Instructions to use gagong/JJabhongdoHyperNetworks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gagong/JJabhongdoHyperNetworks with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gagong/JJabhongdoHyperNetworks", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
๊ณต์ ๋ง๋น์ ์๋ ๋จ์ ๊นํ๋ ๊ทธ๋ฆผ์ ํ์ต์ํจ hypernetworks ํ์ผ. ์ฒซ ์๋์ด๋ฉฐ, ์ ๋๋ก ์ด๋ฏธ์ง๋ฅผ ๋ฃ์ง ์์๊ธฐ์ ๋ฏธํกํ ๋ฉด์ด ๋ง์ต๋๋ค. ๋๋ฆผ๋ถ์ค๋ก๋ ์ ์ ์ค์ ๋๋ค. ์ฌ๊ธฐ์๋ ์ข ๋ ๋ง์ ์ ๋๋ก ๋ ์ด๋ฏธ์ง๋ก ํ์ตํ ์์ ์ ๋๋ค.
A hypernetworks file trained on the picture of Kim Hong-do in "https://gongu.copyright.or.kr/". This is my first attempt, and there are many shortcomings because I didn't put the image properly. It is also being produced as a Dream Booth. We are going to learn with more proper images here.
์คํ ์ด๋ธ ๋ํจ์ 1.5๋ฒ์ ์ ์ฌ์ฉํ๊ณ ์์ต๋๋ค. ๋ค๋ฅธ ๋ชจ๋ธ์์ ์ ์๋๋๋์ง ์ ์ ์์ต๋๋ค. ๋ํ ๊ฐ์ ๋ชจ๋ธ์ ์ด๋ค ํ๋๋ผ๋ ์์ง์ ์ ๋๋ก ์๋ํ์ง ์๋ ๋ฉด์ด ์์ต๋๋ค.
I am using Stable Diffusion version 1.5. Don't know if it works well on other models. Also, even if you use the same model, there are aspects that still don't work properly.
'img2img'์ผ๋ก ์ธ ์ฉ๋๋ฅผ ๊ณ ๋ คํ์ฌ ๋ง๋ค์ด์ก์ต๋๋ค.
It was created considering the use of 'img2img'.
-Translated through Google Translate.
์ฌ์ฉ ๋ฐฉ๋ฒ
'stylekimhongdo' ๋ผ๋ ํ๋กฌํํธ๋ฅผ ๋ฃ์ผ๋ฉด ์๋ํฉ๋๋ค.
If I put the 'stylekimhongdo' prompt, it works.
-Translated through Google Translate.
์ํ ์ด๋ฏธ์ง sample image
๊ด๋ จ ๊ธ Related article
- Downloads last month
- -
