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
- stable_diffusion
- 2.83 kB
- 22.5 kB
- 3.13 kB
- 3.71 kB
- 7.53 kB
- 1.4 kB
- 1.31 kB
- 3.15 kB
- 3.33 kB
- 4.12 kB
- 2.91 kB
- 3.06 kB
- 3.69 kB
- 3.06 kB
- 3.34 kB
- 1.36 kB
- 1.92 kB
- 2.26 kB
- 18.6 kB
- 4.92 kB
- 2.11 kB
- 4.96 kB
- 4.4 kB
- 2.74 kB
- 2.61 kB
- 3.35 kB
- 3.99 kB
- 3.09 kB
- 3.07 kB
- 4.35 kB
- 3.4 kB
- 7.69 kB
- 6.93 kB
- 4.95 kB
- 6.16 kB
- 3.29 kB
- 2.99 kB
- 4.19 kB
- 7.71 kB
- 2.62 kB
- 7.4 kB
- 7.49 kB
- 3.04 kB
- 2.76 kB
- 2.25 kB
- 9.02 kB
- 6.11 kB
- 8.01 kB
- 13.3 kB