Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
food
Instructions to use shadow/duckduck-roast_duck-heywhale with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shadow/duckduck-roast_duck-heywhale with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("shadow/duckduck-roast_duck-heywhale", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of a duckduck roast_duck walking in the water" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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example_title: photo
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- text: "A painting of of a duckduck roast_duck wearing a suit, natural light, in the sky, with bright colors, by Studio Ghibli"
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example_title: painting
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- text:"a pov google earth satellite photo of a duckduck roast_duck running,by the vaporwave pool,cinematic lighting , macro lens, iphone x,by enki bilal,highly detailed, HDR, UHD, 64K"
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example_title:satellite photo
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# DreamBooth model for the duckduck concept trained by shadow.
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example_title: photo
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- text: "A painting of of a duckduck roast_duck wearing a suit, natural light, in the sky, with bright colors, by Studio Ghibli"
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example_title: painting
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- text: "a pov google earth satellite photo of a duckduck roast_duck running,by the vaporwave pool,cinematic lighting , macro lens, iphone x,by enki bilal,highly detailed, HDR, UHD, 64K"
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example_title: satellite photo
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# DreamBooth model for the duckduck concept trained by shadow.
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