Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
animal
Instructions to use bobber/terrier-dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bobber/terrier-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("bobber/terrier-dog", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of terrier dog swimming in the pool" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.bin from bobber/terrier-dog: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/bobber/terrier-dog/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://bobber/terrier-dog/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/bobber/terrier-dog/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- b8ea7a2d1dc2ccd7401a987e866b17cb8499cec9a1cde3046e9b182e50876570
- Size of remote file:
- 335 MB
- SHA256:
- f3d17aa398e021a2600c4a8b570060056a069a1b7b6f8ace78ffa52fff69395d
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