Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
animal
Instructions to use Tiemi/FunnyShihTzu-dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Tiemi/FunnyShihTzu-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("Tiemi/FunnyShihTzu-dog", dtype=torch.bfloat16, device_map="cuda") prompt = "a cartoon digital art of FunnyShihTzu dog smiling" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
DreamBooth model for the FunnyShihTzu concept trained by Tiemi on the Tiemi/FunnyShihTzu dataset.
This is a Stable Diffusion model fine-tuned on photos of my dog with DreamBooth ๐.
It can be used by modifying the instance_prompt and keeping the tag FunnyShihTzu.
Examples of prompts:
- a cartoon digital art of FunnyShihTzu dog smiling
- a photo of FunnyShihTzu dog laying in the couch
- a funko pop of FunnyShihTzu dog smiling
Each time you run the prompt you'll see a different image (even with the same text).
If you enjoy this model, please give it a like โค๏ธ.
Description
This is a Stable Diffusion model fine-tuned on dog images for the animal theme.
Photo of my dog:
Examples of generated images:
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('Tiemi/FunnyShihTzu-dog')
image = pipeline().images[0]
image
This model was created as part of the DreamBooth Hackathon ๐ฅ. Visit the organisation page for instructions on how to take part!
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