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 Settings
- Draw Things
- DiffusionBee
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README.md
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pipeline_tag: text-to-image
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tags:
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- stable-diffusion
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pipeline_tag: text-to-image
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tags:
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- stable-diffusion
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No paying, for sharing.
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免费,共享。
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你可以下载并使用这些模型,但是必须保证不用于任何盈利用途,该项目遵守AGPL-V3。
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You can download and use these models, but you must guarantee that they will not be used for any profit-making purposes. This project complies with AGPL-V3.
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