Instructions to use igorshmel/black-sharp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use igorshmel/black-sharp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("igorshmel/black-sharp", 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
- Xet hash:
- 1e10a68b03456c0b3a814c2df6cf9e2a0e964aa3d896c66df8be69b0f65b43bd
- Size of remote file:
- 492 MB
- SHA256:
- 3c8efa7627610f09e917b4b8879725c7e1c0bbc38e3cb76d63b247ea65825174
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.