Instructions to use lige/lige_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lige/lige_models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lige/lige_models", 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
- Draw Things
- DiffusionBee
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综合资源获取渠道与常用工具4.0--六月离歌编.txt
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@@ -70,4 +70,5 @@ NovelAI信息并联计划:https://www.kdocs.cn/l/cre0TwbMkdx3
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使用AI请标明!!!旗帜鲜明地反对一切不合理的盈利!!!
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下载使用这些资源时,请对各个无私的资源分享者和编写者致以敬意!!!
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该文档使用CC BY-NC-SA 4.0协议。
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编者:六月离歌 日期:2023-2-3
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使用AI请标明!!!旗帜鲜明地反对一切不合理的盈利!!!
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下载使用这些资源时,请对各个无私的资源分享者和编写者致以敬意!!!
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该文档使用CC BY-NC-SA 4.0协议。
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欢迎与我分享交流QQ664479077。
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编者:六月离歌 日期:2023-2-3
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