Instructions to use gagong/korean-sumukhwa-model-ver-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gagong/korean-sumukhwa-model-ver-1 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/korean-sumukhwa-model-ver-1", 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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README.md
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@@ -19,7 +19,7 @@ Guide for Using Korean Painting Model based on SD1.5
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Continuing from the previous Hypernetworks, I am sharing the fine-tuned model and providing a guide for its usage. The data used for training includes selected materials from Kim Hong-do's paintings available on the Gongu Sharing Market and the Korean painting dataset on AI Hub.
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# 모델에 사용된 자료 출처
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Sources of the data used in the model:
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- 공유마당 https://gongu.copyright.or.kr/gongu/search/search/list.do?viewType=&collection=gongu_wrt&kwd=%EA%B9%80%ED%99%8D%EB%8F%84&
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- Ai허브 https://www.aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&aihubDataSe=realm&dataSetSn=71380
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Continuing from the previous Hypernetworks, I am sharing the fine-tuned model and providing a guide for its usage. The data used for training includes selected materials from Kim Hong-do's paintings available on the Gongu Sharing Market and the Korean painting dataset on AI Hub.
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# 모델에 사용된 자료 출처
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# Sources of the data used in the model:
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- 공유마당 https://gongu.copyright.or.kr/gongu/search/search/list.do?viewType=&collection=gongu_wrt&kwd=%EA%B9%80%ED%99%8D%EB%8F%84&
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- Ai허브 https://www.aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&aihubDataSe=realm&dataSetSn=71380
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