Instructions to use hanzogak/comradeshipLU-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hanzogak/comradeshipLU-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hanzogak/comradeshipLU-v2", 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
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Download README-KO.md from hanzogak/comradeshipLU-v2: direct link, hf CLI and curl.
- Browser
- Download file 409 Bytes
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https://huggingface.co/hanzogak/comradeshipLU-v2/resolve/main/README-KO.md
- Command line
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hf download hf://hanzogak/comradeshipLU-v2/README-KO.md
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curl -L -o README-KO.md https://huggingface.co/hanzogak/comradeshipLU-v2/resolve/main/README-KO.md
409 Bytes
์ ์ฐ์ LU (v2 ๋ฐ๋งคํ)
์ ์ฐ์ ๋ ๊ณ์๋์ด์ผ ํ๋ค.
comradeshipLU-v2 "๋ก๋น์จ"
neta-lumina-v1.0๋ฅผ ๊ธฐ๋ฐ์ผ๋ก ํ๋ํ ๋ชจ๋ธ์ ๋๋ค.
์ด ๋ชจ๋ธ์ ๋ณํฉ์์ v2T22๋ ๊ฐ์ผ๋ฉฐ, ๋จ์ง neta-lumina-v1.0 ๋ชจ๋ธ์ ๋ผ์ด์ ์ค๊ฐ Apache License 2.0๋ก ๋ณ๊ฒฝ๋๋ฉด์ v2T22์ Apache License 2.0๋ฅผ ์ ์ฉํ๋๊ฒ์ ๋ชฉํ๋ก ๋ค์ LoRA๋ฅผ ๋ณํฉํ์ ๋ฟ์ ๋๋ค.