Instructions to use zthrx/painting_generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zthrx/painting_generator with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zthrx/painting_generator", 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
Painting Generator
Convert your photos and artworks into paintings. Use concep to activate for example: concep, forest, trees etc.
Model trained on brushstrokes, you don't need to put any artist names or style to get nice results. Best to use in img2img mode and inpainting
Download the ckpt file from "files and versions" tab into the stable diffusion models folder of your web-ui of choice
license: creativeml-openrail-m
- Downloads last month
- 21






