You have installed GPG, then tried to commit and suddenly you see this error message after it:
error: gpg failed to sign the data
fatal: failed to write commit object
Debug
| #!/bin/bash | |
| iatest=$(expr index "$-" i) | |
| ####################################################### | |
| # SOURCED ALIAS'S AND SCRIPTS BY zachbrowne.me | |
| ####################################################### | |
| # Source global definitions | |
| if [ -f /etc/bashrc ]; then | |
| . /etc/bashrc | 
| # | |
| # webmention_server.py | |
| # | |
| # Copyright (C) 2021 - Emmanouil Pitsidianakis | |
| # | |
| # This program is free software: you can redistribute it and/or modify | |
| # it under the terms of the GNU Affero General Public License as published by | |
| # the Free Software Foundation, either version 3 of the License, or | |
| # (at your option) any later version. | |
| # | 
| --- | |
| date: <% tp.file.creation_date() %> | |
| type: meeting | |
| company: | |
| summary: " " | |
| --- | |
| tags: [[🗣 Meetings MOC]] | |
| Date: [[<% tp.date.now("YYYY-MM-DD-dddd") %>]] | |
| <% await tp.file.rename(tp.date.now("YYYY-MM-DD") + " " + tp.file.title) %> | |
| # [[<% tp.date.now("YYYY-MM-DD") + " " + tp.file.title %>]] | 
| Stable Diffusion is an AI art generation model similar to DALLE-2. | |
| Here are some prompts for generating art with Stable Diffusion. | |
| Example: | |
| - A ghostly apparition drifting through a haunted mansion's grand ballroom, illuminated by flickering candlelight. Eerie, ethereal, moody lighting. | |
| - portait of a homer simpson archer shooting arrow at forest monster, front game card, drark, marvel comics, dark, smooth | |
| - pirate, deep focus, fantasy, matte, sharp focus | |
| - red dead redemption 2, cinematic view, epic sky, detailed, low angle, high detail, warm lighting, volumetric, godrays, vivid, beautiful | |
| - a fantasy style portrait painting of rachel lane / alison brie hybrid in the style of francois boucher oil painting, rpg portrait | 
| I want you to help me make requests (prompts) for the Stable Diffusion neural network. | |
| Stable diffusion is a text-based image generation model that can create diverse and high-quality images based on your requests. In order to get the best results from Stable diffusion, you need to follow some guidelines when composing prompts. | |
| Here are some tips for writing prompts for Stable diffusion1: | |
| 1) Be as specific as possible in your requests. Stable diffusion handles concrete prompts better than abstract or ambiguous ones. For example, instead of “portrait of a woman” it is better to write “portrait of a woman with brown eyes and red hair in Renaissance style”. | |
| 2) Specify specific art styles or materials. If you want to get an image in a certain style or with a certain texture, then specify this in your request. For example, instead of “landscape” it is better to write “watercolor landscape with mountains and lake". | |
| 3) Specify specific artists for reference. If you want to get an image similar to the work of some | 
| import dotenv from 'dotenv' | |
| import { BskyAgent } from '@atproto/api' | |
| import { ProfileView } from '@atproto/api/dist/client/types/app/bsky/actor/defs' | |
| const bigLeagueMe = async () => { | |
| dotenv.config() | |
| // YOUR bluesky handle | |
| // Ex: user.bsky.social | |
| const handle = process.env.BSKYHANDLE || '' |