable Video 3D, a tool that generates 360-degree views from a single image.

Discussing the potential of using AI to create 3D meshes and textures, particularly in the context of Nerf and Radiance fields.

Introducing the workflow for using Stable Video 3D, including the licensing terms and installation process.

Demonstrating how to use the workflow by kajai on Boko Doo for Stable Video 3D, including the setup and execution.

Exploring the use of AI in music generation and the potential for AI music plugins in digital audio workstations.

Discussing the importance of modularity in AI workflows and the benefits of using separate tabs for different processes.

Showing how to generate 3D models of various objects, such as robots, using AI and Stable Video 3D.

Highlighting the ability of Stable Video 3D to understand and generate the backside of objects, which many multi-view generators fail to do.

Exploring the use of AI in creating 3D textures and the potential for using these in various design applications.

Discussing the technical requirements for running AI models, such as the need for high RAM and VRAM.

Demonstrating how to create a 3D model of the Blender logo and the effectiveness of vector graphics in AI 3D generation.

Sharing tips on organizing and managing AI workflows, including the use of second workflows and batch processing.

Exploring the potential of using AI to generate 3D models of plants and other objects for scene decoration and design.

Discussing the challenges and limitations of using AI for 3D generation, including the need for high-quality inputs and the potential for artifacts.

Introducing the concept of using AI to generate a collection of 3D models for scene building and the creative possibilities it offers.

Providing a live demonstration of creating a cityscape using AI-generated 3D models of buildings.

Discussing the integration of AI-generated 3D models with Blender and other 3D software for further manipulation and rendering.

Sharing insights on the future of AI in 3D modeling and the potential for new tools and techniques.