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

- Xet hash:
- dc9921a4dd32bb4b7fb5d641215b1a08705b5446f1fb0d96e9dd7057d20b271d
- Size of remote file:
- 1.37 MB
- SHA256:
- c6cd0c39e3fc27e400234776744b2472dd58d9fa7736a7fb5f471381a8d8d2b0
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