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:
- 3009a2d64325ec04995c377e1fc8161aec858dd7a7c07363d9d6ba45e1c886ad
- Size of remote file:
- 1.45 GB
- SHA256:
- 4832dcf17dba1e491d3398afbb8a7eee234485dfbaebd78c548822fc51dd985f
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