Instructions to use bbbboiwow/cocccck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bbbboiwow/cocccck with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bbbboiwow/cocccck", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| import { $el } from "../../../../scripts/ui.js"; | |
| export function addStylesheet(url) { | |
| if (url.endsWith(".js")) { | |
| url = url.substr(0, url.length - 2) + "css"; | |
| } | |
| $el("link", { | |
| parent: document.head, | |
| rel: "stylesheet", | |
| type: "text/css", | |
| href: url.startsWith("http") ? url : getUrl(url), | |
| }); | |
| } | |
| export function getUrl(path, baseUrl) { | |
| if (baseUrl) { | |
| return new URL(path, baseUrl).toString(); | |
| } else { | |
| return new URL("../" + path, import.meta.url).toString(); | |
| } | |
| } | |
| export async function loadImage(url) { | |
| return new Promise((res, rej) => { | |
| const img = new Image(); | |
| img.onload = res; | |
| img.onerror = rej; | |
| img.src = url; | |
| }); | |
| } | |