DeepBump
stable-diffusion
DeepBump | stable-diffusion | |
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5 | 142 | |
934 | 2,438 | |
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2.7 | 9.8 | |
about 1 year ago | over 1 year ago | |
Python | Jupyter Notebook | |
GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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DeepBump
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Normal (Height) Maps
I stumbled upon this repository and want to try to improve the results. But i would need thousands of good pairs and downloading a a dozen packs here and there and drawing normal myself won't cut it.
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Making a trailer for my book with midjourney. What do you think?
If you already have Photoshop, you can also generate a depth map in there by using the Depth Blur neural filter and enabling "output depth map only". But there are also lots of other free tools for creating depth maps, some of which you can use within Blender, like https://github.com/HugoTini/DeepBump
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Stable Diffusion textures with Deepbump
Workflow: Stable diffusion base model works best in my experience. Use the prompt "____ texture". Once you find an image you are happy with, import it into Blender. Install the Deepbump addon: https://github.com/HugoTini/DeepBump. Go to shader view, add your texture to the color tab of the principled BSDF, and open up the menu on the side of the node graph with "n". Open the deepbump tab and click "generate normal map". Once that is completed, select the new image node and click "generate height map". Connect that up to the displacement node and the material output, and make sure you are using cycles. In the material properties panel, choose settings->surface->displacement "displacement only". You may need to subdivide your mesh.
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A Guide and Resources to Death Games - Made by the Community - Resources
Click Here!
- AI Seamless Texture Generator Built-In to Blender
stable-diffusion
- [Stable Diffusion] Aide nécessaire à l'augmentation de la taille du fichier maximum sur l'installation locale
- [Machine Learning] [P] Exécutez une diffusion stable sur le GPU de votre M1 Mac
- Its time!
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Anybody running SD on a Macbook Pro? What are you using and how did you install it?
Yes, you can install it with Python! https://github.com/lstein/stable-diffusion works with macOS, and you can control all the common parameter via their WebUI or CLI :)
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How do I save the arguments for images I create when using the terminal? (Apple M1 Pro)
I'm using lstein fork ("dream") and when I create an image from the terminal, it also writes back to the terminal like this:
- I Resurrected “Ugly Sonic” with Stable Diffusion Textual Inversion
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AI Seamless Texture Generator Built-In to Blender
> Whenever I ask for something like ‘seamless tiling xxxxxx’ it kinda sorta gets the idea, but the resulting texture doesn’t quite tile right.
Getting seamless tiling requires more than just have "seamless tiling" in the prompt. It also depends on if the fork you're using has that feature at all.
https://github.com/lstein/stable-diffusion has the feature, but you need to pass it outside the prompt. So if you use the `dream.py` prompt cli, you can pass it `"Hats on the ground" --seamless` and it should be perfectly tilable.
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Auto SD Workflow - Update 0.2.0 - "Collections", Password Protection, Brand new UI + more
From https://github.com/lstein/stable-diffusion
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Stable Diffusion GUIs for Apple Silicon
Stable Diffusion Dream Script: This is the original site/script for supporting macOS. I found this soon after Stable Diffusion was publicly released and it was the site which inspired me to try out using Stable Diffusion on a mac. They have a web-based UI (as well as command-line scripts) and a lot of documentation on how to get things working.
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Still can't believe this technology is real. My talentless 2 minute sketch on the left.
I’m pretty sure it works for M2 as well - basically the newer ARM-based Macs. The instructions to get it working are detailed! https://github.com/lstein/stable-diffusion
What are some alternatives?
dream-textures - Stable Diffusion built-in to Blender
waifu-diffusion - stable diffusion finetuned on weeb stuff
Material-Map-Generator - Easily create AI generated Normal maps, Displacement maps, and Roughness maps.
taming-transformers - Taming Transformers for High-Resolution Image Synthesis
3d-ken-burns - an implementation of 3D Ken Burns Effect from a Single Image using PyTorch
stable-diffusion-webui - Stable Diffusion web UI
zpy - Synthetic data for computer vision. An open source toolkit using Blender and Python.
diffusers-uncensored - Uncensored fork of diffusers
Cozy-Auto-Texture - A Blender add-on for generating free textures using the Stable Diffusion AI text to image model.
txt2imghd - A port of GOBIG for Stable Diffusion
diffusionbee-stable-diffusion-ui - Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.