Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
landscape
Instructions to use jonathang/sbhouse-house with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jonathang/sbhouse-house with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jonathang/sbhouse-house", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sbhouse house in the style of Dr Seuss" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Examples
| Generated Image of "a photo of sbhouse house in the style of " "Lenoardo da Vinci" |
|
| Generated Image of "a photo of sbhouse house in the style of " "Picasso" |
|
| Generated Image of "a photo of sbhouse house in the style of " "Van Gogh" |
|
| Generated Image of "a photo of sbhouse house in the style of " "Disney" |
|
| Generated Image of "a photo of sbhouse house in the style of " "Dr Seuss" |
|
| Generated Image of "a photo of sbhouse house in the style of " "Salvador Dali" |
|
DreamBooth model for the sbhouse concept trained by jonathang on the jonathang/dreambooth-hackathon-images-sbob-jpeg dataset.
This is a Stable Diffusion model fine-tuned on the sbhouse concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of sbhouse house
This model was created as part of the DreamBooth Hackathon 🔥. Visit the organisation page for instructions on how to take part!
Description
This is a Stable Diffusion model fine-tuned on house images for the landscape theme.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('jonathang/sbhouse-house')
image = pipeline().images[0]
image
- Downloads last month
- 2