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
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Download diffusers/docs/source/en/api/utilities.md from frknayk/dreambooth_training: direct link, hf CLI and curl.
- Browser
- Download file 438 Bytes
-
https://huggingface.co/frknayk/dreambooth_training/resolve/main/diffusers/docs/source/en/api/utilities.md
- Command line
-
hf download hf://frknayk/dreambooth_training/diffusers/docs/source/en/api/utilities.md
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curl -L -o utilities.md https://huggingface.co/frknayk/dreambooth_training/resolve/main/diffusers/docs/source/en/api/utilities.md
438 Bytes
| # 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 |