Instructions to use patrickvonplaten/dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use patrickvonplaten/dummy with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("patrickvonplaten/dummy", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("patrickvonplaten/dummy", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]LoRA DreamBooth - https://huggingface.co/patrickvonplaten/dummy
These are LoRA adaption weights for https://huggingface.co/patrickvonplaten/dummy. The weights were trained on a photo of sks dog using DreamBooth. You can find some example images in the following.
- Downloads last month
- 7
Model tree for patrickvonplaten/dummy
Base model
runwayml/stable-diffusion-v1-5


