Text-to-Image
Diffusers
stable-diffusion
lora
art
style
illustration
artist
painting
natalia goncharova
Instructions to use KappaNeuro/natalia-goncharova-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KappaNeuro/natalia-goncharova-style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("KappaNeuro/natalia-goncharova-style") prompt = "Natalia Goncharova Style - Create an elegant figure painting in the style of abstract constructivism, depicting a woman holding a in asaxphhon romantic gesture. Focus on capturing the essence of the musician's emotions and the deep connection between the player and his instrument. Utilize bold and fluid brushstrokes to represent the figure, emphasizing the grace and poise of his stance. Explore the use of geometric forms and abstracted elements to evoke a sense of movement and rhythm, conveying the energy and passion of the music being played. Infuse the composition with a harmonious color palette, carefully selecting hues that convey both intensity and tranquility. Through this artwork, transport viewers to a world of musical enchantment, where the elegance of the figure and the power of the bass merge in a mesmerizing symphony of art." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
