Instructions to use ModelsLab/lcm-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ModelsLab/lcm-chinese with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ModelsLab/lcm-chinese", 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
Download text_encoder/__pycache__/modeling_chatglm.cpython-38.pyc from ModelsLab/lcm-chinese: direct link, hf CLI and curl.
- Browser
- Download file 33.6 kB
-
https://huggingface.co/ModelsLab/lcm-chinese/resolve/main/text_encoder/__pycache__/modeling_chatglm.cpython-38.pyc
- Command line
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hf download hf://ModelsLab/lcm-chinese/text_encoder/__pycache__/modeling_chatglm.cpython-38.pyc
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curl -L -o modeling_chatglm.cpython-38.pyc https://huggingface.co/ModelsLab/lcm-chinese/resolve/main/text_encoder/__pycache__/modeling_chatglm.cpython-38.pyc
33.6 kB
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