pydlpack
3d-ken-burns
| pydlpack | 3d-ken-burns | |
|---|---|---|
| 1 | 5 | |
| 5 | 1,499 | |
| - | - | |
| 6.9 | 3.8 | |
| 4 months ago | 2 months ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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pydlpack
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?
stable-diffusion-rocm
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
cupy - NumPy & SciPy for GPU
halutmatmul - Hashed Lookup Table based Matrix Multiplication (halutmatmul) - Stella Nera accelerator
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.
DeepBump - Normal & height maps generation from single pictures