GET3D
By nv-tlabs
dream-textures
Stable Diffusion built-in to Blender (by carson-katri)
| GET3D | dream-textures | |
|---|---|---|
| 17 | 72 | |
| 4,124 | 7,611 | |
| 0.6% | - | |
| 4.2 | 5.8 | |
| 7 months ago | 16 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
GET3D
Posts with mentions or reviews of GET3D.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-22.
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Egregoria is a city simulation with high granularity
Check out: https://github.com/nv-tlabs/GET3D
License looks open. Very demanding hardware requirements (8 A100s).
- Tell HN: The next generation of videogames will be great with midjourney
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Save money for figure by generate one
With CharTurner it might be possible to extrapolate out a 3D model 🤔 Nvidia was messing with it back in Fall of least year. https://github.com/nv-tlabs/GET3D
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Creating 3D models using NVIDIA Get3D
Get 3D Code: https://github.com/nv-tlabs/GET3D
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Ai generated 3d models?
GET3D
- Game development is about to go wild with AI
- Absolutely crazy - addon in blender to add textures to models with text prompts. Dream Textures (SD for Blender) - free addon. My god, it's accelerating at the speed of light.
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Do you have any tips for converting 2D image to 3D, have you tried asking SD to do various different angles of the same image?
You are going to have a hard time from an SD image as you can't reliably get other angles to build a model, Nvidia's Get3D can try from a single image but the results are basic from what I can make out but I have not run it myself yet : https://github.com/nv-tlabs/GET3D
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RTX 4090 Launch Thread - Surprise Inside
Honestly: I'm looking into getting a 4090, as someone with a 3090. I really, really push my card doing AI assisted video sequences, machine learning, simulations in blender, production for The largest metaverse convention in the world , and being able to record and stream to AV1 on the fly would be icing on the cake. Though I wish it had 48gb of Vram for custom ML training datasets to use nvidia's nerfs and tlabs Get3d, 24 will do for now. It also pushes through vr pretty well when paired with pci-e 5. Or running renderdoc or anything else. I'm currently working with a small team for an exhibit at Raindance Immersive, and I know the 30+ minutes it takes to generate 30 seconds of footage right now would be easially cut in half for this new show.
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This room is dynamically generated with GPT-3 creating its person, items and writings, while SD paints the pictures on the wall.
Do you have the resources to run https://github.com/nv-tlabs/GET3D to try to AI generate objects GPT-3 references?
dream-textures
Posts with mentions or reviews of dream-textures.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-17.
- Donut done with Artificial Intelligence and Blender
- Tell HN: The next generation of videogames will be great with midjourney
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After Diffusion, an After Effects Extension Integrating the SD web UI seamlessly.
I'm a long time advanced AE user and would gladly give feedback according to how I envision a nice workflow to be if you want. I recently got into dream textures for blender, which I think is a great reference for the direction things could be heading. It's still not viable for consistent video, but I love how they expose multiple control nets and their weights to be animatable for example. I also suggested them exposed (animatable) prompt weights, which the author now also plans for future release. I see you have such things planned as well for this plugin so big thumbs up!
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Resources for artists interesting in using StableDiffusion as a tool?
Dream Textures (SD for Blender) - https://github.com/carson-katri/dream-textures
- Using AI for 3d Game art
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ControlNet fully integrated with Blender using nodes!
Yes, and it can also automatically bake the texture onto the original UV map instead of the projected UVs. The guide is here: https://github.com/carson-katri/dream-textures/wiki/Texture-Projection
- Using DALL-E 2 to create brick and water textures in Unity.
- 3D animation attempt using Sketchup screenshots and ControlNet
- Blender 3.5
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Master AI Texture Projection for Blender 3
Dream AI latest release: https://github.com/carson-katri/dream-textures/releases
What are some alternatives?
When comparing GET3D and dream-textures you can also consider the following projects:
stable-dreamfusion - Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
stable-diffusion-webui - Stable Diffusion web UI
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
stable-diffusion - This version of CompVis/stable-diffusion features an interactive command-line script that combines text2img and img2img functionality in a "dream bot" style interface, a WebGUI, and multiple features and other enhancements. [Moved to: https://github.com/invoke-ai/InvokeAI]
hashcat - World's fastest and most advanced password recovery utility
stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM
magic3d-pytorch - Implementation of Magic3D, Text to 3D content synthesis, in Pytorch
stable-diffusion-nvidia-docker - GPU-ready Dockerfile to run Stability.AI stable-diffusion model v2 with a simple web interface. Includes multi-GPUs support.
DeepBump - Normal & height maps generation from single pictures
inline_tweak - Tweak a Rust value directly in the source code
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui]
GET3D vs stable-dreamfusion
dream-textures vs stable-diffusion-webui
GET3D vs instant-ngp
dream-textures vs stable-diffusion
GET3D vs hashcat
dream-textures vs stable-diffusion
GET3D vs magic3d-pytorch
dream-textures vs stable-diffusion-nvidia-docker
GET3D vs stable-diffusion-webui
dream-textures vs DeepBump
GET3D vs inline_tweak
dream-textures vs stable-diffusion-webui