Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use Tornado24/dreambooth_sd15_jay_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Tornado24/dreambooth_sd15_jay_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tornado24/dreambooth_sd15_jay_lora", dtype=torch.bfloat16, device_map="cuda") prompt = "a DSLR photo of a sks jay standing on a large basket of rainbow macarons" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
DreamBooth - Tornado24/dreambooth_sd15_jay_lora
This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on a DSLR photo of a sks jay standing on a large basket of rainbow macarons using DreamBooth. You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
- Downloads last month
- -
Model tree for Tornado24/dreambooth_sd15_jay_lora
Base model
runwayml/stable-diffusion-v1-5