stable-dreamfusion
Longhand
stable-dreamfusion | Longhand | |
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41 | 2 | |
7,813 | 16 | |
- | - | |
7.2 | 7.1 | |
5 months ago | 5 months ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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stable-dreamfusion
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When are we getting stable diffusion for 3d models or 3d scenes?
Who is working on it? I've seen a few other models that do this, like Stable-Dreamfusion.
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Is it possible for me to approximate a depth map from a generated image and make a 3D model?
I haven't tried Stable-DreamFusion, but it might be able to take an input image along with a prompt?
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Meet ProlificDreamer: An AI Approach That Delivers High-Fidelity and Realistic 3D Content Using Variational Score Distillation (VSD)
similar to Magic3D and Dreamfusion / Stable-Dreamfusion, but this one looks a lot more vivid and detailed!
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How would you all feel about 3D Stable Diffusion?
I've seen a few "text-to-3D" models that use Stable Diffusion. Zero-1-to-3 and Stable-DreamFusion appear to be capable of generating 3D models from text prompts.
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Do any other software devs feel left behind by AI? I feel like I'm working on yesterday's tech
Ever heard of Stable Dreamfusion ? Open source text to 3D mesh model
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Text-to-image-to-3D on 16GB GPU after stable-dreamfusion repo update
I followed the steps in this repo. They added my turtle as an example to the repo after their latest improvements. https://github.com/ashawkey/stable-dreamfusion
- I recreated Beat Saber in Unity only following Chat GPT. The code, the VFX and even the 3D models are made by an AI. Full video in the first comment.
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ControlNet v1.1 has been released
There is an (independent?) implementation here, released last week to 0.1, but it already has a 100 issues.
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Would it be possible for SD to make 3D deisgns that I can later 3D print?
But there's stable-dreamfusion, still not good but you could try it.
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Game prototype using AI assisted graphics
Dreamfusion -- text-to-3d seems like it could be useful here: https://dreamfusion3d.github.io/ (once successfully opensourced, see https://github.com/ashawkey/stable-dreamfusion)
Rigging also looks like it could have a decent AI/DNN solution: https://arxiv.org/pdf/2005.00559.pdf
Longhand
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A working implementation of text-to-3D DreamFusion, powered by Stable Diffusion
Currently working with a student group to build out 3D word cloud generator (https://github.com/Cook4986/Longhand), and the prospect of arbitrary, hyper-specific mesh arrays on demand is thrilling.
Right now, we are relying on the Sketchfab API to populate our (Blender) scenes, which is an imperfect lens through which to visualize the sort of humanities-centric corpora our non-technical "clientele" are studying.
Since we are publishing these scenes via WebXR (Hubs), we have specific criteria related to poly counts (associated latency, bandwidth, etc) and usability. Regarding the latter concern, it's not clear that our end users will want to wait for compute.
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Ask HN: What projects are you working on this weekend?
Revising a sci-fi story about the first pizza place on Mars: https://www.dropbox.com/s/wdwj6fn2qjywoct/Best%20Pizza_Cook2...
Also, trying to figure out how to distribute ~1000 arbitrary meshes in 3D space (https://github.com/Cook4986/Longhand), and installing the window AC units (Boston suburbs).
What are some alternatives?
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
ngs - Next Generation Shell (NGS)
dreamgaussian - Generative Gaussian Splatting for Efficient 3D Content Creation
nn_vis - A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.
zero123plus - Code repository for Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.
ComfyUI_Noise - 6 nodes for ComfyUI that allows for more control and flexibility over noise to do e.g. variations or "un-sampling"
stable-diffusion-webui-depthmap-script - High Resolution Depth Maps for Stable Diffusion WebUI
GET3D
stable-diffusion-webui - Stable Diffusion web UI
style2paints - sketch + style = paints :art: (TOG2018/SIGGRAPH2018ASIA)
ControlNet - Let us control diffusion models!
text2mesh - 3D mesh stylization driven by a text input in PyTorch