ROCm_Documentation
CLIP-Mesh
ROCm_Documentation | CLIP-Mesh | |
---|---|---|
2 | 4 | |
108 | 416 | |
- | - | |
2.8 | 3.9 | |
11 months ago | 5 months ago | |
CSS | Python | |
- | MIT License |
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ROCm_Documentation
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AI Seamless Texture Generator Built-In to Blender
https://rocmdocs.amd.com/en/latest/Deep_learning/Deep-learni...
RadeonOpenCompute/ROCm_Documentation: https://github.com/RadeonOpenCompute/ROCm_Documentation
ROCm-Developer-Tools/HIPIFYhttps://github.com/ROCm-Developer-Tools/HIPIFY :
> hipify-clang is a clang-based tool for translating CUDA sources into HIP sources. It translates CUDA source into an abstract syntax tree, which is traversed by transformation matchers. After applying all the matchers, the output HIP source is produced.
ROCmSoftwarePlatform/gpufort: https://github.com/ROCmSoftwarePlatform/gpufort :
> GPUFORT: S2S translation tool for CUDA Fortran and Fortran+X in the spirit of hipify
ROCm-Developer-Tools/HIP https://github.com/ROCm-Developer-Tools/HIP:
> HIP is a C++ Runtime API and Kernel Language that allows developers to create portable applications for AMD and NVIDIA GPUs from single source code. [...] Key features include:
> - HIP is very thin and has little or no performance impact over coding directly in CUDA mode.
> - HIP allows coding in a single-source C++ programming language including features such as templates, C++11 lambdas, classes, namespaces, and more.
> - HIP allows developers to use the "best" development environment and tools on each target platform.
> - The [HIPIFY] tools automatically convert source from CUDA to HIP.
> - * Developers can specialize for the platform (CUDA or AMD) to tune for performance or handle tricky cases.*
- Why is ROCm still such a dog's breakfast?
CLIP-Mesh
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New AI Can Procedurally Produce 3D Models From Text Input
I found a similar program called CLIP-Mesh that appears to be self-hosted.
- AI Seamless Texture Generator Built-In to Blender
-
[R] CLIP-Mesh: Generating textured meshes from text using pretrained image-text models
Code: Github
- Clip-Mesh: Generating textured meshes from text with pretrained image-text model
What are some alternatives?
clang-ocl - OpenCL compilation with clang compiler.
HIPIFY - HIPIFY: Convert CUDA to Portable C++ Code [Moved to: https://github.com/ROCm/HIPIFY]
gpufort - GPUFORT: S2S translation tool for CUDA Fortran and Fortran+X in the spirit of hipify
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]
dream-textures - Stable Diffusion built-in to Blender
ZLUDA - CUDA on AMD GPUs
i-love-compute