Instructions to use Bioskop/lucyedge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Bioskop/lucyedge with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Bioskop/lucyedge", 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 Bioskop/lucyedge: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/Bioskop/lucyedge/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Bioskop/lucyedge@refs/pr/3/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Bioskop/lucyedge/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 18f943f1b0d399a4452d13c9b3243feab1fdf833957001d80cca39bf8091733c
- Size of remote file:
- 246 MB
- SHA256:
- 2a4311d3fc7b70396637a703ba65b7db30041ba536f569ae8f548312641a0fd6
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