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
File size: 1,737 Bytes
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license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- food
widget:
- text: "a photo of a duckduck roast_duck walking in the water"
example_title: photo
- text: "A painting of of a duckduck roast_duck wearing a suit, natural light, in the sky, with bright colors, by Studio Ghibli"
example_title: painting
- 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"
example_title: satellite photo
---
# DreamBooth model for the duckduck concept trained by shadow.
This is a Stable Diffusion model fine-tuned on the duckduck concept with DreamBooth. It can be used by modifying the `instance_prompt`: **a photo of duckduck roast_duck**
This model was created as part of the DreamBooth Hackathon 🔥. Visit the [organisation page](https://huggingface.co/dreambooth-hackathon) for instructions on how to take part!
## Description
This is a Stable Diffusion model fine-tuned on `roast_duck` images for the food theme,
for the Hugging Face DreamBooth Hackathon, from the HF CN Community,
corporated with the HeyWhale.





## Usage
```python
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('shadow/duckduck-roast_duck-heywhale')
image = pipeline().images[0]
image
```
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