stable-diffusion-nvidia-docker
nvidia-gpu-scheduler
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| stable-diffusion-nvidia-docker | nvidia-gpu-scheduler | |
|---|---|---|
| 6 | 1 | |
| 346 | 7 | |
| - | - | |
| 7.0 | 0.0 | |
| 6 months ago | over 1 year ago | |
| Python | Python | |
| MIT License | MIT License |
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stable-diffusion-nvidia-docker
- Does Stable Diffusion support NVLink?
- The guy behind the viral fake photo of the Pope in a puffy coat says using AI to make images of celebrities 'might be the line' — and calls for greater regulation
- Utilizing Multiple GPUs - Repurposing Mining Rig
- Can we start a list of Stable Diffusion 2.0 compatible UI's?
- Using several computers (GPUs) to speed up Stable Diffusion computation times
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Clustering GPUs for use with SD
Any update? I just searched through the discord for dataparallel and found someone mentioned this link to a docker image which appears to support multi GPU but I don't have any experience with docker and haven't seen where dataparallel is used in any of the files. I'm also searching through all the mentions of K80.
nvidia-gpu-scheduler
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[D] How to be more productive while doing Deep Learning experiments?
Sure. No, a simple bash script is not enough. In my case, we have several machines shared in the department, some with GPUs, some without. What I have is a python script that gets a list of jobs and then it schedule them in the first available machine (according to memory/CPU/GPU availability). Unfortunately, what I have is really entangled with our computing platform (Docker-based with a shared filesystem) and not really easy to have it as standalone project (that's why I said "know you infrastructure"). The most similar thing that I could find online is this project. I believe there are then some HPC tools that could be useful (e.g. Slurm), but that's way too much for what we need.
What are some alternatives?
deforum-stable-diffusion
detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
dream-textures - Stable Diffusion built-in to Blender
fastapi-cloud-tasks - GCP's Cloud Tasks + Cloud Scheduler + FastAPI = Partial replacement for celery.
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
Stable-Diffusion-2.0-CPU-or-GPU-Colab-Gradio - Config files for my GitHub profile.
tmux - tmux source code
Mask_RCNN_Pytorch - Mask R-CNN for object detection and instance segmentation on Pytorch
Sacred - Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
dream-factory - Multi-threaded GUI manager for mass creation of AI-generated art with support for multiple GPUs.
aim - Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.