Instructions to use dmillar/wsj-hedcut-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dmillar/wsj-hedcut-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dmillar/wsj-hedcut-v1", 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
added images to README
#1
by dmillar - opened
README.md
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@@ -22,3 +22,11 @@ prompt = "wsj hedcut of a woman"
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image = pipe(prompt).images[0]
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image.save("./woman_hedcut.png")
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```
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image = pipe(prompt).images[0]
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image.save("./woman_hedcut.png")
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```
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## Sample Images
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