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
Update README.md
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README.md
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@@ -57,7 +57,8 @@ negative_prompt_3=""
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image = pipe(
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prompt,
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num_inference_steps=30,
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negative_prompt=negative_prompt,
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control_image=control_image,
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height=1728,
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width=1152,
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image = pipe(
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prompt,
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num_inference_steps=30,
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negative_prompt=negative_prompt,
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negative_prompt_3=negative_prompt_3,
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control_image=control_image,
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height=1728,
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width=1152,
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