Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
animal
Instructions to use dreambooth-hackathon/ccorgi-dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dreambooth-hackathon/ccorgi-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("dreambooth-hackathon/ccorgi-dog", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of ccorgi dog in the Acropolis" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
DreamBooth model for ccorgi trained by lewtun on the lewtun/corgi dataset.
This your the Stable Diffusion model fine-tuned the ccorgi concept taught to Stable Diffusion with DreamBooth.
It can be used by modifying the instance_prompt: a photo of ccorgi dog
This model was created as part of the DreamBooth Hackathon. Visit the organisation page for instructions on how to take part!
Description
Describe your model and concept here.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('dreambooth-hackathon/ccorgi-dog')
image = pipeline().images[0]
image
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