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:
- 3a6aff0923741fbe2761e5108ffe02d178a75edce4a418eb8011c2b137573bd6
- Size of remote file:
- 2.13 GB
- SHA256:
- 86e50bab3d7597d78862b646a7c212a53626b9cd822f476e4c0bb8bf578d6f65
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.