Text-to-Image
Diffusers
Safetensors
English
stable-diffusion
fine-tuned
art-style
paintings
custom-style
Instructions to use xcheng20/stable-diffusion-painting-style-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xcheng20/stable-diffusion-painting-style-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xcheng20/stable-diffusion-painting-style-v1", 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 Settings
- Draw Things
- DiffusionBee
Download images/base-owl.png from xcheng20/stable-diffusion-painting-style-v1: direct link, hf CLI and curl.
- Browser
- Download file 199 kB
-
https://huggingface.co/xcheng20/stable-diffusion-painting-style-v1/resolve/main/images/base-owl.png
- Command line
-
hf download hf://xcheng20/stable-diffusion-painting-style-v1/images/base-owl.png
-
curl -L -o base-owl.png https://huggingface.co/xcheng20/stable-diffusion-painting-style-v1/resolve/main/images/base-owl.png
199 kB

- Xet hash:
- 2ff0bda330a815054abd0c21cd8d9cb7a4c6c85f2fd30e2d9360d5bd934d4aa3
- Size of remote file:
- 199 kB
- SHA256:
- 42f76015cf7c6d40b921d72fddd66b000db186ce00090d24f8b599236ae126f4
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