Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
animal
Instructions to use ashish-soni08/jacob-dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ashish-soni08/jacob-dog with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ashish-soni08/jacob-dog", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of jacob dog sitting on a rock" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 961 Bytes
7db8ce6 96463aa 7db8ce6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 | ---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- animal
datasets: Ashish08/jacob-soni
widget:
- text: a photo of jacob dog sitting on a rock
---
# DreamBooth model for the jacob concept trained by Ashish08 on the Ashish08/jacob-soni dataset.
This is a Stable Diffusion model fine-tuned on the jacob concept with DreamBooth. It can be used by modifying the `instance_prompt`: **a photo of jacob dog**
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 `dog` images for the animal theme.
## Usage
```python
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('Ashish08/jacob-dog')
image = pipeline().images[0]
image
```
|