Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use frknayk/dreambooth_training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use frknayk/dreambooth_training with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("frknayk/dreambooth_training", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download diffusers/MANIFEST.in from frknayk/dreambooth_training: direct link, hf CLI and curl.
- Browser
- Download file 67 Bytes
-
https://huggingface.co/frknayk/dreambooth_training/resolve/main/diffusers/MANIFEST.in
- Command line
-
hf download hf://frknayk/dreambooth_training/diffusers/MANIFEST.in
-
curl -L -o MANIFEST.in https://huggingface.co/frknayk/dreambooth_training/resolve/main/diffusers/MANIFEST.in
67 Bytes
| include LICENSE | |
| include src/diffusers/utils/model_card_template.md | |