Instructions to use Capacap/filippo-palizzi-artworks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Capacap/filippo-palizzi-artworks with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Capacap/filippo-palizzi-artworks", 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
Filippo Palizzi Artworks on Stable Diffusion via Dreambooth
model by Capacap
This your the Stable Diffusion model fine-tuned the Filippo Palizzi Artworks concept taught to Stable Diffusion with Dreambooth.
It can be used by modifying the instance_prompt: a painting by sks Filippo Palizzi
You can also train your own concepts and upload them to the library by using this notebook.
And you can run your new concept via diffusers: Colab Notebook for Inference, Spaces with the Public Concepts loaded
This is a Stable Diffusion concept trained via Dreambooth on a small set of artworks by Italian painter Filippo Palizzi (1818 – 1899).
Example prompt: "A cozy cottage by sks Filippo Palizzi".
- Downloads last month
- 5








