random-pose-generator
fastsdcpu
| random-pose-generator | fastsdcpu | |
|---|---|---|
| 3 | 6 | |
| 12 | 913 | |
| - | - | |
| 5.9 | 9.5 | |
| about 1 year ago | 16 days ago | |
| Python | Python | |
| MIT License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
random-pose-generator
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The tilt :(
yes, 1000s for poses sorted manually + mens poses + animal poses + vehicles + windows batch processing too developed and opensourced for controlnets https://github.com/dinilvalsan/random-pose-generator , the poses from civit is less than 2% of poses. Since most downloads came from female poses, i focused on that. People like you are that inspires me to do stuff for free.
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Hi all! just want to share a small tool I had created for batch image processing from poses folder + 100 Woman Poses
hi, it is a know issue of pyinstaller as seen here https://stackoverflow.com/questions/43777106/program-made-with-pyinstaller-now-seen-as-a-trojan-horse-by-avg, I totally understand your concern, if you want yo can always directly build exe using pyinstaller, I have given open source code here https://github.com/dinilvalsan/random-pose-generator
- Hi all, I made a small tool to load random poses from a folder and generate images using current running instance, localhost, runpod, colab etc.
fastsdcpu
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FastSD CPU beta 21 - SDXL Turbo OpenVINO support (2.5 seconds on CPU)
Release : https://github.com/rupeshs/fastsdcpu/releases/tag/v1.0.0-beta.21
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Krita AI Diffusion
Too bad I don't have the Hardware to run it. Anyone had success with stable diffusion on Steam Deck ? The only thing that works for me is https://github.com/rupeshs/fastsdcpu , but it takes 1m per 512x512 image and is LCM
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$95 AMD CPU Becomes 16GB GPU to Run AI Software
> one minute and 50 seconds to generate a 512 x 512-pixel image with the default setting of 50 steps
A little over 2s/iter? That is... Not great.
It is slower than CPU diffusion: https://github.com/rupeshs/fastsdcpu
Stable Diffusion in particular doesn't need much VRAM anyway. I get that many people are stuck on lower end computers, but ~4GB is not an unreasonable requirement.
- FLaNK Stack Weekly for 30 Oct 2023
- Generate images in one second on your Mac using a latent consistency model
- rupeshs/fastsdcpu: Fast stable diffusion CPU
What are some alternatives?
ControlNet-for-Diffusers - Transfer the ControlNet with any basemodel in diffusers🔥
Deep-Learning-Ultra - Open source Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in PyTorch, OpenCV (compiled for GPU), TensorFlow 2 for GPU, PyG and NVIDIA RAPIDS
controlnetvideo - Apply controlnet to video clips
safetensors_util - Utility for Safetensors Files
SOPG - Secure-Obscure Password Generator
sd-gui - Clean and simple Stable Diffusion GUI for macOS, Windows, and Linux
DWPose - "Effective Whole-body Pose Estimation with Two-stages Distillation" (ICCV 2023, CV4Metaverse Workshop)
qlora - QLoRA: Efficient Finetuning of Quantized LLMs
AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
latent-consistency-model - Run Latent Consistency Models on your Mac
stablediffusion-infinity - Outpainting with Stable Diffusion on an infinite canvas
jupyter-notebook-package - A Kurtosis package for Python data engineers, deploying a Jupyter notebook along with a configurable set of databases, and a visualization tool (Streamlit)