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
File size: 1,897 Bytes
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license: creativeml-openrail-m
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Trained on around 100 images at 768x768 resolution.
Download "ComplexLA Style.ckpt" and add it to your model folder.
Use prompt: ComplexLA style
Use resolution near 768x768, lower resolution works but quality will not be as good.







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