Instructions to use karthbh/painterly1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use karthbh/painterly1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("karthbh/painterly1") prompt = "painterly" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ea59f523bf3a5d70ff4cfd045426eeea6346fccd4111b27df0070fe85f55212c
- Size of remote file:
- 195 MB
- SHA256:
- 65ac6f822778700c0bcbbe323612896528aeb856282be77697e369c31590cbd9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.