conda create -n diffusers
conda activate diffusers
conda install -y pytorch torchvision torchaudio cudatoolkit=11.6 -c pytorch -c conda-forge
pip install diffusers transformers piexifFor hf_stablediffusion_img2img.py download https://github.com/huggingface/diffusers/blob/main/examples/inference/image_to_image.py
| """ | |
| stable diffusion dreaming | |
| creates hypnotic moving videos by smoothly walking randomly through the sample space | |
| example way to run this script: | |
| $ python stablediffusionwalk.py --prompt "blueberry spaghetti" --name blueberry | |
| to stitch together the images, e.g.: | |
| $ ffmpeg -r 10 -f image2 -s 512x512 -i blueberry/frame%06d.jpg -vcodec libx264 -crf 10 -pix_fmt yuv420p blueberry.mp4 |
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <title>Print Inventory Labels at Papa's</title> | |
| <style> | |
| * { | |
| box-sizing: border-box; | |
| } | |
| /** | |
| * @function stripJSON | |
| * @desc - This function removes selected object keys | |
| * @param {Object} json - JavaScript object to strip | |
| * @param {Object[]} keys - array of selected keys (string) | |
| * @return {Object} - deep copy of object without keys | |
| */ | |
| function stripJSON(json, keys) { | |
| if (json === null || json === undefined) return json; | |
| let obj = {}, key; |
| const fs = require('fs'); | |
| const path = require('path'); | |
| const log = require('@vladmandic/pilogger'); | |
| const tf = require('@tensorflow/tfjs'); | |
| const tfnode = require('@tensorflow/tfjs-node'); | |
| function getTensorFromImage(path) { | |
| if (!fs.existsSync(path)) return null; | |
| const data = fs.readFileSync(path); | |
| const tfimage = tfnode.node.decodeImage(data); |
| API Name | Memory | vCPUs | Physical Processor | Network Performance | Linux On Demand cost | Linux Reserved cost |
|---|---|---|---|---|---|---|
| a1.2xlarge | 16.0 GiB | 8 vCPUs | AWS Graviton Processor | Up to 10 Gigabit | $148.92 monthly | $93.80 monthly |
| a1.4xlarge | 32.0 GiB | 16 vCPUs | AWS Graviton Processor | Up to 10 Gigabit | $297.84 monthly | $187.61 monthly |
| a1.large | 4.0 GiB | 2 vCPUs | AWS Graviton Processor | Up to 10 Gigabit | $37.23 monthly | $23.43 monthly |
| a1.medium | 2.0 GiB | 1 vCPUs | AWS Graviton Processor | Up to 10 Gigabit | $18.61 monthly | $11.75 monthly |
| a1.metal | 32.0 GiB | 16 vCPUs | AWS Graviton Processor | Up to 10 Gigabit | $297.84 monthly | $187.61 monthly |
| a1.xlarge | 8.0 GiB | 4 vCPUs | AWS Graviton Processor | Up to 10 Gigabit | $74.46 monthly | $46.93 monthly |
| c1.medium | 1.7 GiB | 2 vCPUs | Intel Xeon Family | Moderate | $94.90 monthly | $66.43 monthly |
| #!/usr/bin/env python3 | |
| """ | |
| Example of a generic Mixout implementation. (Lee et al., 2019). | |
| https://arxiv.org/abs/1909.11299 | |
| Implementation by Stephen Roller (https://stephenroller.com). | |
| Example output: |
| #!/usr/bin/env python3 | |
| """ | |
| Example of a generic Mixout implementation. (Lee et al., 2019). | |
| https://arxiv.org/abs/1909.11299 | |
| Implementation by Stephen Roller (https://stephenroller.com). | |
| Example output: |
| <?php | |
| /* | |
| Plugin Name: Custom Registration Fields | |
| Plugin URI: | |
| Description: | |
| Version: 0.1 | |
| Author: CSSIgniter | |
| Author URI: | |
| License: GPLv2 or later | |
| License URI: http://www.gnu.org/licenses/gpl-2.0.html |
| from tensorflow.python.client import device_lib | |
| def get_available_gpus(): | |
| local_device_protos = device_lib.list_local_devices() | |
| return [x.name for x in local_device_protos if x.device_type == 'GPU'] | |
| get_available_gpus() |