Creative Exploration - Stable Video 3D Installation and First Look - SV3D
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
🎥 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.
🌐 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.
🛠️ 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.
🤖 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.
🎨 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.
🌿 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.
🏙️ 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.
🎲 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.
🎨 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
💡Nerf
💡Radiance Fields
💡3D Meshes
💡Workflow
💡Comfy
💡Blender
💡AI Music
💡Tripo Sr
💡Masking
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.
