DeepBump
3d-ken-burns
| DeepBump | 3d-ken-burns | |
|---|---|---|
| 5 | 5 | |
| 934 | 1,496 | |
| - | - | |
| 2.7 | 3.8 | |
| about 1 year ago | 2 months ago | |
| Python | Python | |
| 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
3d-ken-burns
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Making a trailer for my book with midjourney. What do you think?
I guess you could use a free video editor (Davinci resolve is free with less features than payed version). And then try to use this open source script: https://github.com/sniklaus/3d-ken-burns, but it would definitely be harder.
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It's time to upscale FSR 2 even further: Meet FSR 2.1
installing ROCm is bit of a pain (there is little packaging, so you have to rebuild it yourself)
Search who's running Stable Diffusion on Nvidia and who's running on AMD: if you are using AMD, you are kind of on your own.
Finally, you have model with custom CUDA code (e.g. https://github.com/sniklaus/3d-ken-burns )
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Are there any websites that create an .mp4 of simple parallax effect movement from a jpg using machine learning?
There's a great Github with a script that I run on Google Colab that does a decent parallax effect in about 30 seconds through ML... but it just takes a while to get the instance spun up, and I've yet to figure out how to push out a 4k .mp4 from it. Surely someone has coding chops and can do this for parallax and monetize it like the Dall-E bot?
- How are people taking still photos and making these stereoscopic videos out of them? [READ COMMENTS]
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Battle Round 1: 3D Ken Burns Effect using PyTorch
Making use of: https://github.com/sniklaus/3d-ken-burns
What are some alternatives?
dream-textures - Stable Diffusion built-in to Blender
stable-diffusion-rocm
Material-Map-Generator - Easily create AI generated Normal maps, Displacement maps, and Roughness maps.
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
zpy - Synthetic data for computer vision. An open source toolkit using Blender and Python.
cupy - NumPy & SciPy for GPU
Cozy-Auto-Texture - A Blender add-on for generating free textures using the Stable Diffusion AI text to image model.
halutmatmul - Hashed Lookup Table based Matrix Multiplication (halutmatmul) - Stella Nera accelerator
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]
XNOR-popcount-GEMM-PyTorch-CPU-CUDA - A PyTorch implemenation of real XNOR-popcount (1-bit op) GEMM Linear PyTorch extension support both CPU and CUDA
pyhpc-benchmarks - A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python :rocket:
NewsMTSC - Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.