How to use from the
Use from the
Diffusers library
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]

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

Sample Sample Sample2 Sample3 Sample4 Sample5 Sample6

license: creativeml-openrail-m

Downloads last month
28
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Space using zthrx/painting_generator 1