Instructions to use tensorart/Bokeh_Line_Controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tensorart/Bokeh_Line_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("tensorart/Bokeh_Line_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
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 24f3953a9038c6c6bcc239ab4b6e12d00e8fae335e6e7378d7a6a99f2bdec8da
- Size of remote file:
- 3.07 MB
- SHA256:
- ad1f40fb44cd5c91a3d644da4d8b73d1dd3813e57ff114ae1aa2c55f1f805527
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