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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- bc54f49de3ab69e3f29dd1223f8cc1c7e54584064b503ca23e640719c6eb4efe
- Size of remote file:
- 167 MB
- SHA256:
- 9cab9e6ef49532bd47bb0dbfa8f6adab999c2ee36a6c6d33791177018bddbe7a
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