Instructions to use SketchProAI/lineart_controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SketchProAI/lineart_controlnet with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SketchProAI/lineart_controlnet", 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
- Xet hash:
- 777acf5957d9ecd1f60767b6b6d1f116fa033ecbfc3fe58ffddcaaf4a2ba56ba
- Size of remote file:
- 1.45 GB
- SHA256:
- 3eab52fe2f7a3e2ad7841eeb7ce2d78271869ced226681ee83d83b8fa22a163a
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