Instructions to use Conflictx/Complex-Lineart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Conflictx/Complex-Lineart with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Conflictx/Complex-Lineart", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 69b39a753161e0ee726ea663ae01e3f461d4265e4b8843bfa62fa71d7c32c5c9
- Size of remote file:
- 492 MB
- SHA256:
- 42403d9023475c0647d240e08134546fa912f93573a365bdb0df363bd5370c30
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.