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:
- 6ab576ce12848b07d25b01fc9ad66a2d2faccacce225003bd61ec9907855f8e1
- Size of remote file:
- 4.93 GB
- SHA256:
- e49e3335f1eae053084fcfe6766c2edd89b3089ba46f7d7cd650826d00825d01
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