Instructions to use minusthousand/lv-sb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use minusthousand/lv-sb with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("minusthousand/lv-sb", 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/pytorch_model.bin from minusthousand/lv-sb: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/minusthousand/lv-sb/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://minusthousand/lv-sb/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/minusthousand/lv-sb/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- f3c2ae46a11139524919f7c678b3f15788614ad271f32e7cefba0e8c2cef3bf0
- Size of remote file:
- 492 MB
- SHA256:
- 57931ec25902253ba3ce70861c1236c2552ce8f4cd30c51901fb61b9e4431b67
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