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:
- 035074181238f769a1da030550a7703cf36ac4d5281a6c6340c7d8579ff220e4
- Size of remote file:
- 3.44 GB
- SHA256:
- 33079095f4792de08f50cf9301905cb017577f8047adb8434bf992bc5fa644bb
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