Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use ShadeEngine/SD_kirby_dreambooth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShadeEngine/SD_kirby_dreambooth with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ShadeEngine/SD_kirby_dreambooth", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of kirby" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download diffusers/tests/pipelines/latte/__init__.py from ShadeEngine/SD_kirby_dreambooth: direct link, hf CLI and curl.
- Browser
- Download file 0 Bytes
-
https://huggingface.co/ShadeEngine/SD_kirby_dreambooth/resolve/main/diffusers/tests/pipelines/latte/__init__.py
- Command line
-
hf download hf://ShadeEngine/SD_kirby_dreambooth/diffusers/tests/pipelines/latte/__init__.py
-
curl -L -o __init__.py https://huggingface.co/ShadeEngine/SD_kirby_dreambooth/resolve/main/diffusers/tests/pipelines/latte/__init__.py
0 Bytes