Instructions to use SydigiAI/OilPainting_Style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SydigiAI/OilPainting_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("stablediffusionapi/uber-realistic-porn-merge", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("SydigiAI/OilPainting_Style") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Sora_OilPaintingStyle

- Prompt
- -

- Prompt
- This is original photo to use img2img
Model description
loRA was trained with 4677 images of the style of oil painting

loRA works best for natural landscapes, with weights from: 0.6-1.0. If you are using img2img, leave denoising strength as my model and please do not use Nprompt and turn off adetailer and hires.
Trigger words
You should use Sora_OilPainting to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 8
Model tree for SydigiAI/OilPainting_Style
Base model
stablediffusionapi/uber-realistic-porn-merge