Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use jcbrz88/dogbooth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jcbrz88/dogbooth with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jcbrz88/dogbooth", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of [v]dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download tokenizer/vocab.json from jcbrz88/dogbooth: direct link, hf CLI and curl.
- Browser
- Download file 1.06 MB
-
https://huggingface.co/jcbrz88/dogbooth/resolve/main/tokenizer/vocab.json
- Command line
-
hf download hf://jcbrz88/dogbooth/tokenizer/vocab.json
-
curl -L -o vocab.json https://huggingface.co/jcbrz88/dogbooth/resolve/main/tokenizer/vocab.json
1.06 MB
File too large to display, you can check the raw version instead.