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
File size: 438 Bytes
b2fe733 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | # Utilities
Utility and helper functions for working with 🤗 Diffusers.
## randn_tensor
[[autodoc]] diffusers.utils.randn_tensor
## numpy_to_pil
[[autodoc]] utils.pil_utils.numpy_to_pil
## pt_to_pil
[[autodoc]] utils.pil_utils.pt_to_pil
## load_image
[[autodoc]] utils.testing_utils.load_image
## export_to_video
[[autodoc]] utils.testing_utils.export_to_video
## make_image_grid
[[autodoc]] utils.pil_utils.make_image_grid |