jochemstoel

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

jochemstoel

{
    "fas fa-address-book","fas fa-address-card","fas fa-adjust","fas fa-align-center","fas fa-align-justify","fas fa-align-left","fas fa-align-right","fas fa-allergies","fas fa-ambulance","fas fa-american-sign-language-interpreting","fas fa-anchor","fas fa-angle-double-down","fas fa-angle-double-left","fas fa-angle-double-right","fas fa-angle-double-up","fas fa-angle-down","fas fa-angle-left","fas fa-angle-right","fas fa-angle-up","fas fa-archive","fas fa-arrow-alt-circle-down","fas fa-arrow-alt-circle-left","fas fa-arrow-alt-circle-right","fas fa-arrow-alt-circle-up","fas fa-arrow-circle-down","fas fa-arrow-circle-left","fas fa-arrow-circle-right","fas fa-arrow-circle-up","fas fa-arrow-down","fas fa-arrow-left","fas fa-arrow-right","fas fa-arrow-up","fas fa-arrows-alt","fas fa-arrows-alt-h","fas fa-arrows-alt-v","fas fa-assistive-listening-systems","fas fa-asterisk","fas fa-at","fas fa-audio-description","fas fa-backward","fas fa-balance-scale","fas fa-ban","fas fa-band-aid","fas fa-barcode","fas fa-bars",

jochemstoel

jochemstoel

import os
import torch
from torch import autocast
from diffusers import StableDiffusionPipeline, DDIMScheduler

model_path = os.getenv('WEIGHTS_DIR')

scheduler = DDIMScheduler(beta_start=0.00085, beta_end=0.012, beta_schedule="scaled_linear", clip_sample=False, set_alpha_to_one=False)
pipe = StableDiffusionPipeline.from_pretrained(model_path, scheduler=scheduler, safety_checker=None, torch_dtype=torch.float16).to("cuda")

jochemstoel

import mediapy as media
import torch
from diffusers import StableDiffusionPipeline

device = "cuda"

if model_id.startswith("stabilityai/"):
  model_revision = "fp16"
else:
  model_revision = None

jochemstoel

import io
import time
import modal
import os
import torch
import diffusers

from pathlib import Path

stub = modal.Stub("local-model-mount-test")

jochemstoel

Setting up a new Git Repo

##Create a new repository on the command line

touch README.md
git init
git add README.md
git commit -m "first commit"

git remote add origin [email protected]:alexpchin/.git

jochemstoel

function convertDataURIToBinary(dataURI) {
        var BASE64_MARKER = ';base64,';
        var base64Index = dataURI.indexOf(BASE64_MARKER) + BASE64_MARKER.length;
        var base64 = dataURI.substring(base64Index);
        var raw = window.atob(base64);
        var rawLength = raw.length;
        var array = new Uint8Array(new ArrayBuffer(rawLength));

        for (i = 0; i < rawLength; i++) {
          array[i] = raw.charCodeAt(i);

jochemstoel

var touchstartX = 0;
var touchstartY = 0;
var touchendX = 0;
var touchendY = 0;

var gesuredZone = document.getElementById('gesuredZone');

gesuredZone.addEventListener('touchstart', function(event) {
    touchstartX = event.screenX;
    touchstartY = event.screenY;

jochemstoel

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