Instructions to use tensorart/Bokeh_Depth_Controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tensorart/Bokeh_Depth_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_Depth_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 Settings
- Draw Things
- DiffusionBee

- Xet hash:
- bb783b98ec2dc2105f26f446472a958b07585a385de94b7793dd6d58282c7e3d
- Size of remote file:
- 2.29 MB
- SHA256:
- ea00494db4e832d627427c10e020e723aec99dfcec8a9f069c57561b9cb6f9e5
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