Instructions to use ByteDance/SDXL-Lightning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ByteDance/SDXL-Lightning with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ByteDance/SDXL-Lightning", 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
Update license, minor fix
Browse files- LICENSE.md +1 -0
LICENSE.md
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Copyright (c) 2024 Bytedance Inc.
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CreativeML Open RAIL++-M License dated July 26, 2023
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Section I: PREAMBLE
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Copyright (c) 2024 Bytedance Inc.
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Copyright (c) 2023 Stability AI
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CreativeML Open RAIL++-M License dated July 26, 2023
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Section I: PREAMBLE
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