Instructions to use leonvanbokhorst/lac040 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use leonvanbokhorst/lac040 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("leonvanbokhorst/lac040", 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 leonvanbokhorst/lac040: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/leonvanbokhorst/lac040/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://leonvanbokhorst/lac040/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/leonvanbokhorst/lac040/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 22bf134f74ba3bc79b4f348c38fd4e7231e618e8560b3ca21c57f20dcaf58ced
- Size of remote file:
- 492 MB
- SHA256:
- 4ef6f21d70cb4a4c4890edb3c40ecca531eb09855be403c1bc1049d48048fec9
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