Instructions to use treeshark/oilpaintz_v10.safetensors with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use treeshark/oilpaintz_v10.safetensors with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("treeshark/oilpaintz_v10.safetensors") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- d76454d2637f29770d23a068ac95a8cf7cea6bb66b1b4229f9c966742341453f
- Size of remote file:
- 375 kB
- SHA256:
- 001f4777fc8d444f9a7a0a6d55ecbee271bb99cd83e50cd70b6daa0cd0b7e4bc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.