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:
- 0d84d344fb502a964fe7d144d9b4a7734346e72e79e62a95e7157d4f07d7e7f4
- Size of remote file:
- 195 MB
- SHA256:
- 33d15b41a650f5f4a7dfacf6592678d674ae78ac9cf961f5921dff8020c319cb
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